Audience Recommendations
Get inspired from default targeting rules of use cases & take targeting from there.
Audience Recommendations is an OptiMonk feature that pre-populates a campaign's targeting rules based on the use case you select — giving you a ready-made, proven starting point for who should see your campaign instead of asking you to configure targeting from a blank slate. When you browse OptiMonk's use case library and select a campaign type — for example, a cart abandonment exit-intent offer, a free shipping bar, or a returning visitor discount — the system automatically loads the default audience conditions that are most relevant for that use case. These recommended targeting rules reflect the logic that typically drives the best results for each campaign type: an exit-intent campaign for non-subscribers, a cart value threshold for a free shipping nudge, a returning visitor condition for a loyalty offer. From there, you can accept the defaults as-is, adjust individual conditions to match your store's specifics, or extend them with additional rules — using the recommendation as a foundation rather than a finished configuration.
Key benefits
- Eliminates the blank-slate problem for new campaigns: Knowing which targeting conditions to combine for a given campaign type requires experience with OptiMonk's full rule set. Audience Recommendations removes that barrier by surfacing the right conditions automatically — so a first-time user launching a cart abandonment campaign gets the same audience logic that an experienced user would configure manually, without needing to know which rules to reach for.
- Grounded in use-case best practices, not generic defaults: The recommended targeting rules are specific to each use case, not a one-size-fits-all preset. An exit-intent newsletter campaign gets different default conditions than a product page cross-sell or a returning visitor loyalty offer — because the right audience for each is genuinely different. This use-case-specificity means the recommended starting point is already closely aligned with campaign intent before you make a single adjustment.
- Fully editable — take the recommendation as far as you need: Audience Recommendations is a starting point, not a locked template. Every condition in the pre-populated rule set can be modified, removed, or extended. You can add a cart value threshold, layer in a URL condition to restrict the campaign to a specific product category, or combine the recommended audience with a custom segment you have already saved. The recommendation accelerates setup without constraining customization.
How it works
In OptiMonk, navigate to the use case library and find the campaign type that matches your goal — for example, "recover abandoning cart visitors," "grow your email list on the homepage," or "show a discount to returning non-buyers." Use cases are organized by goal, making it straightforward to find the right starting point for your campaign.
When you select a use case and begin setting up your campaign, OptiMonk automatically populates the targeting conditions section with the recommended audience rules for that campaign type. You will see the pre-filled conditions in the "Select who should see the popup" section — ready for review rather than requiring manual configuration from zero.
Check the pre-populated conditions against your store's specific needs. If the recommendations fit, proceed without changes. If you want to narrow or expand the audience — for example, adding a minimum cart value threshold, restricting to a specific URL pattern, or excluding existing subscribers — add or edit the relevant conditions. Save and publish when the audience is configured to your satisfaction.
Frequently asked questions
What is Audience Recommendations in OptiMonk?+
Audience Recommendations is a feature that automatically pre-fills a campaign's targeting rules based on the use case selected from OptiMonk's use case library. Instead of building targeting conditions from scratch, you start with a set of default rules that reflect the audience logic most commonly used and most effective for that specific campaign type. The recommendations are fully editable and serve as a starting point rather than a locked configuration.
Where do the recommended targeting rules come from?+
The default targeting rules for each use case are based on the typical best-practice audience conditions for that campaign type — derived from how OptiMonk campaigns are most effectively configured for each goal. For example, a cart abandonment campaign's recommended audience might include conditions for visitors with products in cart and a non-subscriber status, while a returning visitor campaign would pre-fill a returning visitor condition. Each use case has its own distinct set of recommended conditions rather than sharing a generic preset.
Can I change the recommended targeting rules after they are loaded?+
Yes, completely. The pre-populated conditions are fully editable. You can remove any condition that does not apply to your use case, adjust values within existing conditions (such as changing a cart value threshold), or add entirely new conditions on top of the recommendation. The recommendation is a starting point — you retain full control over the final audience configuration.
Does Audience Recommendations work for all campaign types in OptiMonk?+
Audience Recommendations applies to campaigns created from OptiMonk's use case library, where each use case has an associated default audience. Campaigns built entirely from scratch in the editor, without selecting a use case, start with an empty targeting configuration and do not have a pre-populated recommendation. To benefit from Audience Recommendations, start your campaign from a use case rather than a blank template.
Can I save a modified audience recommendation as a custom segment for future campaigns?+
Yes. Once you have adjusted the recommended targeting rules to suit your store — for example, refining the default conditions with your specific URL patterns or cart value thresholds — you can save that configuration as a named custom segment in OptiMonk's Segments library. This allows you to reuse the refined audience in future campaigns without starting from the use-case recommendation again, combining the benefit of Audience Recommendations as a starting point with the scalability of saved custom segments.
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