Setting up Category Specific Recommendations for Specific Pages

First, go into the Inactive Campaigns section within Bunting and create a new set of Product Recommendations by going to Create New Campaign. Then, select From Scratch which will take you to the visitor targeting step.

From here you can target a specific URL, for example, a specific promotion you are running on a type of product.

This can be done by opening up the visitor targeting and selecting current URL. Then you can paste the URL.

Ensure that the rule for this is set to Equal To. In addition to this, you can add any other visitor targeting metrics to this.

Once this has been done, select On To Next Step button on the right-hand side under your targeting rules.

For adding the product recommendations, using Bunting’s built-in templates you can select Product Recommendations. You’ll then get sent to Bunting’s visual editor and will be prompted to place them within the page.

Click the navigation prompt at the top to change the page displayed, “Click here to change web address in editor” and enter your URL and the visual editor will load that page.

You are now ready to place the recommendations.

In this instance, we will choose to place the recommendations below the campaign information but the position they are placed on the page is entirely up to you. Ideally, they should be placed as high up the fold of the page as possible.

Now they have been inserted, click on the Settings cog on the top right-hand corner of the visual editor and select Settings for Recommendations. From here, as well as being able to style your recommendations, you can filter what recommendations are shown.

To do this, Go to Content of Recommendations then Filters. From here you can filter the products shown in the recommendations by Category.

You can search through this list and add as many or as few categories to the filter as you require.

This guide can easily be applied to display recommendations of products of the same category of the page being viewed. This is great for scenarios where you have a large catalog of products and want to show the user alternatives to the product they are viewing.
All you have to do is change the URL visitor targeting rule to be Is Viewing a Product page and on the filters section, change it to use our special filtering rule of Category of the product / category page being viewed.

This could easily be transferred to other scenarios that require filtering of product recommendations for specific pages. That is all you need to show category-specific recommendations on specific URLs to help your campaigns.

By: Andy Alban 13th November 2018

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Feature List

Features List 🔥

Bunting contains a variety of features, many of which you can find detailed on the main Bunting website. A more exhaustive list can be seen below. Last updated: 26/7/2018

Content Creation Tools 

  • Product Recommendations Intelligent, data-driven product recommendations, which appear seamlessly as part of your website’s content. Drag-and-drop integration makes plugging them in a one-minute task.
  • Lightbox A popup you show to visitors containing information. Useful for preventing shopper exits, welcoming visitors to your site, and making important prompts. Your website is normally darkened in the background when a lightbox is being displayed.
  • Message Box A box that appears at one corner of visitors’ screens, containing text or images. Less obtrusive than a lightbox. Great for offering special offers, reassuring visitors, or prompting an action.
  • Message Bar A horizontal bar that appears a the top or bottom of visitors’ screens, containing a single line of text.
  • Targeted Email Sends a personalised email to individual visitors, or to your support staff, which can contain product recommendations, abandoned cart products and text.
  • Feedback Form A feedback form that appears within a Bunting lightbox. You can download the responses from your Bunting account into a spreadsheet.
  • Redirect Visitors Send visitors to other pages on your website when appropriate. A useful common example is redirecting an international visitor to a version of your website that is written in their language.
  • Exit Message Show visitors a message that only appears when they try to close their browser. When combined with a special offer, this can produce an effective method of preventing visitor exits.
  • Shopping Cart Email A lightbox that appears to visitors, offering to send the contents of their shopping cart to their email. Bunting handles the form and the email sending, allowing you to easily collect more email addresses for later targeting.
  • Webhook Bunting can send visitor data to any URL of your choice with a webhook, allowing you to easily integrate with your CRM, website, or any other tool of your choice.
  • Javascript Execution Have Bunting execute a piece of Javascript that you give it.


By: Andy Alban 26th July 2018 Tags: ,

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Installation checklist

The purpose of this checklist is to give you assurance that every component of Bunting was installed correctly. This will give you troubleshooting advice about how to double-check and resolve any issues that might crop up.  It’s useful to do this immediately after completing the install to give peace of mind that you’re ready to begin using Bunting.

At a high level, the following should be checked:

  1. Conversions are being tracked by Bunting.
  2. Abandoned Carts are being tracked.
  3. Products in your XML feed match those on your website.
  4. Page specific Visitor Targeting will work correctly.
  5. On the Homepage.
  6. On the Category pages.
  7. On the Product Pages.
  8. On the Cart page.

Firstly, let’s deal with conversions. 💰

If you have installed the Conversion Complete Page script. Go ahead and do the following test:


By: Andy Alban Tags: , , ,

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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.


By: Andy Alban 22nd June 2018 Tags: , ,

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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.


By: Andy Alban 12th June 2018

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How do I change the Product Recommendations algorithm?

Within the content section of the Product Recommendation, select the Product Recommendation Settings. If you go to the Content of Recommendations section there is an algorithm dropdown.

This can be accessed from the following breadcrumb trail:

Inactive/Active Campaigns -> Product Recommendation Campaign -> Content -> Product Recommendation Variation -> Recommendation Settings

By default, this is set to Adaptive which uses machine learning to tailor the recommendations automatically to the page on which they reside.

The algorithm choice on specific page Recommendations can improve ROI based on the context of the page. To see a full list of Bunting Product recommendation algorithms and what they do please follow this link.









Changing the product recommendations algorithm of a variation.

By: Andy Alban

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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.


By: Ben Smith

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Removing / Updating Product Accolades

Every product accolade within Bunting has its own CSS class. These are listed as follows:

  • .bunting_accolade-most_popular
  • .bunting_accolade-best_seller
  • .bunting_accolade-lowest_price
  • .bunting_accolade-last_one
  • .bunting_accolade-last_chance
  • .bunting_accolade-best_offer


By: Stephen Tucker 16th February 2017

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