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Industry: eCommerce

+49% average revenue increase over one-year period in eCommerce industry.

eCommerce is an ideal sector to leverage purchase pattern-based growth levers in a hyper-personalized strategy.

These are the average growth uplifts in the eCommerce industry.

Average increase in the following KPIs in eCommerce industry: Revenue increase, Ticket volume increase, Repeat purchase increase, Average lifetime value increase.

+

49

%

Revenue uplift

+49% in revenue volume.

The average revenue increase is calculated using the uplifts generated during the last 365 days thanks to a segmentation and personalization strategy.

+

41

%

Ticket uplift

+41% in ticket volume.

The average revenue increase is calculated using the uplifts generated during the last 365 days thanks to micro-segmentation and hyper-personalization.

+

17

%

Purchase repetition

+17% in purchase repetition.

The average purchase repetition increase is calculated using the uplifts generated during the last 365 days using hyper-personalization in eCommerce and CRM.

+

62

%

Traffic (Group A)

+62% in lifetime value.

The average medium customer lifetime value increase is calculated using the uplift generated during the last 365 days thanks to one-to-one personalization.

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%
+

57

%

Average revenue uplift.

+

53

%

Average ticket uplift.

+

25

%

Average conversion uplift.

+

85

%

Average lifetime value uplift.

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Act on customer data with one-to-one recommendation quickly and affordably from day one.

The Salesforce Marketing Cloud case is perfect. In fact, we integrate with most CRMs. Our goal is to enrich customer data with attributes, triggers, and one-to-one customizations. You won't need to change your technological stack.

It won't involve any additional work in your daily routine. Start using one-to-one recommendation blocks in real-time on your eCommerce or using dynamic templates in your email marketing campaigns. To start, you need to import customer data (if you want anonymous), product feed, stores and/or sales channels, and all tickets and ticket lines to Pleasepoint. With this data, you have everything you need to start segmenting and personalizing.

It's much faster than you think, within a week you'll be personalizing one-to-one interactions on your eCommerce and sending your newsletters with one-to-one recommendations. We recommend that you request a demo to show you the roadmap for one-to-one personalization with a practical case.

Pleasepoint complements your technology stack by connecting to your CRM, eCommerce and business dashboards.

Connect Pleasepoint with your systems to update data, enrich customers in the CRM, hyper-personalize interactions on eCommerce and view customer KPIs on your business dashboards.

30 days free trial to generate sales uplifts in eCommerce and CRM actions.

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Our eBooks on AI-driven Marketing

Introduction to One-to-One Marketing.

Download the free eBook Introduction to One-to-One Marketing, the perfect introduction to start hyper-personalizing your customers' experience with practical examples explained step by step.

Enriching Customer Data.

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Real-Time Hyper-Personalization.

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Success Cases of Predictive Marketing.

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