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Success Case: one-to-one CRM

Manual product selection VS one-to-one recommendation

A/B test results of 4 weeks, where 50% of the audience receives a manual selection of products and 50% receives a highly personalized recommendation for each customer.

Success case of one-to-one product recommendations in newsletters and CRM campaigns.

The test compares the performance of one-to-one product recommendation blocks in newsletters sent. The results have been measured using Salesforce Marketing Cloud (CRM).

50

%

Control group

50

%

Audience 1-2-1

50% of the audience for each group.

Both audiences were generated using CLV segments. 50% (GC) receives a manual selection of products and the other 50% a one-to-one recommendation.

18

k

Clicks (Group A)

23

k

Clicks (Group B)

+26% clicks in newsletters.

Group B (receives one-to-one product recommendations) generates more clicks than the group with a manual selection of products.

196

Orders (Group A)

244

Orders (Group B)

+24% increase in orders.

Group B (receives one-to-one product recommendations) significantly increases conversion compared to the group with manual selection.

9

k€

Revenue (Group A)

14

k€

Revenue (Group B)

+49% increase in revenue.

Group B (receives one-to-one product recommendations) significantly increases revenue generated compared to the group with manual selection.

Calculate potential revenue increase using Pleasepoint.

Enter the number of sessions, average ticket, and conversion rate for the last 30 days to know the revenue uplift you would have made with Pleasepoint.

1. Write the number of sessions from last month:

0

2. Write the average ticket from last month:

0,00

3. Write the conversion rate from last month:

0,00%

Amazon Web Services (AWS) Software Partners (ISV).

We are ISV (Independent Software Vendor) partners of Amazon Web Services (AWS) and have been selected for the ISV-Accelerate program.

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With Pleasepoint's platform, you can deploy artificial intelligence in your company with simple, fast, and cost-effective solutions without changing the tools you already use.

"With Pleasepoint, we have moved from the traditional campaign management model to a more dynamic, segmented, and enriched customer model, personalizing CRM campaigns and improving the conversion of our e-commerce channel customers."

Josep Jarque
Digital Project Manager & IT Architect

"The implementation of one-to-one personalization has allowed us to generate much more interesting content for users, as well as foster loyalty, improve the shopping experience, and generate additional sales through personalized recommendations."

Jose Antonio Linde
COO of Condisline

Our clients vouch for us.