Gemeinsam häufig gekauft

Gemeinsam häufig gekauft 2.4.1

Keine Berechtigung zum Herunterladen
Beigetreten
Okt. 14, 2021
Nachrichten
6,603
Reaktionswert
2,073
Credits
$13,413
danke dem freundlichen Mitglied @worksubmitted einen neuen Ressourcen:Frequently bought together-Mehr Verkauf durch "Frequentemente mit folgendem Produkt auch gekauft" hinzufügen
Anhang 83664 einsehen
Mehr Verkauf durch die hinzufügende von Amazon ähnliche "häufig zusammen mit" intelligente Produktempfehlungen zu Ihrem Store mit nur einem Klick.

Description
Erhalten Sie intelligente Empfehlungen. Wie funktioniert es?
Der Modul analysiert in der Datenbank Ihrer eigenen Store vorherige Bestellungen mit einer Datamining-Algorithmen, bietet Ihren Kunden die am häufigsten gekauften Produkte im Form von Produkt-Bündeln zusammen mit dem aktuellen Produkt an. Der Kunde kann alle Produkte einfach...
Read more about this resource...
 
thanks to dear member @anne51 updated Frequently bought together with a new update entry:

10/19/2024

  • This version includes new features, as well as significant performance improvements. We strongly recommend updating to this version.
  • 1. It is now possible to exclude products by selecting categories, allowing the algorithm to take them into account when generating automatic recommendations.
  • 2. You can now choose how product combinations are displayed: with a prior notice that requires clicking or always showing them automatically.
  • 3. The process for excluding specific...

Read the rest of this update entry...
 
thanks to dear member @work updated Frequently bought together with a new update entry:

12/10/2024

1. Display Recommendations in Cart Summary: You can now choose from three different positions to display product recommendations in the cart summary, improving visibility and enhancing the customer shopping experience.
Recommendations will be generated based on the last product added to the cart, as long as not all suggested products are already included.
This new option is quick and simple. It only uses recommendations already configured by you or generated by the algorithm, without...

Read the rest of this update entry...
 
thanks to dear member @theresa updated Frequently bought together with a new update entry:

3/10/2025

  • 1. New recommendation positions in your shop: Now you can display recommendations in more strategic locations to enhance visibility and improve the customer shopping experience.
  • Checkout page: Choose from 3 new positions.
  • Add-to-cart modal window: Now with 5 different placement options.
  • With so many choices, we’ve grouped all position settings into a new section in the module configuration. Plus, we’ve improved the interface to make selecting where to display...

Read the rest of this update entry...
 
Big thanks to member @netman updated Frequently bought together 2.4.0 with a new update entry:
6/13/2025
New Statistics section
Analyze the performance of your recommendations in detail:
Visualize the evolution of bundles added to the cart, orders, products sold, sales, and conversion rates.
Compare results by recommendation type or discount type.
Check the Top 10 bundles based on various criteria.
Filter by dates and compare periods to identify trends.
Track recommendation effectiveness at order level:
Order details in the BackOffice now indicate which products were...
Read the rest of this update entry...
 
A new update for Frequently bought together 2.4.1 is now available for free download. Big thanks to the contribution from our member @hargrave !
7/5/2025
Compatibility with PrestaShop 9 : The module has been updated to ensure full compatibility with PrestaShop 9, including style adjustments for better display in the latest versions of the platform.
New Statistics section
Analyze the performance of your recommendations in detail:
Visualize the evolution of bundles added to the cart, orders, products sold, sales, and conversion rates.
Compare results by recommendation type or discount type.
Check the Top 10 bundles based on...
Read the rest of this update entry...
 
A big thank you at least 30 characters long.
 
Oben