Treasuredata: See Their Revenue, Competitors, Traffic, and Reviews (May 2024)

Review (May 2024)

See how our enterprise customer data platforms unify marketing data from multiple sources to improve targeting, segmentation and personalization, differently than other cdp vendors.

80M

Estimated Revenue

240.24k

Website Visitors

4/5

Trustpilot Score

What do we know about Treasure Data?

Estimated Revenue (2020)

$80M

Total Funding

$54.05M

Total Employees

400 Founded

2011

Industry

Computer Software

Last Funding Date

Series C Nov 2016

Location

Mountain View, United States

About

Treasure Data: See how our Enterprise Customer Data Platforms unify marketing data from multiple sources to improve targeting, segmentation and personalization, differently than other CDP vendors.

Social Links

Alexa Ranking: 127868

What is Treasure Data's Revenue?

Treasure Data's estimated revenue for 2023 is $80M.

What does Treasure Data do?

Global leader in Customer Data Platforms (CDP) and enterprise data management. Providing the ability to aggregate and translate massive volumes of scattered and siloed data. Acquired by Arm. Global leader in Enterprise data management, providing the ability to aggregate and translate massive volumes of scattered and siloed data. Founded in 2011 in Mountain View, California, with offices in Japan and Korea.

What are the monthly traffic metrics for Treasuredata?

6/mo Traffic Growth

24.60%

All Time Traffic Growth

Create Free Account

Monthly Hits

240k

Time on Site

4.0Mins

Bounce Rate

53%

How fast is Treasuredata growing?

Treasuredata has grown by -21.9% in the last 6 months according to SimilarWeb.

How do people interact with Treasuredata?

Last month, Treasuredata received 240k visitors who spent an average of 4.0 minutes on the website and visited 4.0 different pages per session. Overall, 53% of people bounce on the first visit.

How do people find Treasuredata?

131.5k people (55%) visit Treasuredata directly. 94k (39%) people search for them in Google. Whereas, 4k (2%) discover Treasuredata through Facebook, Reddit, and YouTube. 3.2k (1%) visitors come from Treasuredata's email newsletters. Finally, 353.1 (0.1%) people come from affiliates and or paid referrals.

Who uses Treasuredata?

Treasuredata's top market is the Japan and they receive 72.1k (30.0%) people.
Then the 2nd is United States with 46.1k (19.2%).
The 3rd is is India with 18.3k (7.6%).

Traffic Growth (last 6 months)

All Traffic Source

Country Share

Traffic Growth (last 12 months)

See 12/mo Traffic Stats

What are Treasuredata's ads on Google?

Google Ads

Customer Data Platform | Get a 360° Customer Profile‎

https://www.treasuredata.com/learn/customer-data-platform/

Get Real-Time Segmentation, Personalization, & Campaign Optimization. Learn How. DMSA Gartner MQ Report · For CIOs and CMOs · Unify your customer data

Data Management Platform: DMP | Real-Time Data For Marketers‎

https://www.treasuredata.com/resources/total-data-management-treasure-data-dmp/

Fill in the gaps left by DMPs and get a unified, 360°view of your users, in real time. Learn how to get more powerful user segmentation and better marketing ROI using a CDP! Connect all user data. Marketing analytics. Customer Data Platform. Unify your cu

Next-Gen Omnichannel Retailing | Download the Research Report‎

https://www.treasuredata.com/resources/retail-touchpoints-research-report-winning-at-omnichannel-retail/

Explore strategies for boosting retail revenues, customer engagement and lifetime value.

Build a Data Pipeline Fast - Easily Integrate Data at Scale‎

https://www.treasuredata.com/data-pipelines/

Treasure Data enables you to integrate easily and enrich your data at scale. Analyze Big Data · Cloud-Based · Reliable Data Transfer · Data Storage

Keyword: data pipeline

A Forbes CMO Practice Report | For Marketing Effectiveness‎

https://www.treasuredata.com/resources/a-forbes-cmo-practice-report-for-marketing-effectiveness/

Best practices to track and measure key performance indicators in marketing programs. Learn ways to reduce the cost and complexity of marketing mix and attribution models. Data-Driven Marketing.

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