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Meja ‑ Product Recommender logo

Meja ‑ Product Recommender

Develop by Meja

$29.9

/ Month
30 Days Free Trial

Assist Your Customers & Learn from Them

Personalized recommendations
Collect customer data
Create questionnaires
Enhance email marketing

About Meja ‑ Product Recommender

Launched Jan 31, 2022

Categories

Built by Meja

Zotasell: AI Upsell‑Cross Sell logo
(23 Reviews)
  • Sponsored

Add popups with coupons, timers, video and email capture...

Description

Meja is a questionnaire-based product recommender and a data collection tool for store owners.

Meja is a simple solution to add a fully customizable, questionnaire-based product recommender to your online store. By asking your customers a few simple questions you can recommend the ideal products for them. Your customers' answers are an opportunity for you to learn what they are looking for without having to make assumptions and at the same time to improve your zero-party data marketing.

Meja is a simple solution to add a fully customizable, questionnaire-based product recommender to your online store. By asking your customers a few simple questions you can recommend the ideal products for them. Your customers' answers are an opportunity for you to learn what they are looking for without having to make assumptions and at the same time to improve your zero-party data marketing. more
  • Create questionnaires to help your visitors to find the right products.
  • Collect data about your customers and visitors.
  • Use the collected data to enhance your E-Mail Marketing
  • Deliver personalized product recommendations directly on the recommendation page

Pros

  • Fully customizable questionnaire-based product recommender
  • Helps in recommending ideal products based on customer responses
  • Opportunity to learn customer preferences without assumptions
  • Improves zero-party data marketing
  • Collects valuable data about customers and visitors
  • Enhances email marketing through collected data
  • Delivers personalized product recommendations directly on the recommendation page

Cons

  • May require time and effort to set up and customize questionnaires
  • Effectiveness depends on customers' willingness to answer questions
  • Potential privacy concerns related to data collection
  • Performance may vary depending on the integration with different online store platforms

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