What Product Recommendation algorithms are there?

Bunting offers many algorithms which can be applied to Product Recommendations, with each having certain levels of suitability for different pages of your eCommerce website.

The following list details the algorithms and the uses for them:

  • Adaptive – These are the default setting for recommendations from Bunting using a machine learning algorithm to detect what the best recommendations are given in the context of the page.
  • Recently Viewed by Visitors
  • Most Popular – Last 24 Hours
  • Most Popular – Last 7 Days
  • Most PopularLast 30 Days
  • Popular Alternatives – This is most often used on Product Pages. It takes into consideration what customers view, add to cart and buy after viewing the specified product.
  • Cross Selling – Commonly shown on both Cart/Checkout pages and Product pages. This takes into consideration what other customers buy from these pages.
  • Repeat Custom – This will determine what customers usually buy, based on what their last purchase was. The context for this is the order complete page, this is done cumulatively.

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Creating Lightboxes

Lightboxes pose a way to present additional information to your users after a certain event or trigger.

In the context of Bunting, good uses for these tools are to create brand awareness (such as promoting a featured item specifically), reiterating unique selling points (such as the number of 5 star reviews), gaining feedback via forms, and encouraging sales via promotions.

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Can I still use Google Analytics if I install Bunting?

Can I still use Google Analytics if I install Bunting?

Yes, of course! In fact, the first stage of the Measure Impact step is an option to turn on Google Analytics Event Tracking.

Many of our clients still have Google Analytics and use it alongside Bunting. This allows them to make a more informed decision on just how much ROI Bunting is providing.

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How to filter recommendations by Brand?

How to filter recommendations by Brand?

This can be implemented on variations in a recommendations content campaign in the Recommendations Settings. Here if you navigate to Content of Recommendations then Filters there is a Brand Filters drop-down. From here there are 2 options. Only show products from the following brands: or Hide products from the following brands:. Once an option has been selected there is functionality to add specific brands or only show the brand of product being viewed.

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Designing captivating lightbox content

Good content is the foundation of the web, and this should also be applicable to your lightbox content.

We would recommend using the following lightbox guidelines:

  • Size of no larger than 900x450px.
  • Font Size of at least 16px.
  • Clear contrasting colours, especially where the close button is concerned, and any other calls-to-action.
  • Use either PNG or JPG for any background images.

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Server Side A/B Split Testing with Bunting

Server-side split testing with Bunting is quick and easy to set up with this guide. However, before we continue, it is important to define what a server side split test is in Bunting, and how it differs from a client side split test.

Definitions

Server side: Content is delivered from your servers before page load, not from Bunting after page load. Your server must define who to show content to, and informs Bunting via Javascript which variation/control group each visitor is in.

Client side: Content is delivered from Bunting’s servers via Javascript. Bunting handles the visitor targeting, and manages the distribution of visitors across each of the different variation/control groups for you.

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Information about the GDPR for Bunting Customers

This document details how Bunting complies with the GDPR, and is intended to help our users become GDPR compliant when using Bunting. Nothing in this document should be treated as legal advice, and we strongly recommend our users seek legal advice as part of their GDPR preparations.

Bunting has been preparing for GDPR since early 2017. We have had a full data protection audit, working with data protection lawyers to ensure total compliance. Our processes and our software have been updated to meet GDPR requirements since mid 2017, well before the deadline.

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How to update your email database in Bunting with customer consent (GDPR compliance)

It is now necessary to obtain consent from your customers in the EU in order to send email marketing communications, including abandoned cart emails. This ​must​ be an affirmative opt-in (not a pre-ticked box).

Before you can use Bunting’s email tools, Bunting must know that consent has been given from each recipient. By default, Bunting sets all visitor’s email subscription statuses as being opted out (‘optout’).

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‘Bunting’ Terms of Service

This agreement (the “Agreement”) is a legal agreement between the Customer and Bunting Software Ltd (a company registered in England and Wales with company number 08712116) whose registered office is The Media Centre, 07 Northumberland Street, Huddersfield, West Yorkshire, England, HD1 1RL (“Bunting”).

Bunting permits use of the Software Services and Documentation by the Customer on the basis of this Agreement. By checking the box confirming the Customer’s acceptance of this Agreement, the Customer agrees to be bound by the terms of this Agreement.

Bunting and the Customer now agree as follows:

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