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August 4, 2022

Key platform updates in July: campaign A/B tests and ready-made integrations for ad accounts


Test campaigns, media segments, and any of your campaigns using new A/B tests

Previously, when testing campaigns, we had to rely on additional help from workflows, static segments, export actions, and Excel calculations.

Built-in A/B tests tests are now available in Mindbox. To do this, in the “Campaigns” section:

  • create an A/B test and specify the segment participants you want to test, as well as the number of variants, the number of participants in each variant, and the main test objective that you will use to evaluate the results
  • incorporate filters to use each of the variants in campaigns: launch a promotion, send a message or display a pop-up
  • look at the report to see if there is a statistically significant difference between the variants.

So far, only the “Order conversion rate” and “Average order value” objectives are available for testing. However, this list will expand.

A/B test settings
When setting up the A/B test, specify the segment, the number of variants, the number of participants in each variant, and the main objective.
A/B test results report
A/B test results report

Workflows have completely replaced triggers

It’s no longer possible to create triggers. Workflows are now used for all campaigns. Their interface is intuitive, making it easier to train a new employee or to show colleagues how the campaigns work.

If you haven’t used workflows yet, our Help Center articles will help you get started.

All currently-running triggers will continue to function.

Workflow for “abandoned” cart/browse campaigns
Workflow for “abandoned” cart/browse campaigns

Ready-made integration for the Ad Optimization module

Previously, in order to start working with the Ad Optimization module and transfer audiences to ad accounts, you had to manually create operations and set up a connection.

Now all the settings can be configured in just a few clicks. Simply add the integration and go straight to the settings to transfer audiences.

“Integration Settings” section
In the “Integration Settings” section click “Create new integration” and select “Ad Accounts”.
“Integration Settings” section
Name the integration and choose a brand. Once you’re done, move on to working with audiences.

Mobile apps

Integrate mobile apps faster using presets

It is now easier to create integrations for iOS and Android apps. In iOS, presets have been made for the debugging (sandbox) and operation of the app (prod), in which the necessary integration settings have already been set up.

ПAt the same time, we improved small features:

  • the name of the integration is now the actual name, not the external identifier (endpoint)
  • the endpoint name is configured in the settings block
  • a touchpoint is automatically generated based on the endpoint name (if another one is needed, it can be selected from the list)
  • the project name is automatically added to the endpoint name.
Integrations section
If a specific touchpoint is needed, it can be selected from the list.

Mobile push notifications can be connected without the support service

Previously, when setting up integration credentials for push notification sending systems, such as Apple, Firebase, and Huawei, it was necessary to contact the support service. This could take up to several days and ultimately slow down the integration process.

Now you can do it yourself by writing the necessary data directly in the app integration settings. Once the settings have been saved, Mindbox runs an additional check and flags up any invalid credentials or typos.

Integrations section
Now it is possible to write mobile push notification integration codes without contacting support.

To verify that the data is up to date and spelled correctly, simply go to the integration settings and cross check them with the data from the push sending systems.


Track customer actions directly in their profile

We have added an “Activity Feed” tab in customer profiles, which collects all customer actions.

At the same time, the list of actions itself has been updated:

  • sorting by date allows you to quickly view the customer’s very first actions and study their earliest interactions with the brand
  • the date of creation of the action in the system is highlighted if it differs from the present date so that this can immediately be taken into account when investigating errors
  • you can now share a link to an action and send it to your co-workers.
Activity Feed


Quick check for the workflow filter.

When setting up a workflow, it is important to make sure that the system has customers, orders, or actions that match the workflow’s conditions.

Previously, to do this, the filter had to be copied from the workflow, then applied to the customer’s profile or activity feed. Now the filter can be checked directly from the workflow by clicking “Go to the list”. A new tab will open the customer’s profile or activity feed with the filter applied.

To check the filter, click “More” → “Go to list”...
...this will open a new window with the conditions and the customers that were filtered.

Personal recommendations

Set up recommendation algorithms with ease

We have updated the algorithm editing page. Now almost all algorithms can be edited according to the new design.

A preview of recommendations has now been added at the top of the page which makes it easier to configure and debug them. If there are no recommendations, you’ll be able to see why straightaway – whether this is because the required parameters haven’t been filled in, the algorithm has not been updated, or there are no products available.

Personal recommendations

It is also now easier to set up product similarity characteristics. For example, previously, in order to change the priority of features, they had to be deleted and re-selected. Now you can simply drag and drop them in the list. We have added convenient labels instead of complicated check-boxes.

We have also simplified the settings to exclude manufacturers. Previously, in order to set up multiple exceptions for the same manufacturer, we needed to create the number of one-to-one matches equal to the number of exceptions. You can now opt for only one exception with a multi-selection option.

The following case study is from Mindbox, the original brand behind Maestra’s technology