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Verfacto: Marketing analytics logo

Verfacto: Marketing analytics

Develop by Monetha Gmbh

$99-$659

/ Month
Free plan available

Customer analytics, real-time profiles, segmentation, RFM, LTV

Customer segmentation
Customer analytics
Rfm analysis
Real-time profiles
Ltv prediction

About Verfacto: Marketing analytics

Built by Monetha Gmbh

Email :

[email protected]

Address

Baarerstrasse 10, Zug, 6302, CH

Website Privacy policy
Zotabox: All in One Marketing logo
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Introduction Video

Description

Level-up your eCommerce marketing.

See what turns your visitors into customers and what are their behavioral patterns. Forget about boring graphs and useless reports. Act upon customer journeys details, not generalized website activity. Feed profiles data back to Klavyio, Facebook and Google for better targeting. Introduce advanced metrics like: attention score, recency, frequency, life-time value.

See what turns your visitors into customers and what are their behavioral patterns. Forget about boring graphs and useless reports. Act upon customer journeys details, not generalized website activity. Feed profiles data back to Klavyio, Facebook and Google for better targeting. Introduce advanced metrics like: attention score, recency, frequency, life-time value. more
  • Real-time customer profiler
  • Ecommerce analytics
  • Track all marketing activities

Pros

  • Customer analytics provide in-depth insights into customer behavior
  • Real-time profiles allow for timely and relevant data analysis
  • Segmentation helps tailor marketing strategies to specific customer groups
  • RFM (Recency, Frequency, Monetary) analysis for identifying valuable customers
  • Calculating LTV (Lifetime Value) aids in evaluating long-term customer potential

Cons

  • Limited integration options with other marketing tools
  • Potential data privacy concerns with handling sensitive customer information
  • Complexity in setting up and learning the app features
  • May not be suitable for very small businesses due to potential costs
  • A high volume of data may slow down real-time processing

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