Integrate first party data, sit back, and watch your ads get MORE conversions with the same budget
With a machine learning model tailored to your brand, predict every customer's purchase intent to make ads more efficient by over 10%.
How does AI Audience capture more conversions than your regular retargeting?
AI Audience learns from your visitors' past sessions and actions to create a complete profile of their customer journey
Once profiled, AI Audience rates every visitor's intent to convert and assigns intent parameters to their profile
Every labelled visitor is automatically sent to your ad account to be used as custom audiences
AI Audience uses over 400+ user signals from your first party data to predict every visitor's intent down to the granular level. This enhances your retargeting audiences with more data points for more tailored targeting.
By overlaying our AI on top of Meta's ad delivery system, you'll have more control in how Meta targets relevant customers. Filter out bad traffic, bots, and allow Meta to spend more on audiences that count.
By allowing Meta to spend more of your budget on true buyers and less on non-buyers, you can optimize conversions with the same budget - leading to increased sales and room to scale your budget with results.
Complete setup guidance and campaign strategy included.
No credit card or signup required!
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Quad Lock gains 3x Incremental Revenue with AI Audience Segmentation
"Working with the MoBagel team has been great. They have understood the challenges we were facing and have worked on testing and implementing solutions to help future proof our performance marketing efforts. Our aim now is to expand these tests, and see how else we can leverage our first party data and MoBagel’s tools to improve performance on other digital channels."
Advanblack boosts Meta Retargeting ROAS by 4x with AI High Intent
"The partnership with MoBagel has transformed our marketing approach, making it not only more efficient but also more effective. MoBagel's easy-to-use tools and supportive team have made this technological advancement a seamless part of our business."
Yes, we adhere to GDPR and data privacy policies. PIIs are not stored within our platform, and we use first-party distinct identifiers across platforms to enable secure and compliant communication. User-level data are directly sent in real-time to Facebook’s server via a ‘passthrough’ method for customer matching, meaning we do not store this data.
AI Audience segments users that have previously interacted with a brand, whereas in-platform lookalike audiences finds new audiences based on an audience signal. The two can work synergistically as we have found great success with AI Audience in combination with Meta’s Advantage+ Lookalike and Google PMAX campaigns.
Our model consistently performs 1.5X-3X better in recall and precision when compared to simple heuristic-based models such as page views and engaged time. This is because our machine learning models are based off of 300+ carefully selected features to analyze and predict user behavior, allowing us to more accurately capture customer intent.
No. All our customers' data is only used to train machine learning models and to deploy customer predictions for each brand . We also follow internal information security processes that are compliant with ISO 27001 standards.
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