Next-Gen Marketing Mix Modeling solution for Grocery Retail
Measure how digital and offline media drive sales in all sales channels. Analyze media's impact to each product category separately. Optimize budgets annually, quarterly, and monthly.

Typical media optimization challenges in Grocery Retail
Not measuring how media affects Store Concepts differently
Not measuring how media affects Product Groups differently
No comparable ROI metrics across offline and online media
Optimization across all media is not possible, if media channels are not measured with comparable ROI metrics.
Level of saturation in each advertising channel not considered in optimization
Optimizing budget allocation across different media is possible only if saturation level for each media is known.
Using a Marketing Mix Model that is not properly configured for Retail
Examples: Promotions not modelled properly. Non-media factors, such as weather, not taken into account. Model does not understand differences in product groups.
Using a Marketing Mix Model that is not able to use highly granular data
Grocery Retailers have massive amounts of receipt-level data, but most Marketing Mix Models can't use it to its full extent.
Why are Fashion Retailers measuring media with Sellforte?
Understand how much of your sales is driven by media
Sellforte helps you understand the drivers of your revenue. Sellfortes decomposes your sales to
- Base sales: Sales you would get without media or promotions.
- Promotion-driven sales: Sales driven by promotions.
- Media-driven sales: Incremental sales driven by your media.
Measure how media drives revenue in difference Store Concepts
Hypermarket, Supermarket, Convenince Store.. Whatever Store Concept mix you are using, Sellforte helps you measure how media drives revenue differently in each of them.
And measuring eCommerce sales is included too.

Measure the Full Funnel, not just the Last Click
Start measuring Awareness channels, such as Paid Video and Paid Social Awareness, which don't show up in click-based measurement.
Reveal the true potential of Paid Social, which can be 2x - 17x more effective than what Last-Click shows. Read more
Evaluate level of saturation in Demand Capture channels, such as branded search or retargeting campaigns.
Measure which channels work well in different campaign types
Spring campaign, Summer campaign, Back-to-School campaign, Brand campaign, Always-on...
If you treat all of these campaign types in the same way, you'll find yourself with a non-optimal media budget allocation very fast. Proper Marketing Mix Model for Retail understands how different media channels behave in different campaign types.

Measure offline media
Sellforte provides Retailers ROI measuremetn also for offline media. This enables you to plan and optimize the full media mix, and compare digital and offline channels with comparable metrics.

Measuremenyt you can trust: Sellforte models are built for Retail
We are experts in modeling non-media features affecting sales in Retail and eCommerce, such as Promotions, Weather, Seasonality, and major events like Black Friday.
We are also able to model how media affects each Product Group differently, enabling drastically more granular insights.


Sellforte supports media budget optimization on all levels
1. Optimize
Campaign spend
Sellforte recommends optimal spend for each campaign.
2. Optimize
Channel allocation
Sellforte recommends optimal budget allocation by channel.
3. Optimize
Budget pacing
Sellforte recommends optimal channel-level budget for each week.
Deep insights that go beyond ROI measurement
Response curves: Understand level of saturation in each channel
As spend to a channel grows, its effectiveness decreases: each new dollar/euro invested in a channel is driving less and less incremental revenue. This is called the diminishing return effect, and it can be analysed with response curves. For optimization, it is critical to understand whether your channel is saturated or still has lots of room for scaling.

Media Metrics: Analyze ROI drivers
Media metrics are ad platform -reported data which can be used to complement Sellforte's measurement. They can explain why ROI is increasing or declining.
Example: Recent improvement in PMAX campaign ROI might be explained by +15% increase in Average Order Value (AOV)
