Reco

This module is about collecting and analyzing consumer data from different sources of data. Build-in AI-core gives you smart predictions and recommendations for each customer, based on data. It allows you to enhance your personalized interaction with customers.

30%

20%

×2 Faster

Increase your average ticket by

Increase your purchase frequency in

Inflow of new customers up to

Megainsight Reco include

Data Warehouse

Promo engine

AI Personalization engine

This block is about collecting and analyzing customers data at certain intervals. We take the information from your CRM and make it easier to explore and manage. Whether you are a marketer, analyst or a product manager we help you to understand the data by structuring and visualizing. The data is being normalized and deduplicated as well at this block. This is the point where any marketing campaign starts.

This block of Megainsight platform helps you to plan promo campaigns. You need to name the campain, to add a period and choose mechanics. There are several promo mechanics you can leverage: discounts, referrals, bundlings and loyalty rewards. Choose channels and start the campaign, track the process at your private account and analyse visualized results.

This block helps you to think far and widely when planning campaigns with the help of our AI engine. Machine learning (ML) inserted into AI engine gives you smart predictions and recommendations, based on customers data to enhance your vision and empower to make quick decisions.

How it works

Aggregate data

AI-core "Reco" on the go

Report

Create a 360-degrees profile

Aggregate data from your loyalty program, mobile app, website, CRM and other sources.

AI will tell you what promo campaign suits to what clients' group to reach maximum conversion and automatically contoll each promo campaign and retrain the system.

Build personalized communication strategy with each customer segment and measure the marketing strategy performance.

Create a 360-degrees profile for each customer and forcast which customers are price-dependent and which are not.