Cart Abandonment Analytics

Cart Abandonment Analytics

Use Purchase Data to understand where eCommerce
shoppers abandon carts, which products they drop, and
which experiences finally convert them.

Recover Lost Revenue

Cart analytics with BIScience’s Purchase Data uniquely highlight the exact points where intent stalls, guiding fixes that recover revenue and improve journeys.
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Quantify Lost Sales

Quantify revenue tied to abandoned carts.

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Flag Risky Products

Find products most frequently removed pre-purchase.

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Diagnose Drop-Off Drivers

Link abandonment to price, stock or offers.

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Prioritize High-Impact Fixes

Prioritize fixes for highest value drop-offs.

Trusted by more than 2,000 of the world’s leading brands

Abandonment Analysis Features

Add-to-Cart Tracking

Purchase Data logs add to cart events at product level, creating a clear view of demand before checkout and revealing which items attract initial interest.

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Remove-from-Cart Signals

Remove-from-cart events uniquely capture hesitation moments, showing when shoppers change their minds and which combinations of items, prices or fees trigger drop-offs.

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Journey-Level Cart Views

Journey-level cart views connect events across sessions and devices, allowing analysts to pinpoint the steps and channel transitions where abandonment usually occurs.

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Actionable Cart Exports

Teams export high value abandoned carts into CRM, experimentation or marketing platforms, powering targeted win-back campaigns and on-site tests focused on real friction points.

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One global panel of 30+ opt-in users that powers different datasets in real time.

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Transparent consent and strict compliance keep every insight regulatory ready.

Real Consumer Behavior

Organic actions from real users, not synthetic or scraped, for deep coverage.

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global markets
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opt-in digital devices
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smart TVs panel
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unique signals
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behavioral digital data
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online journeys
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