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Sellforte Launches Incremental Pixel to Bring Causal Measurement to Daily Ecommerce Attribution


News provided by

Sellforte

Oct 07, 2026, 08:48 ET

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Retail and ecommerce marketers can now see which campaigns drive incremental sales, with credit calibrated by incrementality experiments and MMM

DALLAS, Oct. 7, 2026/PRNewswire/ -- Sellforte, the Measurement and Optimization OS for retail and ecommerce, today announced Sellforte Incremental Pixel, a new attribution capability that combines customer journey data with causal evidence from incrementality experiments and Marketing Mix Modeling (MMM). The launch gives ecommerce and retail marketers one measurement system for both daily paid media campaign optimization and strategic investment decisions.

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Sellforte Incremental Pixel helps retail and ecommerce marketers calibrate attribution to the sales their marketing caused. (Image: Sellforte)
Sellforte Incremental Pixel helps retail and ecommerce marketers calibrate attribution to the sales their marketing caused. (Image: Sellforte)
In Sellforte Incremental Attribution, causal evidence from incrementality experiments and Marketing Mix Modeling (MMM) calibrates daily, campaign-level attribution powered by Sellforte Incremental Pixel. (Image: Sellforte)
In Sellforte Incremental Attribution, causal evidence from incrementality experiments and Marketing Mix Modeling (MMM) calibrates daily, campaign-level attribution powered by Sellforte Incremental Pixel. (Image: Sellforte)

Marketing teams often see several ad platforms claim credit for the same sale, while attribution tends to favor the channels closest to purchase, whether or not they caused it. Sellforte Incremental Pixel addresses both issues. The pixel counts every order once, and Sellforte then calibrates attribution with causal evidence, so performance teams can see which campaigns drive incremental sales and shift budget accordingly.

What Sellforte Incremental Attribution delivers

  • One count per order: The pixel, Sellforte's own website tracking layer, anchors attribution to actual sales.
  • Credit based on experiments: Conversion Lift and GeoLift test results adjust each channel's credit, lowering it when tests show sales would have happened anyway.
  • A clearer view of upper-funnel media: Prospecting and video receive more credit when experiments show they drive more sales than browser tracking observes.
  • Daily campaign-level performance: Teams see incremental return on ad spend by campaign, ad set and ad, while MMM still guides strategic budget allocation.
  • Side-by-side comparison: Platform-reported and incremental performance appear together, showing where platforms overstate or understate results.

"Ad platforms are very good at taking credit, so their numbers often add up to more sales than you actually made," said Juha Nuutinen, CEO of Sellforte. "Performance teams need daily numbers they can trust. Sellforte Incremental Pixel counts every order once and calibrates the credit with experiments and marketing mix modeling, so teams can optimize toward what marketing actually caused, not just what happened closest to the purchase."

Use the pixel or bring existing attribution

Brands can use the pixel or keep their current setup. Companies that already run Google Analytics 4, Snowplow or a specialist attribution provider can bring that data to Sellforte for calibration with incrementality experiments and MMM.

Availability

Sellforte Incremental Pixel is available now within Sellforte Incremental Attribution and is built for mid-market and direct-to-consumer ecommerce brands. Learn more at https://sellforte.com/incremental-pixel

About Sellforte

Sellforte is the Measurement and Optimization OS for retail and ecommerce. We unify Marketing Mix Modeling, Incrementality Testing, and Attribution into a single always-on platform, delivering true incremental ROAS at campaign and ad set level for the world's biggest retail and ecommerce brands like Grupo Soma, bonprix and Douglas. Learn more at sellforte.com.

Media Contact:

Daria Alén

+358466866640

[email protected]

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