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Treasure Data

Score9 out of 10

149 Reviews and Ratings

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What is Treasure Data?

Treasure Data is an enterprise customer data platform (CDP) that reclaims customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements.

Categories & Use Cases

Media

Screenshot of Out of the box integrations across advertising, CRM, databases, eCommerce, machine learning and more.
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Screenshot of Out of the box integrations across advertising, CRM, databases, eCommerce, machine learning and more.

Reviews

What users are saying about Treasure Data.
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Treasure Data is a Powerful Data-Driven, Technical Customer Data Platform

Incentivized
Dan DrazbaView profile
Director, Strategic Services in Customer Service at Leverage Lab (11-50 employees employees)

Use Cases and Deployment Scope

Treasure Data is used as a powerful data warehouse with an attached Customer Data Platform built on top of it. Treasure Data's data processing capabilities allow it to capture billions of rows of data at scale and process it in an efficient manner, allowing it to be a true source of record for all of your customer data. Treasure Data includes powerful technology to support robust data pipelines for technical teams, and an entire suite of integrations for marketing web personalization and audience communication activations across social advertising and direct marketing platforms.

Pros

  • Data Processing/Ingestion
  • Data Integrations
  • Data Flexibility

Cons

  • Learning curve with technology
  • Technical Implementation Process
  • End- User Friendliness

Return on Investment

  • Unification of customer data in one location
  • Full activation and customization of customer data
  • Ability to activate on multiple marketing channels from customer data
  • Higher ROI on ad campaigns

Treasure Data will let you fully, and EASILY, understand your data.

Incentivized
Mark ChilesView profile
Chief Digital Officer/SVP, Digital in Corporate at BPA Worldwide (51-200 employees employees)

Pros

  • Treasure Data is very flexible for ingesting different data sets.
  • The native integrations that they have built are among the majority of the systems that we have, therefore creating a data lake was relatively simple.
  • The product team at Treasure Data was able to build a new connector, as a partner to us as a client, for managing our event attendees and revenue impact.

Cons

  • One of the issues that we faced, when onboarding, was the lack of understanding around what we were trying to accomplish as a company, and not being made aware of some of the functionality in Treasure Data.
  • The documentation doesn't always have all of the steps, from a layman's perspective, to be able to set up more intricate custom connections.
  • We had an issue, specific to our needs, where the Doubleclick For Publishers (DFP) API connection wouldn't use a dynamic date range for data ingestion, therefore we have to change the date query each month, on the last day of the month, to pull in the latest digital advertiser information.

Return on Investment

  • Treasure Data has provided an immediate positive impact on seeing the details of the business, without having to aggregate multiple spreadsheets and use pivot tables.
  • Treasure Data has helped to provide a positive predictive model for potential customers to upgrade their spending with the company, providing an immediate list of prospective leads to provide to the sales team.
  • Treasure Data has now allowed us to define our LTV and 360-degree view of our customers, where we struggled with this before.

Alternatives Considered

Looker and Stitch

Other Software Used

Google Analytics, Parse.ly, Tableau Online

Treasure data accelerates Omnichannel Journey

Sachin HirayView profile
VP - Insights & Data in Information Technology at Capgemini (10,001+ employees employees)

Use Cases and Deployment Scope

We have been implementing Treasure data at leading life science customers for more than 2 years. The platform has accelerated the Omnichannel journey and is a strategic lever for the next best action. Treasure data has the flexibility to integrate multiple sources including Web, CRM, email activities, event information, and 3rd party sources. It provides scalability to bring your own models to run on the platform.

Pros

  • Profile enrichment
  • Read to use integrators
  • Ease of use
  • Scalability

Cons

  • Reporting

Return on Investment

  • Treasure Data accelerate unified view development for customers.
  • Dynamic rules based segmentation through user friendly interface for Marketers.
  • Real-time personalization abilities allow us to engage with our customers.

Alternatives Considered

Tealium AudienceStream

Integrated Customer Data for Triggered Target Audiences

Incentivized
Paul Ernst
SVP, Martech Integration in Professional Services at Allant Group (51-200 employees employees)

Use Cases and Deployment Scope

Treasure Data is being used to create a unified customer view across first-party customer data, CRM data, e-commerce orders, web visitors, mobile app users, ad impressions, email activity, SMS activity, and social activity that is the basis for higher-performing targeted audiences and activations.

Pros

  • Catalog of existing integrations.
  • End-user friendly segment definitions and queries.
  • Predictive and cluster models.
  • High up-time and operations response times.

Cons

  • Unified customer reporting view.
  • Log details and operations debugging.

Return on Investment

  • We had 111% increase in response rate on targeted emails.
  • We got a 3x click-through rate increase.
  • Increased addressability of consolidated customer file by 40%.

Alternatives Considered

Tealium AudienceStream and Salesforce Marketing Cloud Interaction Studio (formerly Evergage + MyBuys)

Other Software Used

Salesforce Marketing Cloud Email Studio, Klaviyo, Facebook for Business, Google Ads (formerly AdWords), SellerCloud

Treasure Data will help us to grow all our revenue streams

Incentivized
Matthew KnappView profile
Director, Data in Engineering at Penske Media (1001-5000 employees employees)

Use Cases and Deployment Scope

Across the whole organization. Solves the problem of not having a central source of truth about all aspects of a customer and their journey across our digital and offline properties.

Pros

  • Data aggregation.
  • Profile enrichment.
  • Data processing time.

Cons

  • Implementation.
  • Onboarding.
  • Customer support.

Return on Investment

  • Less reliant on third party data providers.
  • Single source of truth for user counts.
  • A secure environment for sensitive user data.

Alternatives Considered

BlueConic, Twilio Segment and Microsoft Dynamics 365 (formerly Microsoft Dynamics CRM)

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