Ecommerce Archives - ByRATINGS https://byratings.com/success-case-sector/ecommerce/ Predicting Marketing for Success Tue, 07 Feb 2023 15:10:07 +0000 en-US hourly 1 https://wordpress.org/?v=6.2.2 https://byratings.com/wp-content/uploads/2021/05/cropped-touch-32x32.png Ecommerce Archives - ByRATINGS https://byratings.com/success-case-sector/ecommerce/ 32 32 How Domestika identifies customers who will buy more https://byratings.com/success-case/how-domestika-identifies-customers-who-will-buy-more/ Wed, 09 Jun 2021 14:17:20 +0000 https://byratings.com/?post_type=lr_success_case&p=2413

Increasing user recurrence and CLV (Customer lifetime value)

The use of artificial intelligence in customer loyalty and retention campaigns

Client

Online training courses

Sector

Ecommerce

Products

Customer Ratings

Profiling

Audience Ratings

Download PDF

Results at a glance

30%

Campaign-specific conversion rate increase

6x

The Rating A user segment has 6 times the average revenue

70%

35% of users represent 70% of total revenue

The customer's need

Domestika is an ecommerce with an international presence, the most important Spanish-speaking in the world. With a community of over 1M users, they use our AI solutions to improve recurrence and increase CLV.

In order to improve the success of loyalty campaigns, we propose 3 challenges:

  • Predict the future revenue of a user.
  • Consider 3 different time periods: 1 month, 1 year, 3 years.
  • Identify the most attractive products for each user

Our objective

1.

Segment

Classify users based on their value to the company.

2.

Adapt

Adapt differentiated marketing strategies for each segment.

3.

Analyse

Analyse the evolution of each user and each segment over time.

4.

Anticipate

Anticipate the loss of customers and users to reduce the Churn rate.

cropped-touch

The data of our success

Development of predictive recommendation models and user value 

Two algorithms were developed to meet the client's needs:

  • Development of a predictive model based on variables of socio-demographic profile and transactional profile (previous purchases) that predicts the future revenue of each user.
  • Mixed recommendation model that allows recommendations to be generated both for new users without a purchase history and for users with a purchase history.

Applicability of the models

Based on the prediction of each user, users are segmented by value and rated from higher value (A) to lower value (G). At the same time, the 10 most attractive products for each user are predicted.
This information is used by Domestika to act in different areas:

  • Campaigns segmented by user value and product recommendation to increase recurrence of purchase.
  • Strategic knowledge of the value of the entire user community and its seasonal variation to reduce the churn rate.

Results of the project

The tuning and performance of the algorithms was excellent and brought great results to Domestika:

  • 30% increase in conversion in segmented campaigns.
  • Groups of users with conversions up to 6 times greater than average were detected.
  • 70% of revenue was achieved with just 35% of the user base

Download the success story

Fill in the form and get the complete success story with more information about the process, the application and the results. Share it with the whole team!

"We can always count on Lead Ratings to help us face complex problems and find valuable solutions."
DOMESTIKA
Gus Abad
Head of Growth
]]> Promofarma https://byratings.com/success-case/promofarma/ Tue, 08 Jun 2021 10:06:08 +0000 https://byratings.com/?post_type=lr_success_case&p=2283

Título de caso de éxito

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Cliente

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Cliente

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Cliente

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Download PDF

Resultados de un vistazo

+40

De la Tasa de Matriculación del centro formativo

-21

De los costes de adquisición del cliente (CAC)

25%

De aumento del ROI en las campañas de matriculación

La necesidad del cliente

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Los datos de nuestro éxito

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John Doe
Designer

Descarga el caso del éxito en tu dispositivo

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Rellena los datos para obtener el PDF

]]> How to recommend the most suitable products to each customer https://byratings.com/success-case/how-to-recommend-the-most-suitable-products-to-each-customer/ Tue, 08 Jun 2021 09:56:21 +0000 https://byratings.com/?post_type=lr_success_case&p=2275

Título de caso de éxito

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Cliente

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Cliente

Lorem ipsum dolor sit amet

Cliente

Lorem ipsum dolor sit amet

Download PDF

Resultados de un vistazo

+40

De la Tasa de Matriculación del centro formativo

-21

De los costes de adquisición del cliente (CAC)

25%

De aumento del ROI en las campañas de matriculación

La necesidad del cliente

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Segmentar
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Segmentar
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Los datos de nuestro éxito

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John Doe
Designer

Descarga el caso del éxito en tu dispositivo

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]]> Casa Ametller https://byratings.com/success-case/casa-ametller/ Tue, 08 Jun 2021 09:53:47 +0000 https://byratings.com/?post_type=lr_success_case&p=2271

Título de caso de éxito

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Cliente

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Cliente

Lorem ipsum dolor sit amet

Cliente

Lorem ipsum dolor sit amet

Download PDF

Resultados de un vistazo

+40

De la Tasa de Matriculación del centro formativo

-21

De los costes de adquisición del cliente (CAC)

25%

De aumento del ROI en las campañas de matriculación

La necesidad del cliente

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1.

Segmentar
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Adaptar
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Segmentar
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4.

Adaptar
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Los datos de nuestro éxito

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John Doe
Designer

Descarga el caso del éxito en tu dispositivo

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam nec metus at nunc porta laoreet quis id massa. Aliquam eleifend, quam sit amet faucibus placerat, quam justo vestibulum tellus, sed semper tellus diam vel magna.

Rellena los datos para obtener el PDF

]]> Cruilla https://byratings.com/success-case/cruilla/ Tue, 08 Jun 2021 08:10:16 +0000 https://byratings.com/?post_type=lr_success_case&p=2211

Título de caso de éxito

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Cliente

Lorem ipsum dolor sit amet

Cliente

Lorem ipsum dolor sit amet

Cliente

Lorem ipsum dolor sit amet

Download PDF

Resultados de un vistazo

+40

De la Tasa de Matriculación del centro formativo

-21

De los costes de adquisición del cliente (CAC)

25%

De aumento del ROI en las campañas de matriculación

La necesidad del cliente

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  • Línea 1
  • Línea 2
  • Línea 3

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1.

Segmentar
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2.

Adaptar
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3.

Segmentar
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4.

Adaptar
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5847f9cbcef1014c0b5e48c8

Los datos de nuestro éxito

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John Doe
Designer

Descarga el caso del éxito en tu dispositivo

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nullam nec metus at nunc porta laoreet quis id massa. Aliquam eleifend, quam sit amet faucibus placerat, quam justo vestibulum tellus, sed semper tellus diam vel magna.

Rellena los datos para obtener el PDF

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