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WebTrends vs Zylotech Customer Analytics Platform comparison

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Ranking
10th
out of 17 in Customer Data Analysis
Views
22
Comparisons
22
Reviews
0
Average Words per Review
0
Rating
N/A
7th
out of 17 in Customer Data Analysis
Views
43
Comparisons
33
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
DataXylo
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WebTrends
Zylotech
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Overview
Delivers insight into web visitor activity, allowing organizations to acquire, convert & retain more customers.

Headquartered in Cambridge, MA, Zylotech is an artificial intelligence powered customer data & analytics platform spun out of MIT in 2014. Zylotech’s AutoML platform solves data variety and quality challenges to create a unified and enriched customer database using all available data sources. The platform continuously unifies data and performs ongoing analysis such as micro-segmentation, product recommendations, cross-sell/up-sell opportunities and retention/churn risk scoring. The platform integrates with a variety of marketing clouds to enable deeper customer insights. Zylotech’s clients include Retail, High Tech, and Financial firms, who have reported up to a 6x increase in customer lift.

Sample Customers
Microsoft, The Telegraph, Polaris, PenFed, Met Office, Kimberly-Clark, Europcar, Shoplocal, Cracka Wines, Otto Group, redspottedhanky.com, Legal Brand Marketing, BrightStarr, World Vision, T-Mobile, PetEdge, KLM
Lowes Foods, Cisco, Google, Palo Alto Networks, Dell

WebTrends is ranked 10th in Customer Data Analysis while Zylotech Customer Analytics Platform is ranked 7th in Customer Data Analysis. WebTrends is rated 0.0, while Zylotech Customer Analytics Platform is rated 0.0. On the other hand, WebTrends is most compared with Adobe Analytics, whereas Zylotech Customer Analytics Platform is most compared with .

See our list of best Customer Data Analysis vendors.

We monitor all Customer Data Analysis reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.