Search Results for “feed” – Treasure Data https://www.treasuredata.com Customer Data Platform Thu, 16 Nov 2023 19:22:20 +0000 en-US hourly 1 https://wordpress.org/?v=5.2.3 https://www.treasuredata.com/wp-content/uploads/cropped-td-favicon-32x32.png Search Results for “feed” – Treasure Data https://www.treasuredata.com 32 32 Terms of Service https://www.treasuredata.com/terms/terms-of-service/ Wed, 15 Nov 2023 21:22:04 +0000 https://www.treasuredata.com/?page_id=474402 Terms of Service between Treasure Data, Inc. and its Customers.

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Updated: November 15, 2023

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Website Terms of Use https://www.treasuredata.com/terms/website-terms-of-use/ Tue, 14 Nov 2023 18:27:37 +0000 https://www.treasuredata.com/?page_id=474375 Terms and conditions governing access to and use of www.treasuredata.com and any content, functionality and services offered on or through the site.

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Updated: October 27, 2023

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End User Terms of Service https://www.treasuredata.com/terms/reseller-end-customer-terms/ Fri, 06 Oct 2023 21:59:22 +0000 https://www.treasuredata.com/?page_id=474261 These End User Terms of Service (“Terms of Service”) are between Treasure Data, Inc. and End User and become effective on the Effective Date. Unless otherwise indicated, terms are defined in Section 11.

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Updated: November 15, 2023

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Artefact & Treasure Data Partnership https://www.treasuredata.com/press_release/artefact-treasure-data-partnership/ https://www.treasuredata.com/press_release/artefact-treasure-data-partnership/#respond Tue, 27 Jun 2023 12:00:16 +0000 https://www.treasuredata.com/?p=472361 The post Artefact & Treasure Data Partnership appeared first on Treasure Data.

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Artefact and Treasure Data Partner to Enable Brands to Deliver Personalized Customer Experiences

Artefact helps clients maximize value of first-party data with Treasure Data Customer Data Cloud

MOUNTAIN VIEW, Calif., June 27, 2023 — Treasure Data™, a leading enterprise customer data platform (CDP) provider, today announced a new formal partnership with global data consulting services company Artefact, designed to support brands throughout their customer journey.

By joining forces with their related offerings, the companies will enable customers to generate more business value from their marketing campaigns, as well as enhance and personalize customer experiences. The collaboration also fosters the creation of an expert community, focused on data marketing and customer knowledge, with shared best practices and feedback that will benefit all clients.

Treasure Data Customer Data Cloud is an award-winning, AI-enabled suite of CDP solutions designed to facilitate an enterprise-wide approach to customer-centricity across a range of industry verticals. Compliant, secure, and scalable, it integrates all customer data from across the organization to enable engagement strategies that are based on unified data and insights, boosting customer knowledge and enabling the personalization of marketing touchpoints at scale.

Artefact’s consultancy services provide end-to-end support, from data marketing strategies, to the activation and measurement of marketing campaigns. As a Treasure Data Gold Partner, Artefact has more than 30 certified employees in over 12 locations around the world; they bring their specific expertise to assist customers through the buying, deployment, and execution stages of their Treasure Data project.

“Artefact recognizes the benefits of leveraging Treasure Data’s innovative Customer Data Cloud, and we are proud to work closely with them,” said Kazuki Ohta, CEO and co-founder at Treasure Data. “Our partnership reinforces both companies’ commitment to providing enterprises with a holistic view of their customers, along with unified customer insights that effectively support their marketing strategies to drive engagement and business results. We look forward to helping our joint global customers achieve these goals.”

Treasure Data and Artefact joint offer

Artefact enables Treasure Data users to fully leverage their first-party data to deliver business value and maximize return-on-investment (ROI). This enables Artefact to provide clients with a clear vision of their data maturity and readiness to implement a CDP. Based on this assessment, the setup and integration of the CDP is undertaken so that it fits the client’s ecosystem, and applications developed in line with business priorities. In addition, Artefact teams lead CDP solutions integration with dedicated applications, and run Booster Programs to measure the ROI of marketing actions. Marketing teams are empowered to enhance customer journeys with personalized and seamless messages to their prospects and clients.

“Customer data platforms are powerful tools that are increasingly being adopted as organizations realize that to build a sustainable and futureproof ecosystem their first-party data must be the focal point of their marketing operations,” stated Vincent Luciani, Artefact CEO and co-founder. “Working with Treasure Data’s state-of-the-art technology, Artefact’s expert teams ensure that customers maximize their investment and demonstrate value by delivering tangible and relevant results, as well as enhanced customer experiences.”

Artefact and Treasure Data collaboration delivers results

Artefact and Treasure Data have already collaborated on more than 20 global accounts, enabling successful digital transformation projects across a variety of industries. CDP ROI can be illustrated by various Key Performance Indicators (KPIs), which usually support larger digital transformation programs within organizations. Among the most impactful are:

  • Optimization of client acquisition strategies as a result of the reconciliation of online and offline profiles in a single customer view. The enriched insights enable the personalization of marketing communications from the initial prospecting phase.
  • Media budget savings through audience suppression applications, such as excluding existing clients and hot prospects from branding media and paid search campaigns, as well as managing the frequency of cross-channel marketing messages.
  • Conversion rate uplift through the automated setup of targeted customer journeys (basket abandonment retargeting, inactive prospects revival, and website personalization, for example).

Artefact and Treasure Data at Nestlé

Multinational food and beverage brand Nestlé has benefited from the collaboration, which helped it streamline customer data across its businesses and use it to generate insights for its operations.

The disruption of consumption habits, as a result of the pandemic, drove the requirement for a CDP at Nestlé. The company needed to expand and improve its customer database in Brazil and manage its data to handle the sudden increase in e-commerce sales.

Working with Artefact and Treasure Data, Nestlé Brazil began to see the desired results. The company implemented the Treasure Data Customer Data Cloud with Artefact in under three months, delivering seven applications focused on advanced customer segmentation, marketing orchestration and data-driven measurement and optimization.

“Thanks to the dedication of the Treasure Data, Artefact, and internal Nestlé teams, we implemented our pilot CDP applications in just 92 days,” explained Patricia Kristman, data and analytics manager at Nestlé Brazil. “This achievement allowed us to reach everyone in our database for the first time – a count of more than 9 million people – compared to 64,000 in our previous CRM campaign in the first pilot. We also saw a 140% increase in engagement with our consumers, and as a result of the data democratization enabled by the Treasure Data Customer Data Cloud, the tool’s adoption by the team has jumped from five to 50 across the business, and it’s growing every day.”

To hear more about this project, a webinar with Artefact, Treasure data and Nestlé is available here: How Nestlé is Driving Marketing Efficiencies and ROI with the Treasure Data Customer Data Cloud.

 

About Treasure Data

Treasure Data helps enterprises use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. The Treasure Data Customer Data Cloud, our suite of customer data platform solutions, integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales, and retention.

Treasure Data is trusted by hundreds of Fortune 500 and Global 2000 companies, has won numerous awards, and has been named a strong performer and leader by top analyst firms. Headquartered in Mountain View, CA, Treasure Data has offices in Japan, South Korea, the United Kingdom, and France to help leading brands around the world make the connection. To learn more, visit www.treasuredata.com.

About Artefact

Artefact is an international data services company specializing in data transformation and data & digital marketing consulting, whose mission is to transform data into business impact by delivering tangible results across the entire value chain.

Artefact’s unique approach, which bridges the gap between data and business, enables our clients to achieve their business objectives in a dedicated and efficient manner. Our 1300 employees combine their multidisciplinary skills to help companies innovate their business. Our cutting-edge technologies in Artificial Intelligence and our agile methods guarantee the success of our clients’ AI projects, from design to deployment, including training and change management. Covering Europe, Asia, North America, Latin America and Africa through our local presence in 20 offices, we work with leading international brands such as Orange, Samsung, L’Oréal, or Sanofi worldwide. www.artefact.com

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Data Security and Privacy: A Complete Guide https://www.treasuredata.com/learn/data-security-and-privacy-tda/ Tue, 24 Jan 2023 16:32:14 +0000 https://www.treasuredata.com/?page_id=464353 Treasure Data helps businesses take control of their data security and privacy to maintain compliance with increasingly complex regulations.

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Data Security and Privacy: A Complete Guide

According to global business advisors at Gartner, 75% of the world’s population will have their personal data regulated by modern privacy laws by the end of the year 2024. As privacy regulations gain momentum across the globe, companies must prepare not only to protect data but also to maintain compliance. Here’s what businesses need to know about data security and privacy.

What Is Data Security?

Data security focuses on protecting data against malicious attacks and threats like data theft, unauthorized access, exploitation, and disclosure. Data breaches remain a major concern for companies and organizations: highly publicized breaches can affect a company’s reputation as well as business operations, client relationships, and even financial stability. Targeted companies may face regulatory fines and legal penalties for compromising consumer data.

Cybersecurity professionals employ several methods to secure data from attacks.

  • Data encryption: A cryptographic algorithm encodes data into another form so only authorized persons with a secret key can access or decrypt files.
  • Data backup and recovery: Applies disaster recovery (DR) technology like cloud storage or off-site servers to restore original data in case of corruption or breach.
  • Masking: Uses a realistic but inauthentic version of the original data to hide sensitive information from hackers.
  • Destruction: Ensures data is completely and reliably destroyed from systems to prevent unauthorized retrieval and/or disclosure.

What Is Data Privacy?

Data privacy concerns controlling how data is collected, used, stored, and shared within legal bounds. For consumers, data privacy is the right to determine to what extent organizations use their personal and sensitive information. Data privacy also entitles consumers to the right to be forgotten by companies and/or organizations that store their information.

Data privacy extends to general confidential data such as intellectual property, internal reports, and corporate and legal records, among others.

Data privacy is a direct, logical result of strong data security. When data is safe from misuse and malicious attacks, it is easy to implement protocols around proper, consensual handling of personal information. When security is compromised, however, it’s a lot harder to keep information private.

Nevertheless, data privacy is NOT data security, nor vice-versa. Data security deals primarily with external threats while data privacy involves internal governance of data usage and sharing. While many different industries understand and implement data security as a straightforward concept, the definition of data privacy varies across geographical and legal contexts (e.g., national vs. international consumer privacy laws).

Data Security and Privacy Landscape

Digital transformation has radically altered the playing field for most businesses. Omnichannel readiness, digital customer experience, and dynamic personalization now offer just as much competitive advantage as a company’s products and services. As the consumer-brand relationship becomes increasingly digitized, concern about data privacy and security has incurred a multitude of regulations around the world.

Let’s take a look at how national and international privacy laws are shaping the data security landscape today and what businesses need to do to maintain compliance.

United States

The U.S. has had its eye on consumer data privacy for some time. The coming new year will see a number of bills become state laws, including:

  • January 1, 2023: The California Privacy Rights Act and the Virginia Consumer Data Protection Act take effect.
  • July 1, 2023: The Colorado Privacy Act and the Connecticut Data Privacy Act take effect.
  • December 31, 2023: The Utah Consumer Privacy Act takes effect.

These are merely precursors to more privacy bills that are already on the way. A privacy legislation tracker from the International Association of Privacy Professionals (IAPP)  shows active bills from Michigan, New Jersey, Ohio, and Pennsylvania.

U.S. State Privacy Legislation Tracker from IAPP (Updated October 2022).

U.S. State Privacy Legislation Tracker from IAPP (Updated October 2022).

These bills grant consumers the right of access, certification, deletion, restriction, portability, and the ability to opt out of sales and automated decision-making. Businesses are obliged to comply with opt-in defaults, transparency requirements, risk assessments, limitations on processing, and discrimination prohibitions.

Europe

Europe is also updating privacy regulations. Major legislative efforts like the Trans-Atlantic Data Privacy Framework (TADPF), Privacy Shield 2.0 updates, and amendments to the French Blocking Institute are focusing on cross-border data requests and transfers. Tighter controls around disclosure will require companies to provide more information to authorities tasked with verifying data access requests.

China

China enacted the Security Assessment Measures for Cross-Border Data Transfers as recently as September 2022. Previously, China has implemented the Cybersecurity Law (2017), Data Security Law (2021), and Personal Information Protection Law (2021). Together with existing privacy laws, the new regulation requires companies to obtain consent and certification for cross-border transfers of data, including personal information.

Proactive Steps Toward Compliance

As privacy laws gain momentum, securing data against cyber threats has never been more important. Below are some proactive steps companies can take to maintain compliance:

Map your data. Understand where your data is located across the organization. Make an inventory of internal and external systems, connected channels, and touchpoints. Identify storage locations/measures for sensitive and personal information. As a best practice, consolidate data silos into a centralized platform for better management. Choose a platform that maps out origin sources as well as where data resides in the consolidated model. It’s also important to use a platform capable of ingesting all types of data that feeds into one place.

Review data protocols and policies. Analyze your organization’s data processing activities to identify protocols that need to be updated to comply with regulations. Verify if data policies like consent options are being implemented by internal teams and whether they are communicated clearly to data subjects. Customer data platforms (CDP) equipped with full consent management modules make it easy for teams to track geo-specific consent rules and implement them in different regions.

Exceed minimum compliance. As privacy laws undergo continuous modifications and updates, they show no signs of relaxing restrictions. Prepare for major regulatory updates by complying with, and—if possible—exceeding minimum standards. Apply best practices to ensure privacy and security. Finally, monitor newly enacted laws as well as bills under discussion in various legislatures.

Data Privacy Solutions

Data privacy solutions keep sensitive information private and protected. They serve the double purpose of preventing unauthorized access and protecting businesses from receiving regulatory fines.Three data privacy solutions to consider when securing sensitive data include:

  • Data and file monitoring tools. These devices monitor activity around data assets and important files. They alert administrators to suspicious behavior patterns or logins from questionable accounts. Early detection prevents further risk or damage to data assets.
  • Risk analysis tools. These instruments analyze and evaluate privacy risks in a company’s data management process. Such risks include inadequate security safeguards, malware and viruses, access by external parties, outdated systems, lack of encryption, and others. Risk analysis tools identify vulnerabilities along the data lifecycle, from collection to storage and usage. For multinational companies, analysis may also include risk factors during international data transfers.
  • Automated compliance monitoring. These solutions automate compliance monitoring by continuously tracking where data (like personally identifiable information or PII) reside in a company’s systems. Once sensitive information moves beyond established protocols, automated compliance monitoring tools alert administrators to take action. Advanced tools can also confirm if requirements and data policies are up to date to maintain compliance.

Data Governance

Contemporary data governance has become incredibly complex due to the sheer amount of data generated by customers via digital channels and touchpoints. To keep up with ever-widening data streams and tightening privacy regulations, companies need a solution to simplify the governance of data security and privacy. A customer data platform (CDP) solves these challenges by centralizing data and control in a single location.

CDPs eliminate data silos. A CDP stores all customer data—from websites to offline records to CRMs and more—in one place. Centralized data storage also eliminates piecemeal data governance solutions that may overlook loopholes in data privacy and security.

A CDP centralizes control. Data administrators can manage access and permissions using a single platform, increasing transparency and accountability around data use.

A CDP unifies customer profiles.  Teams can use a CDP’s profile unification capability to track customers’ actions as well as their consent and preferences. Unified profiles also enable teams to fulfill data subject access requests (DSARs) on demand.

Ensuring Data Security and Privacy With Treasure Data’s CDP

Treasure Data Customer Data Cloud helps you earn and keep your customers’ trust through data security and privacy compliance. Our enterprise-grade CDP gives you a single, powerful platform to collect data with consent anywhere, enforce and maintain privacy compliance, and adapt to changing regulations quickly and easily.

Collect Every Data Point With Geo-Specific Consent

Treasure Data collects, secures, and activates every piece of customer information with consent across all channels, teams, and brands—wherever they may be.

Govern Data in One Place

Treasure Data unifies all of your data with consent in a centralized platform so you can govern access, enable audit logs, and pick out suspicious activity easily.
A graphic showing Treasure Data’s centralized data governance capabilities

Manage Security and Privacy

Use Treasure Data Customer Data Cloud to restrict access to Personally Identifiable Information (PII), and handle automated workflows for DSARs and privacy requests. Enforce consent management, log data use, and manage emergencies from Treasure Data’s secure platform.

A graphic showing Treasure Data’s privacy management capabilities

Treasure Data complies with the latest regulations and continually builds on a strong data security foundation.

A graphic showing Treasure Data’s security certifications

Treasure Data Customer Data Cloud is an integrated suite of cloud-based customer data platform solutions. Treasure Data provides insight by collecting and centralizing customer data, unifying profiles, and analyzing journeys to surface hidden trends in customer behavior.

See Treasure Data’s enterprise customer data platform in action below:

Unlock the power of customer data with Treasure Data Enterprise Customer Data Platform

To learn more about how you can use Treasure Data’s CDP to ensure data security and privacy, consult an expert today. Want to learn more? Request a demo, call 1.866.899.5386, or contact us for more information.

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Leveraging Customer Experience Initiatives To Boost the Bottom Line https://www.treasuredata.com/learn/customer-experience-initiatives-tda/ Mon, 09 Jan 2023 18:00:40 +0000 https://www.treasuredata.com/?page_id=463031 A CDP can fuel your brand's customer experience initiatives with a rich customer data foundation and actionable insights.

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Leveraging Customer Experience Initiatives to Boost the Bottom Line

Over 80% of marketing leaders surveyed in Gartner’s Trend Insights Reports said their organizations expect to compete primarily on customer experience (CX). Leveraging customer experience initiatives can therefore give brands a market advantage and also boost the bottom line. With the right digital tool—like a Customer Data Platform (CDP)—brands can transform customer experiences to drive results and growth. Let’s take a closer look.

What Is Customer Experience?

What is customer experience and how has it become the primary tool in market leaders’ and marketers’ arsenal for driving revenue and growth?

Customer experience is a broad term that refers to how your customers feel about your company and its brand. Essentially, it’s a customer’s evolving opinion of your company, based on all of their interactions and impressions over time. This ongoing relationship is sometimes referred to as the customer journey, and it includes the customer’s experiences of finding, evaluating, and buying, as well as interactions via social media, web browsing, and CRM interactions.

Customer experience is dictated by the brand and how consumer-facing teams shape the way customers engage with the company. Treasure Data’s vision of Connected Customer Experience recognizes how customers want to have the same experience with a company on all channels, and uses the Customer Data Cloud to help businesses realign internal teams for a more well-connected customer experience. While CX itself is not a value proposition, it has increasingly featured in brand strategies to win market share.

After repeatedly upending the business-customer relationship in an unprecedented number of recent global disruptions—waves of viral pandemic mutations, lockdowns, restricted travel, economic downturn, global unrest, etc.—consumers—especially the younger generations—know that a simple web search can unearth a dozen alternatives to a company’s product or service. The increasing commoditization of products and services places greater emphasis on customer experience as the next competitive advantage for brands today.

Customer Experience Initiatives

Market leaders know that the best customer experiences can win the toughest customers’ loyalty, even in spite of a better deal from competitors. Great bargains may catch a lot of attention, but only a few brands win customer trust for a lifetime. Conversely, customers who experience frustration with a brand may not leave any feedback for potential improvements: they just leave.

That being said, customers do want to build relationships with brands that offer quality products and services. Customer experience initiatives, then, center not only on ensuring consumers enjoy every interaction but also on purposefully meeting clients’ specific needs—often indicated via feedback—to move them closer to conversion and loyalty.

Customer Data Platforms (CDPs) like Treasure Data Customer Data Cloud empower brands to win customers’ trust and create great experiences. Check out these examples of data-driven customer experience initiatives that produce tangible results and boost revenue:

Know Your Customers Well

Understanding your customers goes hand-in-hand with providing a great customer experience. Ask yourself:

  • Do I know my customers well?
  • Am I familiar with my customers’ habits?
  • Do I know what constitutes a great customer experience in my customers’ eyes?
  • Am I aware of their expectations, desires, and pain points?
  • Do I know what makes them stay or drives them away?

Gut feeling no longer suffices to answer these questions: data is the key to unlocking your customers’ identities in the digital age. But an “identity,” in this case, means more than simple contact information. Getting to “know” your customers means that you’re able to infer their values from data and behavior and anticipate how they’ll respond to a particular campaign or initiative. This gives brands a good foundation to meet their needs, build trust, and craft great experiences. A CDP offers several methods for building reliable substructures of customer knowledge.

Omnichannel Data Collection. A CDP collects data from all channels—website, mobile, IoT, social media, in-store records, purchase history, transaction records, and more. This means that brands can use every piece of customer data available—legally and with consent. A CDP can also ingest event-level and streaming data to capture real-time snapshots of customers as they interact with brand touchpoints.

Profile Unification. CDPs stitch disconnected pieces of information to specific individuals. A CDP matches data to customers either through identifiers like email or phone numbers (deterministic matching) or through an intelligent estimate that pins information like device type or IP address to a user (probabilistic matching). After unifying profiles, a CDP assigns a permanent ID to customers so brands can track their movement across channels.

Profile Enrichment. Sometimes, first-party data or data collected from a brand’s own channels is not enough. CDPs enrich profiles by seeking second-party data (other brands’ first-party data on the same customer) and third-party data (external information such as weather, public demographic information, and others). Using these additional data, a CDP builds a well-rounded customer profile that brands can use to better understand their customers.

A graphic depicting a simplified model of Treasure Data’s profile unification process

These techniques help brands get to know their customers more deeply so they can tailor CX to their unique needs. The next step is understanding what customers do in their journeys.

Understand Customer Journeys From the Inside Out

Customer journeys contain clues about people’s experiences when engaging with brands on their way to a purchase decision. Starting with the customer’s point of view—instead of a marketer or a sales agent—offers a better perspective from which to assess potential improvements. This spares companies from implementing generalized CX initiatives that relate very little to customers’ actual experiences.

Do your customers really need another chatbot or just a more efficient way to reach the right support agent? While outside observers can speculate on what makes an experience great for customers, nothing beats an inside tip about what customers truly want—and expect. Here, a CDP offers brands several techniques to understand customer journeys from the inside out:

Journey Analysis. Teams can use a CDP to analyze and map customer journeys to understand behavior stages, customer goals, and critical touchpoints. Brands can apply these insights to invest in important customer touchpoints and align CX initiatives to customers’ goals.

Audience Segmentation. While customers’ journeys vary, certain audiences exhibit similar characteristics and behavior. Brands can use a CDP to segment audiences to better understand how groups of customers differ. For example, younger shoppers may be eager to close a big purchase online (like a car) while older customers prefer to meet in-store sales personnel first. By segmenting audiences, teams can tailor CX initiatives to address generational differences as well as segmented needs.

Multi-Touch Attribution (MTA) Modeling. Treasure Data’s CDP utilizes a unique multi-touch attribution modeling that uses Shapley values. This model gives marketing teams a better picture of what contributes to a customer’s conversion by scoring all touchpoints—not just the first or last.

Graphic from Treasure Data webpage depicting its Multi-Touch Attribution model

MTA modeling gives brands an idea of what channels and touchpoints are most effective in engaging customers, as well as those that create friction in the customer journey. Teams can then translate these findings into customer experience initiatives for smoother journeys.

Orchestrate Journeys

Only with a deeper understanding of customers and their journeys can brands create truly consumer-centric CX initiatives. By addressing real concerns and felt needs, brands can orchestrate journeys that make it easier for customers to move toward conversion.

A CDP enables teams to orchestrate customer journeys and create good experiences through the following techniques:

Address pain points. CDPs analyze customer journeys and identify where past pain points have occurred. Using this data, a CDP can leverage machine learning (ML) to predict where pain points will occur in similar segments. Brands can use these forecasts together with real-time customer behavior to preempt problematic CX events and prevent them before they occur.

Predict decision moments. In the same way, brands can leverage a CDP’s ML to identify critical decision moments in customers’ journeys and predict similar opportunities in other audiences. Teams can use these predictions to make it easier for customers to convert when the moment of decision arrives. For example, brands can send relevant offers or messaging when a shopper considers completing the purchase of a previously abandoned item.

A/B Test. Lastly, teams can use CDPs to test whether CX moments and pain points occurred as predicted. Teams can run A/B tests on selected segments and compare results to forecasts. This enables brands to refine journeys and customer experience initiatives quickly to win conversions.

CDPs like Treasure Data Customer Data Cloud harness ML, Journey Orchestration, predictive analytics, and real-time A/B testing to help brands orchestrate journeys and create great customer experiences.

A graphic depicting Treasure Data’s Journey Orchestration process

Good CX Requires Good Insights 

None of these customer experience initiatives are possible without insight. Customer insights are interpretations of trends and patterns uncovered in customer behavior that can be used in initiatives to impact business outcomes more meaningfully. Customer insights offer a more precise set of actionable information than market research, which deals with broader industry trends. It’s going to take more than surface-level data for brands to create exceptional experiences that meet customers’ expectations and drive results.

CDPs like Treasure Data Customer Data Cloud produce in-depth consumer insights that unlock the best customer experience initiatives for audiences. Starting with a rich customer data foundation, Treasure Data applies ML techniques and predictive analytics to derive actionable insights.

Step 1: Treasure Data Customer Data Cloud builds a rich customer data foundation comprised of 360° unified customer profiles. Each profile consists of omnichannel data, enriching information from second- and third-party sources, and updated data from ongoing brand interactions.

Step 2: The CDP’s ML techniques process millions of data points to uncover trends and patterns in human behavior. These analyses can be enriched by comparing results from different audience segments. Examples of customer insights include:

  • Common traits among audiences and segments
  • Which profiles are likely to churn
  • Which profiles are likely to become loyal
  • Best recommendations for upselling and cross-selling offers to specific segments

Step 3: Teams apply Treasure Data Customer Data Cloud’s machine learning-derived insights to customer experience initiatives such as personalization, targeted campaigns, and optimization across channels.

Step 4: Teams measure outcomes and further refine for success through campaign performance tracking, A/B testing, and comparison of forecasts to results.

CDP Customer Insights

With CDPs like Treasure Data Customer Data Cloud, brands can boost their bottom line by creating the best customer experience and winning customers’ trust. Brands can use Treasure Data to learn their customers well, understand customer journeys from the inside out, and orchestrate journeys to move customers closer to conversion with each interaction.

Unlock The Best Customer Experience With Treasure Data

Treasure Data’s enterprise-grade customer data platform is trusted by Fortune 500 and Global 2000 companies around the world. We help brands transform customer journeys by delivering exceptional experiences at the right place and time to the right audience.

Treasure Data’s Customer Data Cloud is an integrated suite of cloud-based customer data platform solutions that helps companies improve campaign performance, achieve operational efficiency, and create connected customer experiences. See what you can do with Treasure Data:

  • Collect and centralize customer data from all sources
  • Unify customer profiles using online + offline data
  • Segment audiences by attributes, user behavior, and others
  • Derive actionable insights using Machine learning techniques
  • Personalize customer experience at all customer journey stages
  • Predict customer behavior
  • And more

Watch Treasure Data in action below:

Unlock the power of customer data with Treasure Data Enterprise Customer Data Platform

To learn more about how brands can use Treasure Data’s CDP to leverage customer experience initiatives and drive results, consult an expert today. Want to learn more? Request a demo, call 1.866.899.5386, or contact us for more information.

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Customer Experience: New Trends You Didn’t Expect https://www.treasuredata.com/resources/customer-experience-new-trends-tda/ Wed, 21 Sep 2022 13:50:45 +0000 https://www.treasuredata.com/?page_id=449356 Brands that use a CDP for customer experience insights can track new trends and also predict them to stay a step ahead of competitors.

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Customer Experience: New Trends You Didn’t Expect

It’s already been proven: good customer experience promotes revenue and growth, even in times of recession. As new customer experience (CX) trends continue to emerge, brands must maintain consumer relationships with an eye toward expanding their breadth and depth—engaging audiences through novel and exciting touchpoints while retaining emotional connections. A customer data platform (CDP) helps brands not only track CX trends but also predict them to secure an early advantage over competitors. Let’s take a closer look at the new customer experience trends you can leverage today with the help of a CDP.

Customer Experience Evolution and New Trends

Customer experience has been an inherent aspect of commerce ever since goods exchanged hands in ancient marketplaces. But only with the establishment of market research in the last century or so did businesses begin to perceive customer experience as a potential business tool rather than a mere side effect. Designed to test and increase advertising effectiveness, market research eventually included customer satisfaction as a business performance metric. Soon, customer experience evolved into a differentiating factor in its own right as products and services grew more commodified.

While customer and user experience (UX) evolved over the years as influential market forces, they have also become valuable marketing tools. Teams craft them to engage users and solve consumer pain points along the way. The marketer’s goal is to create the smoothest, most stress-free customer journey possible for a superlative customer experience.

Today, with more empowered and informed consumers, the quality of customer experience can influence business outcomes throughout the customer lifecycle, including audience engagement, conversion, loyalty, and advocacy. Brands need to stay on top of customer experience trends in order to stand out from the rest. Below are some new customer experience trends brands can leverage with the help of a CDP.

#1 Emotional Connections


Human beings are naturally addicted to pleasant experiences: we tend to repeat positive experiences and avoid negative ones. Despite sounding like a rather obvious statement, this emotional connection has only been recently rediscovered by brands and market professionals. According to Forrester’s Customer Experience Index 2022, top brands maintained excellent customer experience quality during tumultuous times of the recent global pandemic in 2021 and 2022 by providing high emotional quality in CX. The top 5% performing brands scored 15% more emotionally positive customer experiences compared to their competitors.

Investing in long-term consumer relationships requires that brands intentionally craft positive emotional experiences through initiatives like personalization and nurturing. In order to do this, brands need to know who their customers are and what they see as positive experiences.

Customer data platforms (CDP) offer brands a unique advantage through their ability to unify consumer profiles. By correctly attributing multiple data points to the same individual, a CDP pins down seemingly disconnected information—a social media login, a website visit, or an abandoned e-commerce cart—to a known customer. The CDP then enriches the profile with information like demographic data to produce a robust, persistent identity that marketers can track throughout the customer journey. With every customer movement that’s captured via connected channels and touchpoints, a CDP’s customer data foundation matures. Brands can use this rich data to extract customer journey insights and build emotional connections through meaningful interactions.

#2 Touchless User Interfaces

A graphic suggesting facial biometrics for touchless user interfaces
One of the most exciting new trends in customer experience is the advent of touchless interfaces. This is driven in part by heightened health and safety consciousness brought about by COVID-19. But technological breakthroughs serve as another driving force for going touchless and screenless in the future. Consumers are beginning to see smart interfaces that incorporate biometrics, voice, gestures, and eye-tracking technologies in their daily transactions.

One example is Mastercard’s smile-to-pay system, part of its Biometric Checkout Program that harnesses biometric and facial recognition technology. Customers can either smile or wave their hand over a reader to pay for purchases instead of using cash or a physical card. Mastercard says that its touchless system can be integrated not only with checkout services but also with loyalty programs and even personalized recommendations.

A CDP’s omnichannel capabilities position brands to anticipate the integration of touchless interfaces in the customer’s journey. Unlike other tools like customer relationship management (CRM), or a data management platform (DMP), a CDP is designed to integrate seamlessly with existing channels and martech stacks. The CDP alone provides 360° visibility into customer journeys, making sure brands don’t miss out on customers’ actions regardless of where interactions take place.

#3 Intuitive Digital Experience

A graphic suggesting a digital landscape for car buyers looking to examine and purchase cars online
Another new customer experience trend involves fine-tuning digital experiences to be more  intuitive. An increasing number of brands are shaping digital journeys around customers’ needs and expectations. CX professionals reimagine what a customer thinks and does when interacting with digital touchpoints as they move toward a critical decision point. This trend sees consumer-centric brands eliminating unnecessary steps, reducing friction in UX, and making the path to conversion as smooth as possible for consumers.

One example of a brand crafting an intuitive digital experience is Carvana, an e-commerce platform for buying and selling used cars. Understanding car buyers’ reluctance to engage with a full sales presentation just to get to the cars they want, Carvana created an online platform where users can check out thousands of cars from the comfort of their homes. Each car is displayed with complete and updated interior and exterior views.

Once purchased, customers can have their new (certified pre-owned) car delivered. They can also pick up vehicles on-site, where an enormous car vending machine touchlessly delivers each purchase—after inserting an appropriately oversized token. This model eliminates in-person steps that necessitate visiting a dealership. Lastly, customers can return vehicles within 7 days of purchase, no questions asked. Every step in the digital journey is designed to serve users’ spoken and unspoken needs with convenience, speed, quality assurance, security, and a touch of spectacle with the vending machine.

Human behavior is just as likely to shape consumers’ digital journeys as technological innovations. Here again, a CDP offers brands unique benefits. By providing consumer insight, creating consistent experiences across channels and touchpoints, and creating a feedback loop for customer engagement, CDPs help teams shape the digital journey continuously to create intuitive experiences for customers.

How a CDP Tracks and Predicts Trends

As customer behavior changes, CX and UX trends follow. A customer data platform empowers brands to track and predict new customer experience trends. If the old adage, “forewarned is forearmed,” holds true, a CDP can deliver early warnings about emerging trends to keep brands ahead of the competition. CDPs accomplish this feat by collecting and analyzing event-level data, tracking customers through their journeys, and employing predictive analytics.

Predictive analytics use algorithms and machine learning to anticipate future outcomes based on data. A form of predictive modeling, predictive analytics is the branch of big data analytics that is specifically concerned with revealing insights on what will happen in the future based on what has already occurred in the past.

Drawing from its rich customer data foundation—a centralized database built on quality and enriched customer data collected from various data sources—a CDP applies machine learning and analytics to uncover patterns and trends. This capability allows brands to:

  • Understand customer behavior
  • Segment audiences based on similar attributes and actions
  • Predict consumer responses to specific scenarios and initiatives
  • Determine pain points in the customer experience
  • Identify ‘micro-moments’ and opportunities for conversion in the customer journey

Let’s take a step-by-step look at the process of predicting CX trends with customer data using a CDP solution like Treasure Data Customer Data Cloud.

A CDP Builds A Customer Data Foundation

First, CDPs like Treasure Data Customer Data Cloud track customer behavior across channels by building a centralized customer data foundation. It collects first-party information from brand websites, mobile apps, point-of-sale systems, customer relationship management (CRM) systems, and data management platforms (DMP), among others.

A graphic depicting a simplified model of Treasure Data’s profile unification process

The Customer Data Cloud unifies all this information as permanent, persistent profiles so customers’ movements across touchpoints can be accurately and lawfully tracked. Treasure Data also enriches customer profiles with information from second-party and third-party sources to strengthen its customer data foundation.

A CDP Analyzes Data

After gathering data from all possible sources and unifying profiles, the CDP then performs analyses to generate insight. Best-in-class CDPs like Treasure Data Customer Data Cloud use AI and machine learning to segment audiences with similar characteristics according to predefined rules. This step increases the accuracy of analyses and forecasts for specific target groups.

A graphic depicting audience segmentation

After narrowing down target groups, the CDP analyzes audience segments’ journeys to pinpoint interactions that indicate pain points (e.g., online checkout issues) or opportunities (high website traffic on a certain day of the week). Treasure Data employs a multi-touch attribution model that uses Long Short-Term Memory (LSTM) deep learning with Shapley values to surface statistical patterns from user journey data. This approach helps brands understand how different channels contribute to a consumer’s experience and subsequent decision to convert or churn.

By using event-level data and applying machine learning analytics, brands can understand their audiences at a nearly intuitive level. A CDP provides teams with a bird’s eye view as well as detailed insight into critical moments in customers’ journeys.

A CDP Predicts CX Trends

Lastly, brands can use consumer insights generated by a CDP to understand what factors contribute to systemic pain points as well as conversion opportunities in customer experiences. These insights also act as guides to developing patterns in customer experience based on shifts in customers’ behavior.

Consumer insights can include the following:

  • Purchase habits
  • Attitudinal trends
  • Engagement with channels
  • Product acceptance
  • Response to marketing actions
  • Frequent friction areas, like slow customer service, complicated checkout process, etc.
  • Consumer needs and wants

Customer insights reveal significant changes in consumer behaviors that can signal emerging trends. Brands can enrich those insights by comparing one segment’s journey characteristics against others and predicting how a target group might react based on a seed audience’s historical data.

Graphic depicting Treasure Data’s simplified model for predicting customer behavior

Customer insights from a CDP analysis of target audience segments can also be used to predict customers’ responses to certain CX initiatives.

Let’s imagine that a group of customers is steadily increasing interactions with an AI-powered shopping assistant to book movie tickets on their phones instead of waiting in line. Coupled with other insights such as audience characteristics or frequently used channels, a company can predict a similar CX trend to occur in a comparable setting.

A target audience with comparable characteristics and behavior can be expected to adopt a similarly innovative solution for a similar transaction, like scheduling a consultation or a private coaching session. Thus, a brand’s investment in an AI assistant solution is justified and well-timed to take advantage of a trending innovation in customer experience.

By leveraging a CDP’s omnichannel collection of event-level data and machine learning capability, brands can track shifts in customer behavior and predict customer experience trends. Consumer insights based on analyses of audience segments’ historical data further boost predictive models and enable brands to take advantage of emerging CX trends.

Predict the Future With Treasure Data

Treasure Data’s enterprise-grade customer data platform is trusted by Fortune 500 and Global 2000 companies around the world. We help brands identify consumer attitudes and purchase patterns to track—and even predict—trends for an early advantage over the competition.

Treasure Data Customer Data Cloud is an integrated suite of cloud-based customer data platform solutions that helps companies improve campaign performance, achieve operational efficiency, and create connected customer experiences. See what you can do with Treasure Data:

  • Collect and centralize customer data from all sources
  • Unify customer profiles using online + offline data
  • Segment audiences by attributes, user behavior, and others
  • Predict customer behavior
  • Personalize customer experience at all customer journey stages
  • And more

Watch Treasure Data in action below:

Unlock the power of customer data with Treasure Data Enterprise Customer Data Platform

To learn more about how CDP can help brands anticipate new customer experience trends, consult an expert today. Want to learn more? Request a demo, call 1.866.899.5386, or contact us for more information.

The post Customer Experience: New Trends You Didn’t Expect appeared first on Treasure Data.

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Best Examples for Marketing Optimization You Will Actually Use https://www.treasuredata.com/learn/cdp-examples-tda/ Fri, 08 Jul 2022 17:43:20 +0000 https://www.treasuredata.com/?page_id=440412 CDP marketing optimization examples include lead nurturing, audience segmentation, omnichannel messaging, and journey personalization, among others.

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Best Examples for Marketing Optimization You Will Actually Use

For effective marketing optimization, B2B research firm Ascend2 reports that personalization is every marketer’s top priority (43%), especially for email campaigns. Data quality ranks second (39%), followed by design (34%), messaging (33%), and content type (28%).

As personalization becomes increasingly indispensable to many brands, customer data platforms (CDP) are becoming the marketer’s secret weapon for optimization. Here, we will look at examples of marketing optimization you can leverage using a CDP.

What Is A CDP?

A Customer Data Platform (CDP) is a unified customer database that builds rich customer profiles using data collected from systems across the company.

Marketers can use it to personalize website experiences, send targeted emails, offer relevant recommendations, implement retargeting, and much more.

A customer data platform centralizes customer information by connecting to a wide range of sources and systems. It builds a customer data foundation using all types of data from real-time interactions, mobile transactions, campaigns, customer support, point-of-sale systems, marketing, purchase history, and more.

CDPs then create unified customer profiles, which become the single source of truth for all internal departments—especially marketing, service, and support teams. This empowers teams to orchestrate the customer journey and ensure consistent experiences, from the first touchpoint to the last.

Best-in-breed CDPs implement a high level of personalization across individual customer journeys at scale. Other marketing optimization actions include:

  • AI-powered recommendations
  • Continuous A/B testing
  • Retargeting audiences
  • Activation of audience segments
  • Real-time optimization across display, search, social, and other channels

Let’s take a look at some top CDP providers and their marketing optimization capabilities.

CDP Examples

The following CDP players are among the top-rated brands at review sites G2 and TrustRadius.

SALESmanago CDP & Marketing Automation

All-in-one customer data platform and customer experience platform (CDXP) which also functions as a marketing automation platform.
  • Marketing calendar
  • Campaigns & funnels
  • Omnichannel execution
  • Personalization
  • Campaign delivery optimization

Klaviyo

Unified customer data platform for marketing automation (email, SMS, and more).
  • Best-in-class Segmentation and Personalization
  • Pre-built Automations and Flow Builder
  • Data Science and Analytics
  • Unlimited A/B Testing
  • Facebook and Instagram advertising

Bloomreach

Real-time customer data platform with intelligent marketing automation.
  • Omnichannel communications
  • Journey orchestration
  • Testing and overlays

Insider

Customer data platform for individualized, cross-channel experiences including web, app, email, SMS, messaging apps, web push, and ads.
  • Survey Builder
  • Web and app experience optimization tools
  • Pre-built templates for web and apps
  • Dynamic, individualized banners

TreasureData

Enterprise customer data platform for end-to-end, fully-managed cloud service for big data and personalized customer journeys.
  • Personalized communication on social, messaging apps, email, and website
  • AI- and ML-powered recommendation engine for next best action (NBA)
  • Smart advertising
  • Predictive modeling
  • Content marketing
  • Campaign execution
  • Audience segmentation and activation for closed-loop marketing

CDP Marketing Optimization Examples

How can brands use CDPs to optimize marketing initiatives such as customer outreach, communication, and personalization? Here are several examples.

Example #1: Lead-Nurturing Through Email Campaigns

Lead-nurturing is an important strategy, especially for B2B brands that cater to smaller audiences in comparison to consumer-facing brands. This strategy is also used by companies with growing client bases to develop new leads. Marketers often use one or more of the following email campaign types to nurture leads:

  • Auto-responder: consumers receive welcome emails, birthday greetings, and other programmed scripts
  • Drip campaign: consumers receive a series of emails about the brand or product/service
  • Closed-loop campaign: consumers receive emails based on their response to previous marketing/sales initiatives

A customer data platform can be used to create and activate a marketing calendar around email campaigns. Marketers can first use CDPs to distinguish new customers from loyal buyers. These are then nurtured through educational email content, such as brand philosophy, instead of untimely loyalty program offers. By personalizing content based on a lead’s stage in the funnel, marketers can increase brand awareness and onboard new leads in an intentional cycle.

Example #2: Audience Segmentation

Audience segmentation is another way to optimize marketing based on customer preferences. A CDP’s capabilities allow marketers to fine-tune messaging, frequency, and use of communication channels according to audience levels of interest and commitment.

For example, companies expanding their product lines to cater to different sub-markets can use CDP to segment audiences. Marketers can then derive insights from audience segment analyses, and use them to handpick relevant content for people using product A. Another form of content can be prepared and sent to users of product B, product C, and so on.

The same is true for communicating with brand ambassadors who consume extensive (and often exclusive) content. Once a brand builds a community of loyal users at a global scale, messaging needs to be timely and relevant to each ambassador. Marketers can use CDPs to build segments and then activate specific campaigns with a click instead of using blanket messaging for each one.

Example #3: Omnichannel Communication

Reaching customers on every possible channel is vital to marketing success. In addition, customers no longer see one touchpoint as a separate experience from another; instead, they perceive the brand as a single entity communicating with them through different channels. Therefore, marketers need to ensure messaging is consistent across all touchpoints.

CDP helps make this a possibility by empowering marketers to deliver the right message in the right way at every consumer-brand interface. Marketers can leverage enterprise CDPs with advanced technology such as natural language processing, behavioral analysis, and others to further calibrate omnichannel communication.

For example, if a brand wants to capture new audiences on an innovative touchpoint like voice search, marketers can use a CDP’s Machine-Learning capabilities to deliver relevant results. First, the CDP analyzes data from previous voice searches to determine the most popular conversational keywords. These are then used to optimize search results in anticipation of voice shoppers’ needs. A CDP also uses insight from behavioral analytics to shape website content, display relevant ads, and personalize experiences at this emergent touchpoint to ensure a smooth customer journey.

With consumers connecting to more devices than ever, a CDP helps brands prepare their omnichannel communications strategy to meet customers across any and every channel.

Example #4: Customer Feedback Via Surveys

It may surprise some marketers to find that customers themselves can be their best allies when it comes to marketing optimization. Customers are the ones who receive marketing messages, experience events, interact with campaigns, and consume content. Marketing teams can tap into the wealth of firsthand insights from customers through feedback tools such as surveys and questionnaires. CDPs can help build these tools and integrate them into marketing events for a seamless experience.

While some people may freely share their opinions, the average consumer does not typically see the value of sitting down and completing a survey. Marketers can encourage feedback by incentivizing surveys through relevant offers and rewards. Again, insights derived from CDP audience analysis can guide marketers to identify consumer preferences in exchange for valuable feedback. A CDP also enables brands to push survey invitations onto popular interfaces such as mobile apps and social media so customers don’t think it a burdensome task.

Marketing teams can use valuable feedback to improve content, design, and other aspects of communications to serve customers. Feedback can also inform interventional strategies to reduce churn and increase conversion.

Example #5: Personalization And Next-Best-Action Decisioning

Enterprise CDPs like Treasure Data use deep analytics and audience insights to personalize customers’ journeys. Real-time personalization occurs in 3 steps:

  • Audience Management: Treasure Data CDP collects all types of data and unifies profiles to build a customer data foundation
  • Journey Orchestration: Treasure Data CDP fine-tunes campaigns to move customers toward conversion
  • Omnichannel Messaging: Treasure Data CDP orchestrates messaging across email, social, digital, and display channels to target specific audience segments

Treasure Data CDP uses Profiles API Token to hyper-personalize content based on granular customer information. This API also returns real-time customer data to update audience segments. Marketers can combine Treasure Data’s personalization feature with A/B Testing tools for greater optimization.

In addition, Treasure Data CDP’s AI and Machine Learning capabilities provide marketers with the ultimate marketing optimization tool: Next-Best-Action (NBA) decisioning.

Treasure Data’s NBA strategy uses data-driven insights and big data analytics to forecast precisely what customers want, when they want it. It also uses insights and patterns uncovered by analyses to recommend the Next-Best-Action calculated to move the customer closer to conversion.

NBA decisioning is more than just optimization: it’s the closest thing to marketing omniscience.

Powered by rich customer behavioral data and insights, NBA uses a real-time feedback loop of engagement and predictive analytics—capabilities found in Treasure Data’s enterprise CDP.

To illustrate, consider a customer in the market for a new car. One of their first steps is an online search for local dealers. Treasure Data creates a unified profile from enriched first-party information and scores the customer on their propensity to buy certain car models. The marketing team then uses Treasure Data’s CDP to activate a highly personalized campaign across devices, social media, and channels based on the customer’s actions.

Treasure Data uses NBA decisioning to choose between sending an educational email, relevant ads on highly used channels, or information on local dealerships to meet the customer’s needs. Once the customer buys the car, Treasure Data can again use insights-driven decisioning to build loyalty and offer upsell/cross-sell opportunities at relevant points in the customer journey.

Your Best Marketing Optimization Tool: Treasure Data Enterprise CDP

Treasure Data enterprise CDP is a best-of-breed CDP that helps companies solve complex data problems. More than 400 brands trust us to optimize marketing actions and create the best journey for customers. Our client list includes the following global names:

Watch this Treasure Data Enterprise Customer Data Platform Demo video to learn more:

Treasure Data Enterprise Customer Data Platform Demo

For more CDP marketing optimization examples, consult an expert today. Want to learn more? Request a demo, call +1.866.899.5386, or contact us for more information.

The post Best Examples for Marketing Optimization You Will Actually Use appeared first on Treasure Data.

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Treasure Data Candidate Privacy Statement https://www.treasuredata.com/candidate-privacy-statement/ Thu, 23 Jun 2022 18:46:56 +0000 https://www.treasuredata.com/?page_id=439731 The post Treasure Data Candidate Privacy Statement appeared first on Treasure Data.

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Last updated: January 5, 2023

This privacy statement describes the handling of personal data obtained about internal and external job applicants by Treasure Data, Inc. and its local affiliate relevant to the job in question (“we”, “us”, or “Treasure Data”), including applicants who have applied directly to Treasure Data as well as through third party agencies and recruiters. It also describes the handling of personal data of any prospective candidates who expressed an interest in receiving news and details about future job opportunities at Treasure Data.

Personal data is information, or a combination of information, that could reasonably allow you to be identified. This privacy statement describes:

  • what personal data we collect during the application and recruitment process and why we collect it;
  • how we collect, use and protect that personal data; and
  • how you can exercise the rights available to you under applicable law in relation to that personal data.

Treasure Data’s processing of personal data is in all cases subject to the requirements of applicable local law.

This privacy statement does not cover your use of Treasure Data’s websites. To learn more about Treasure Data’s data collection and processing practices in that regard, please read our general Privacy Statement. This privacy statement does not cover the collection and processing by Treasure Data of personal data related to Treasure Data’s employees or other workers.

  1. Types of personal data we collect and process

We collect your personal data from you directly and potentially from other sources.

The personal data that we collect directly from you can include:

  • personal identifiers (e.g. your name) and contact information (e.g. home address, email address, telephone number);
  • educational information (e.g. educational history, qualifications, certifications) and job history (e.g. previous employment, performance history);
  • information on previous and/or relevant work experience;
  • information you include in your resume or CV, cover letter or other information you provide to us in support of an application and/or in connection with the recruitment process;
  • information from interviews you may have (if any), including information you may choose to voluntarily submit to us (e.g. information about your compensation history or personal situation);
  • information on the type of employment you are or may be looking for, desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
  • details of how you heard about the position you are applying for;
  • information related to any assessment you may take as part of the interview screening process;
  • information about your family and dependents;
  • sensitive and/or demographic personal data obtained during the application or recruitment process such as race or ethnicity, gender, veteran status;
  • nationality, citizenship, immigration information (e.g. for visa purposes, right to work information);
  • information about your health or disabilities (e.g. in connection with a request for accommodation in the interview process);
  • information relating to any previous applications you may have made to Treasure Data and/or any previous employment history with Treasure Data;
  • electronic, visual and/or audio information in connection with on-premise location monitoring for security purposes.

We may collect the following personal data about you from other sources:

  • information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application (e.g., your LinkedIn profile);
  • reference information and/or information received from background checks (where applicable), potentially including your criminal records history, employment history, educational history and/or compensation history, from employment screening agencies, publicly available registers or databases, former employers and/or educational institutions (as allowed by local laws);
  • information about your performance or conduct from individuals you work with and/or with whom you have worked in the past who may provide feedback about you;
  • information about you from Treasure Data employees who interview you and who may provide feedback about you. This may include for example inferences drawn from education, employment, employment history, and professional or employment-related information relating to your characteristics, preferences, predispositions, behavior, attitudes, intelligence, abilities, and aptitudes.
  1. How we use your personal data

We use your personal data for the purposes of carrying out our recruitment activities and complying with the law. Our use of your personal data includes:

  • managing our recruitment system, job applications and a database of interested individuals and leads;
  • assessing your skills, qualifications and interests against career opportunities at Treasure Data;
  • verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
  • communicating with you about the recruitment process and/or your application(s);
  • in appropriate cases, sending you communications about other potential career opportunities at Treasure Data that you may be interested in;
  • where requested by you, assisting you with obtaining an immigration visa or work permit where required;
  • proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us;
  • responding to your enquiries;
  • operating, evaluating and improving Treasure Data’s application and/or recruitment process and activities, including improving diversity in recruitment practices;
  • creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
  • complying with applicable laws, regulations, legal processes or enforceable governmental requests;
  • protecting the rights and property of Treasure Data or a third party, as required or permitted by applicable law.
  1. Data disclosures

We will share your personal data with third parties who have a legitimate need for it, including:

  • in order to carry out the purposes of our processing described above. Your personal data may be shared with Treasure Data, Inc. and its subsidiaries, for example for internal human resource management;
  • in order to enable our service providers to provide their services to us. Treasure Data uses service providers to perform some of the processing activities described above, for example background checks;
  • in order to comply with our legal obligations, regulations, government clearances, or contracts or to respond to a court order, administrative or judicial process or a lawful request by a public authority. Categories of recipients would include counterparties to contracts, law enforcement agencies, courts, regulators, government authorities or other third party;
  • as necessary to establish, exercise or defend against potential, threatened or actual litigation (for example, to seek legal advice from external lawyers);
  • in order to detect, prevent or otherwise address fraud, security or technical issues, or to protect our rights, your rights or the rights of any third party;
  • otherwise in accordance with your consent (for example, if you have given us permission to contact your referees). It is your responsibility to obtain consent from referees before providing their personal data to Treasure Data.
  1. Data security

The security of your personal data is very important to us. We use reasonable physical, electronic, and organizational safeguards appropriate to nature of the personal data that we process according to this privacy statement and designed to protect such personal data from loss, misuse, and unauthorized access, use, alteration, or disclosure.  Please note that no system is completely secure. So, while we strive to protect your data, we cannot guarantee that unauthorized access, hacking, data loss or a data breach will never occur.

  1. International transfers

Treasure Data operates globally, which means your personal data may be stored and processed outside of the country where it was originally collected. For example, because we are headquartered in the United States, personal data collected in other countries is routinely transferred to the United States for processing.

  1. Data retention

If you apply for a job at Treasure Data and your application is unsuccessful (or you withdraw from the process or decline our offer), Treasure Data will retain your personal data for a period after your application. We retain this information in accordance with Treasure Data’s data retention policy for as long as reasonably necessary to fulfill the purposes for which the personal data was collected and to pursue our legitimate interests, for example to defend any existing or potential legal claims.

The criteria we use to determine the data retention period for your personal data are:

  • Whether your application remains under process;
  • Whether you have requested that we retain your personal data for future opportunities;
  • Whether retention of your personal data is required by law, demanded by law enforcement or governmental agencies, or is required to enforce our legal rights;
  • Where we process your personal data with your consent, we process it until you ask us to stop and for a short period after this (to allow us to implement your requests). We also keep a permanent record of the fact that you have asked us to cease processing your personal data so that we can respect your request in the future.
  1. Your rights in respect of your personal data

In certain countries, you may have certain rights under data protection law. This may include the right to request access or to update or review your personal data, to request that it is deleted or anonymized, or object to or restrict Treasure Data using it for certain purposes. Please see Section 8 below for specific additional information by region/country.

If you wish to exercise your rights to your personal data under applicable law, you can submit a request to us by using this Data Subject Request Form.  We will respond to any requests in accordance with applicable law, and so there may be circumstances where we are not able to comply with your request.

We encourage you to contact us to update or correct your information if it changes or if the personal data we hold about you is inaccurate.

  1. JURISDICTION-SPECIFIC PRIVACY RIGHTS

NOTICE TO JOB APPLICANTS WHO ARE RESIDENTS OF CALIFORNIA (US)

  • A. Disclosures

The California Consumer Privacy Act of 2018 as amended by the California Privacy Rights Act of 2020 (“CCPA”) requires businesses subject to it that collect personal data of California residents to make certain disclosures regarding how they collect, use, and disclose such personal data. 

The categories of personal data and the sources from which we collect personal data are described in Section 1 above. We collect personal data identified in this privacy statement for the purposes set forth in Section 2 above and disclose it to third parties as outlined in Section 3 above.

If in the last 12 months you have applied for a job at Treasure Data or have expressed an interest in receiving news and details about future job opportunities at Treasure Data, we may have collected these categories of personal data from you, used and disclosed it as described in this privacy statement. 

We do not “sell” or “share” (as these terms are defined under the CCPA) your personal data and we have not done so in the last 12 months.

Some of the personal data about you listed in Section 1 above that we may collect and process are considered “sensitive” under the CCPA, namely: racial or ethnic origin and information concerning your health. We do not “sell” or “share” (as these terms are defined under the CCPA) such sensitive personal information. We only use and disclose it for the limited purposes permitted under CCPA and not for the purposes of inferring characteristics about a consumer.

  • B. Individual rights

The CCPA affords certain individual rights to California residents.  We describe these rights in this Section B. Our obligation to afford you these rights or provide notifications to you, however, are subject to any contrary laws, rules, or law enforcement demands.

Right of access

Upon request, we will tell you the categories and specific pieces of personal data we have collected about you in the previous 12 months. In addition, upon request, we will disclose to you:

  • The categories of personal data we have collected about you.
  • The categories of sources from which the personal data is collected.
  • The business purpose for collecting your personal data. 
  • The categories of third parties with whom we share your personal data. 
  • The specific pieces of personal data we have collected about you (subject to limits under applicable law).

If we do not provide you with access to certain personal data, we will give you specific reasons for refusing to do so and provide a contact point for further inquiries.

The identity of any person making an access request must be verified as a condition of providing the requested information. See Section E below for information about identity verification.

Right of deletion

You may request that we delete any of your personal data that we collected and is retained by us, subject to certain conditions and exceptions.  

If we do not delete your personal data following a deletion request, we will give you specific reasons for refusing to do so and provide a contact point for further inquiries.

The identity of any person making a deletion request must be verified as a condition of deleting the personal data as requested. See Section E below for information about identity verification.

Right of correction

Treasure Data will employ reasonable means to keep personal data described in this notice accurate, complete, up-to-date and reliable for its intended use. You may request that we correct or update any of your personal data that we collected and is retained by us that is inaccurate, subject to certain conditions and exceptions. We may have a legal right or obligation to preserve personal data as it currently exists.

If we do not update certain personal data, we will give you specific reasons for refusing to do so and provide a contact point for further inquiries.

The identity of any person making a correction request must be verified as a condition of deleting the personal data as requested. See Section E below for information about identity verification.

  • C. How to exercise your individual rights

If you wish to exercise your rights to your personal data under the CCPA, you can submit a request to us by using this Data Subject Request Form. You may also contact us via email at privacy@treasure-data.com.

We will respond to any requests in accordance with applicable law, and so there may be circumstances where we are not able to comply with your request.

  • D. Policy against discrimination

It is the policy of Treasure Data not to discriminate against California residents for exercising any of their rights under this notice or other applicable law.

  • E. Identity verification

Only you, or an authorized agent or conservator authorized to act on your behalf, may request to exercise individual rights related to your personal data.

Your request must provide sufficient information that allows us to reasonably verify you are the person about whom we collected personal data and is making a request (or, if applicable, your authorized representative is making the request).  Also, you or your representative must describe your request with sufficient detail that allows us to properly understand, evaluate, and respond to it. We cannot respond to or act upon your request if we cannot verify your identity or the identity and authority of an agent or conservator making the request.  We must also confirm the personal data in question relates to you.  

The information you provide us for identity verification will not be further disclosed, retained longer than needed for verification purposes, or used for unrelated purposes.

NOTICE TO JOB APPLICANTS WHO ARE RESIDENTS OF THE EUROPEAN ECONOMIC AREA, SWITZERLAND OR THE UNITED KINGDOM

  • A. Your rights.

If you are a resident of the European Economic Area (EEA), United Kingdom, or Switzerland, you have the following data protection rights: right to access, rectification, deletion, restriction of processing, data portability, right to object, and right not to be subject to automated individual decision making. Please note that these rights may be limited, for example if fulfilling your request would reveal personal data about another person, or if you ask us to delete information which we are required by law or have compelling legitimate interests to keep. You can exercise any of these data protection rights by completing our Data Subject Request Form.

If we collected and processed your personal data with your consent, you can withdraw your consent at any time by filling out our Data Subject Request Form. Withdrawing your consent will not affect the lawfulness of any processing we conducted prior to your withdrawal, nor will it affect processing of your personal data conducted in reliance on lawful processing grounds other than consent.

Where we process your personal data based on legitimate interests, you can object to this processing in certain circumstances. In such cases, we will cease processing your personal data unless we have compelling legitimate grounds to continue or where it is needed for legal reasons.

To submit a complaint to a data protection authority about our collection and use of your personal data, you can contact the data protection authority in your jurisdiction.

  • B. Legal basis for processing your personal data.

Our legal basis for collecting and using your personal data described above will depend on the personal data concerned and the context in which we collect it. In most cases the legal basis will be one or more of the following:

  • to comply with our contractual obligations to you or to take steps to enter into a contract with you;
  • to comply with our legal obligations;
  • for purposes connected to legal claims, for example for defending Treasure Data’s legal rights;
  • to pursue our legitimate interests, for example to conduct our recruitment processes efficiently and fairly or to manage applicants effectively;
  • with your consent, in specific circumstances. If we rely on your consent to process your personal data, you may withdraw your consent at any time by contacting us using the details at the end of this privacy statement.

When we are required by local law to collect certain personal data about you, your failure to provide this data may prevent or delay the fulfilment of our legal obligations and may impact our ability to employ you.

If you have questions about or need further information concerning the legal basis on which we collect and use your personal data, please contact us using the contact details provided in the “How to contact us” section below.

  • C. Data transfers.

Where personal data of applicants in the EEA, Switzerland, or the UK is being transferred to a recipient located in a country outside the EEA, Switzerland or the UK which has not been recognized as having an adequate level of data protection by the competent authority, we ensure that the transfer is governed by the European Commission’s standard contractual clauses or other contractual mechanism approved by the competent authority.

  1. How to contact us

If you have a privacy concern or question related to this privacy statement, please contact us via email at privacy@treasure-data.com

  1. Changes to this privacy statement

We may change this privacy statement from time to time. When we do, we will revise the “last updated” date at the top of it and post any changes to it on this webpage. Each version of this privacy statement is identified at the top of the page by its effective date. We encourage you to periodically review this privacy statement to learn how Treasure Data is protecting your personal data.

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How Customer Insights Offer Opportunity for Better Brand Engagement https://www.treasuredata.com/learn/customer-insights-opportunity-tda/ Thu, 14 Apr 2022 19:53:01 +0000 https://www.treasuredata.com/?page_id=436693 The post How Customer Insights Offer Opportunity for Better Brand Engagement appeared first on Treasure Data.

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How Customer Insights Offer Opportunity for Better Brand Engagement

Infinite information cannot guarantee marketing success or higher conversion rates. However, customer insights gleaned from such data offer brands the opportunity to take a more targeted approach in translating customer data into actionable steps that drive brand engagement and sales.

An Evolving Customer Journey

Today’s consumers enjoy longer, more complex, and more exciting customer journeys than ever before. McKinsey reports that omnichannel shopping is fast becoming the norm, with 60%-70% of consumers completing purchases both in stores and online. Social media has become the virtual Fifth Avenue of window shopping, augmented by real-world purchasing power.

These developments have revealed new avenues for meeting customers wherever they are in their journey rather than limiting conversions to a single point of sale. Customer Data Platforms (CDPs) like Treasure Data’s CDP help close the gap between brands and customers by providing businesses with customer insights and delivering incentives to shoppers for continued engagement. 

Customer Insights = Opportunity

Tracking thousands of customer actions across hundreds of touchpoints requires massive processing power, which also happens to be a competitive advantage of CDPs over legacy systems. In addition, CDPs also use AI and machine learning to spot trends and patterns in millions of data points. Lastly, for the pièce de résistance: CDPs activate customer insights to target consumers in precise but personal ways at the right channel and time. Below are five ways you can use a Customer Data Platform  to unlock the opportunity that customer insights present for increasing brand awareness and sales.

1. Create a Multi-Touch Attribution Model

A CDP acts like a powerful lens equipped with both wide-angle and ultra-zoom capabilities. It not only gives you a comprehensive view of the customer journey from start to finish but also provides granular detail for each touchpoint engagement. This enables brands to create a multi-touch attribution model that exceeds the accuracy of deterministic models (e.g., first-touch, last-touch, W-shaped attribution).

Treasure Data, in particular, has developed a one-of-a-kind multi-touch attribution (MTA) model that tells marketers which channels work best for certain audiences by using deep learning and Shapley values. The Shapley values model, based on a game theory concept by economist and Nobel laureate Lloyd Shapley, employs a unique method to calculate payouts in a cooperative game. It determines which players contribute the most to winning a shared goal and assigns them a corresponding Shapley value. In the same way, Treasure Data’s MTA model calculates a Shapley value for different channels and touchpoints in a brand’s marketing mix. This helps brands and marketers identify the strongest-performing channels and allocate their marketing budgets accordingly.

The dashboard below shows a sample marketing campaign and its channels. In this example, direct website traffic earns the highest Shapley value (30% attribution), as it contributes the most toward the probability that the customer journey will end in conversion. Email and paid search follow at 27% and 16%, respectively, while affiliate traffic carries the lowest Shapley value at 5%.

Treasure Data offers the only CDP that uses this type of advanced machine learning to create customized, multi-touch attribution models for unique customers and their journeys. Users can further determine which KPIs will measure attribution before analyzing customer data.

2. Identify Omnichannel Opportunities

A CDP not only provides visibility into the customer journey but also identifies omnichannel opportunities for engagement. Marketers can use CDPs to track point-to-point purchasing patterns and determine which channels…

  • Attract a lot of traffic but few high-prospect leads
  • Convert audiences into actual leads
  • Have a long-term impact on lead generation
  • Only perform well at the end stage of a campaign

Acting on these insights allows brands to set up smart marketing triggers. Based on trends and correlations that predict the most efficacious next steps for specific channels and audience segments, these triggers adapt to customer behavior as they move across channels. A CDP is particularly useful for delivering incentives to keep audiences engaged with the right message at the right time and place.

Watch Treasure Data’s CDP in action as it identifies omnichannel opportunity and delivers timely incentives to convert a lead into a loyal customer.

Treasure Data CDP Retail Demo

3. Explore Audience Segments

With greater visibility into the customer journey and new omnichannel opportunities, marketers can explore audience segments for more actionable insights.

A CDP helps brands uncover certain traits and behaviors in audiences that can be leveraged to drive engagement. For example, a sports energy drink brand may discover that its main audience segment shows interest in auto shows, racing, and boxing. The brand can act on this customer insight opportunity by sponsoring auto racing or boxing events to encourage brand awareness.

Treasure Data helps brands create customer insights opportunities with Audience Studio, an advanced enterprise audience segmentation tool. Audience Studio uses machine learning to identify behavior patterns and common traits through Predictive Scoring. Its user-friendly dashboard provides an immediate visualization of audience characteristics and enables marketers to activate specific segments to partner marketing systems.

With Audience Studio, you can:

  • Easily create audience segments with a user-friendly interface
  • Narrow segments based on customer attributes, behaviors, and characteristics
  • View data at Parent segment, targeted segment, or individual customer profile levels
  • Identify behavior patterns or common traits in Parent segments using Predictive Scoring
  • Create customer journeys to reflect accurately where buyers are in the funnel
  • Respond to market trends and modify Parent segments as necessary
  • Activate segments through personalized marketing campaigns

Case Study: Stripe International

“Kazuki Enomoto, Stripe International’s Director of the Digital Transformation Division, said, “Demand prediction and stock optimization prevented opportunity losses, maximized sales, and improved the bottom line. And another indirect benefit is that as their work efficiency increased, staff were able to spend more time attending to the customers, which contributed to better customer experience. We received positive feedback from the store staff.”

Read the full Stripe case study here.

4. Leverage Precise Targeting

A CDP’s capacity to process and analyze millions of customer profiles does not compromise its ability to target smaller segments with laser precision.

Unlike legacy systems, CDPs can differentiate between which customer profiles are:

  • Nearest to making a purchase decision
  • Most likely to purchase within a short time–within a few weeks
  • Not interested in an immediate purchase, just browsing around
  • Just window shopping or fantasizing about a purchase

Once it identifies where customers are in their journey, the CDP decides on the best plan of action by analyzing trigger points and comparing several past steps already taken. The platform then recommends the next best steps based on previous results to keep customers engaged.

CDPs can also identify those profiles most likely to churn and suggest proactive steps toward retention. In the same way, they can reward loyal customers at the right time to improve lifetime value. With precise targeting, CDPs help marketers stretch their budgets while also ensuring the right profiles receive the right incentives.

Treasure Data enables precise targeting of smaller groups within larger audience segments as well as individual profiles. Moreover, Treasure Data can automate the next steps you take to maximize customer insights opportunities. Target segments with email marketing systems, ad platforms, marketing automation systems, CRM, cloud services, ERP, and others. See how brands can reward loyal customers with a targeted email campaign orchestrated by Treasure Data’s CDP below:

Reward Loyal Customers using a Targeted Email Campaign

5. Extend Reach With Lookalike Audiences

A CDP opens up another customer insights opportunity by extending a brand’s reach through lookalike audiences. Lookalike marketing depends largely on existing customer profiles to identify similar audience segments to target. Using its customer data foundation, a CDP looks for commonalities within a brand’s existing audience and applies these trends to build a lookalike model of new prospects.

Treasure Data’s CDP helps brands and marketers find variables that are statistically proven to contribute to conversion. Specific audience behavior that indicates high conversion propensity occurs at low frequency and can be hard to find. But using machine learning, our platform parses thousands of customer attributes and selects audience behavior signaling a high propensity for conversion. Treasure Data then helps you coordinate the targeting of these potential profiles on online platforms.

Maruti Suzuki is one of the leading brands that employed Treasure Data’s lookalike modeling to drive sales. After unifying 87 million customer data profiles, Maruti Suzuki was able to extract customer insights to locate new prospects. The company enjoyed a 200% higher CTR on advertisements through lookalike modeling.

To read the full case study, click here.

Create Customer Insights Opportunity

Treasure Data helps you transform customer intelligence into tangible results through machine learning-powered insights, cross-channel personalization, tailored customer views, and enterprise-grade security and privacy. We help you target specific audience segments and even individual profiles with timely incentives that keep the conversation–and the conversions–going.

To learn how to create customer insights opportunity for your brand, consult an expert today. Want to learn more? Request a demo, call +1.866.899.5386, or contact us for more information.

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