Media drives 20 to 40% of total sales
Getting it right is a commercial decision
Platform ROAS is biased by design
Every channel overstates its own contribution
Promotional periods skew your performance data
Without modeling them correctly, media ROI is hard to trust
Sellforte unifies Marketing Mix Modeling, Incrementality Testing, and Attribution into a single, always-on Operating System. It does not replace your existing measurement stack. It corrects it.
Incrementality factors from continuous MMM and geo lift and conversion lift experiments are applied back to your attribution, giving you true incremental ROAS at campaign and ad-set level, every day.
It understands that a Spring campaign, a Black Friday buildup, and always-on performance activity behave differently. And it knows that a dollar spent during a 20% off coupon week is not the same as one spent at full price in February.
It runs continuously, not quarterly. The output is not a dashboard. It is a decision.
Replace attribution with campaign-level incremental ROAS, every day
Fashion ecommerce teams run on daily and weekly optimization cycles. Sellforte delivers incrementality-corrected ROAS at campaign and ad-set level on that cadence, not in a quarterly report. You get the accuracy of MMM with the granularity your performance team needs to act on it today.
Run incrementality tests at scale and feed results back to your model
Fashion ecommerce brands running serious measurement programs run hundreds of incrementality experiments a year. Sellforte's Experiments Hub unifies Geo Lift tests, Conversion Lift studies, and A/B tests in one place. Every result feeds back into the MMM as a Bayesian prior, sharpening the model with every experiment you run rather than treating tests as one-off projects.
Separate media-driven sales from promotions, coupons & seasonality
Coupons, targeted offers, category promos, season sales, and mass discount events are all massive revenue drivers in fashion ecommerce. They are also the fastest way to corrupt your media measurement if they are not modeled correctly. Sellforte explicitly models your promotional mechanics alongside seasonality and temperature effects, so your media ROI reflects what media actually did, not what happened to occur in the same week as a 20% off event.
Understand which channels are saturated and which can still scale
As spend in any channel grows, its incremental effectiveness decreases. Sellforte models marginal response curves for every channel so you know exactly where you are on that curve today: which channels still have room to scale, which are already saturated, and what the next dollar invested in each one would actually return. That is the number that should be driving your budget decisions.
Optimize budgets at every level, from annual planning to next week
Sellforte supports budget decisions at three levels simultaneously. At the campaign level, it recommends optimal spend for each individual campaign. At the channel level, it recommends how to allocate budget across your full media mix. At the pacing level, it recommends the right channel-level budget for each week. One platform covers your annual planning cycle, your quarterly reallocation, and your daily performance team's optimization.
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Response curves: Know exactly where each channel sits on the saturation curve
In fashion ecommerce, media budgets move fast and campaign cycles are short. Every dollar invested in a saturated channel is a dollar that would have worked harder somewhere else.
Sellforte models marginal response curves for every channel in your mix, so you can see whether Paid Social still has room to scale, whether branded search is already saturated, and what the next dollar in each one would actually return. That is the number your daily optimization decisions should be based on, not blended ROAS.
Media metrics: Understand what is driving shifts in your ROI
In fashion ecommerce, ROI moves constantly, across seasons, promotions, and product mix changes. Media metrics from your ad platforms tell you why. A sudden improvement in PMAX performance might be explained by a 15% rise in Average Order Value during a new collection launch, not a change in media efficiency.
Sellforte surfaces ad platform metrics alongside MMM results so your team can separate true performance shifts from commercial ones, and make smarter decisions because of it.
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