Recommendation & Personalization
HomeRecommendation & Personalization

Segment & recommend engaging your audiences

Use behavioral data to personalize your communications with recommendations and optimize experiences
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Recommendation & Personalization
Leverage transactional and behavioral data

Segment your audience

Leverage all your customer data to create audiences and score (RFM, PMG, etc.), and customize your campaigns by recommending the right products
Dynamic segmentation

Dynamic segmentation

Create segments and audiences as you collect data.
Scoring (RFM, PMG…)

Scoring (RFM, PMG…)

Identify business opportunities based on customer scores and optimize your ROI.
Enriched data

Enriched data

Complete your customer profiles with key indicators such as average cart, Customer Lifetime Value, etc.

Dynamic Recommendation

Improve the customer experience and increase sales effectiveness by tailoring your communication and recommendations to each customer.
Leverage customer knowledge

Leverage customer knowledge

Use declarative, behavioral and transactional data to enhance your customization and recommendation strategies.
Relevant recommendations

Relevant recommendations

Personalize different areas of your messages with calculated values, dynamic content, personalization scripts or external content
Involve your customers

Involve your customers

Suggest relevant content based on your audience’s preferences and consents.

AB-testing to boost your performance

AB-test your audiences, your content, your recommendations or the choice of channels to build experiences that convert and engage your prospects and customers.
Test different elements

Test different elements

Build A/B or multivariate testings in a few clicks by using a drag&drop interface
Experiment different customer journeys

Experiment different customer journeys

AB-test complete marketing devices, including multi-channel and multi-step customer journeys
Analyze the results

Analyze the results

Perform more precise analyses by increasing the number of performance indicators and using test-groups or control populations
Client review

Trusted by our clients

Doreen Schmidt

Doreen Schmidt

Customer Experience Manager – American Vintage (Retail)
Scal-e can customize everything depending on your needs and adapts perfectly to your business environment! The initial set-up stage was as professional as today’s daily support.
37%

is the average opening rate observed over the last 3 months for more than 9 million mailings

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Lison Varay

Lison Varay

Digital & Relationship Marketing Manager – ADN (entertainement)
Managing our customer data has never been easier! Everything is organized, in one place and sending marketing campaigns is a breeze with Scal-e.
+2 M

of contacts solicited via Scal-e around the 430 animated items proposed on ADN