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Top Offer Recommendation
Top Offer Recommendation

Everything you need to know about Tinyclues' Top Offer Recommendation feature

Diana Sains avatar
Written by Diana Sains
Updated over a week ago

Tinyclues' Top Offer Recommendation feature allows you to identify for individual customers the top offers (i.e., those most likely to garner the highest levels of interest) among a set of offers of your choosing.

How Does It Work?

You will be able to select the offers that you would like to push in your next campaign (up to 25), either manually or via an auto-populate function based on specific criteria of your choosing (more on this later). You will also designate a prioritization degree (that is, how many offers you would like to rank for each customer, up to a maximum of four). Tinyclues' predictive engine will then identify the best offers for each customer individually, prioritized from the most appealing offer to the least.

Once computed, you will be presented with the volume of each offer. You will also be able to export the file with the priority of every offer for every customer.

Benefits Summary

  • Next-Level Personalization: Contact-level offer prioritization in just a few clicks

  • Manual offer selection or automated selection based criteria including but not limited to revenue generation, average order value, and underperforming offers

  • Use this information for clienteling, email and direct mail customization, website optimization, and more

Top Offer Recommendation : Primary Use Cases

Let's take a closer look at a few real-life applications of Tinyclues’ Top Offer Recommendation feature.


Uplevel your personalization strategy by putting precisely the right information in front of priority customers. Provide informed customer service to key clients by presenting them not only with new arrivals, launch info, store news, and so on - but with exactly those offers and products most relevant to their current needs and interests.

Email Customization

Use offer prioritization insights to customize email templates and newsletters around customers’ primary interests. If you wish, for example, to communicate to loyalists about a private sale featuring a number of brands, you might choose to feature individual clients’ top 3 brands in the emails they will receive.

Landing Page Optimization

Information regarding customers’ offer preferences can be used to granularly target users on-site. Perhaps you wish to target on-site display based on purchase history; use the Custom Offer output to inform and further refine that targeting strategy.

How to Use Tinyclues' Top Offer Recommendation Feature

Start by navigating to the Top Offer Recommendation section of the UI by clicking the small Customer-Gear icon to the left of your screen.

Next, click the blue Create Top Offer Recommendation button.

On the lefthand side of the screen, you'll be presented with fields to name your Top Offer query, configure your settings, and select your offers; the offers themselves (and associated insights) will appear to the right of these fields.

You'll need to make a few selections within the Settings section of the page; these include Objective, Audience Filter, Offers per Customer and Offers

  • Objective. The objective represents your primary purpose in reaching out to customers. Options for your objective are customized and will align with the objectives available to you when you create campaigns. Changing the objective will have an impact on the scoring algorithm as it is closely tied to offer selectability. If you don't select an objective when you create campaigns, you won't need to select an objective when using the Top Offer Recommendation feature either

  • Audience Filter. You can filter the audience you aim to target. Once a filter is selected, you will see the number of customers included over the total number of addressable customers. Note that adding a filter is entirely optional.

  • Offers per Customer. Each customer will be associated with 1 to a maximum of 4 offers, ranging in priority - starting from Priority 1 (highest) to Priority 4 (lowest), where the highest priority represents the most palatable offer. Conversely, the lowest priority represents the least appealing offer.

Once you have finished configuring your TOR campaign, there are two ways how you can select the offers that you wish to be computed.

  • Manual Offer Search. This Offers section is what you have been using on Campaign Creation. You can select up to 25 offers at a time. Selected offers will appear to the right of the offer selection panel, along with a variety of insights including associated revenue for the previous 30 days. To get rid of an offer, simply click the Trash icon on the righthand side of your screen.

  • Automatic Offer Selection. Simply select the performance indicators around which you wish your offers to be based, along with the number of offers. In order to do that first you have to select the Offer Type. This is a crucial concept when using Automatic Offer Selection. Please make sure to better understand it before moving ahead. (more on this in the below section, Offer Types : A Closer Look).

Performance indicators

  • Top Offers by Revenue. This option will present you with your best offers in terms of revenue for the past 30 days. The displayed offers will be sorted from the highest revenue generators to the lowest.

  • Top Niche Offers. This option will present you with the offers that target the most specific audience. In other words, we would say that these offers have the highest Efficiency Indexes. Get to know your niche audiences better!

  • Low-Velocity Products. By selecting this option you will get a list of offers whose associated revenue has decreased compared to the previous month.

  • Top AOV Offers. Average Order Value (AOV) tracks the average amount spent each time a customer places an order. This option will provide you the offers with the best AOV indicator, from the highest to the lowest.

Offer Types : A Closer Look

Levels of Offer Types. If you are familiar with our Efficiency Map feature, you will have noticed that your Offer Types follow a hierarchy logic, with Offer Types ranging from most encompassing to most granular. The Top Offer Recommendation feature follows the same logic. Note that once you select an Offer Type below the highest-level in your hierarchy, the higher-level offers will automatically be selected as well. In the example below, you'll see that once the offer type GMC2 is selected from the Brand dropdown, the higher level, Brand, populates as well.

The selected Offer Types will impact your Offer Search/Selection configurations.

Once you've settled on your offers, click the blue Compute button at the bottom right corner of your screen; results will be available in minutes!

Exporting Your Results

Once the predictive engine has completed its calculations, you'll be presented with a snippet of your results. Your offers will be sorted from the highest priority to the lowest for every client. You can export your results in a CSV file directly to your SFTP server.

What Happens to My Top Offer Recommendation (TOR) Queries?

When you navigate to the Top Offer Recommendation main page, you will find a summary of all of the Top Offer Recommendation pulls that you have created/drafted, along with their details.

For each TOR created, you will find some basic information along with important actions that you may take directly from this main page.

  • Plus Icon. Click on the plus icon to expand your TOR. This will allow you to have a quick look at the selected offers as well as the volume of each priority.

  • Name. Modify the name of your recommendation directly from the summary page.

  • Status. This section indicates the status of this specific recommendation. There are 4 possible statuses:

    • The Draft status indicates that you saved your TOR as a draft. It was neither computed nor exported.

    • Computing is a temporary status that indicates that the prioritization process is ongoing. You’ll have to wait for a couple of minutes before the final result.

    • Ready for Export will appear when you have computed and saved the selected offers but you have not exported them yet.

    • Exported is the final state, once your TOR has been successfully exported.

    • Error will be displayed if for some reason the TOR was not successfully computed and/or exported.

  • Priority. Indicates the number of offers per client chosen for the specific Top Offer Recommendation

  • Created At. The date on which the TOR was created.

  • Last Updated At.The date of the last action on TOR, in cases of re-computing and/or modification.

  • Actions:

    • Edit. Allows you to make any necessary adjustments.

    • Delete. You can delete a TOR if it is no longer needed. Note that once deleted, a TOR cannot be recovered.

    • Re-compute. You may re-compute the prioritization of your offers directly from the landing page.

    • Export. You can export a draft directly from the quick action menu.


    We're Here to Help

    Don't hesitate to reach out to us with any questions you may have about the feature or its potential uses! Questions and feedback are always welcome, and help us to provide the best possible user experience 💪🏻

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