Trusted by ecom teams at Europe's leading companies
Trusted by ecom teams at Europe's leading companies
Dema vs Fospha (2025 Comparison)
Fospha offers an alternative to cookie-based attribution, but stops short of providing the full stack of modern measurement. Dema.ai brings together marketing mix modelling (MMM), multi-touch attribution (MTA), and modelled incrementality - with real-time dashboards and predictive tools built for ecommerce operators, not data teams.
Attribution is only the start - Dema delivers the full picture
Fospha helps brands see what happened. Dema helps them act on it. Where Fospha relies on click-based MMM and backend sales, Dema builds a full commercial data warehouse and models contribution - not just impressions.
Fospha is limited to GA, ad platform data, and backend sales. Dema brings in Orders, Products, Financials (COGS, returns, margins), Customers, and full-funnel spend, digital and non-digital.
Fospha combines click-based DDA with daily MMM. Dema is grounded in incrementality first - using lift tests, then building MMM calibrated by real-world results.
Fospha often relies on the CSM and is used sporadically. Dema is self-serve and embedded in weekly decision-making across marketing, eCom, and finance.
Dema shows why Meta might look good but profit is down. It breaks performance down to contribution margin (CM3) and simulates what to do next.
Dema doesn’t just report performance. It steers profitable growth.
Set rules, define logic, and trade with clarity - in real time.
Built for more than marketing
Fospha is built around post-cookie attribution. But attribution alone doesn’t drive growth. Dema goes further—forecasting outcomes, flagging cannibalisation risk, and powering product/channel reallocation.
Fospha can’t ingest offline sales or cost data—digital often takes too much credit. Dema ingests everything down to SKU, return, and contribution level.
Fospha runs on a one-size-fits-all “source of truth” built on impressions and gross sales. Dema models incrementality and contribution margin so you can prioritise profit, not just clicks.
Fospha insights often sit in decks. Dema automates rule-based logic - like excluding unprofitable SKUs or reallocating spend toward products with strong LTV and payback.
Dema gives CMOs numbers they can defend in the boardroom - based on real lift, not black-box models. Most clients use it weekly to rebalance spend and scale without eroding margin.
Dema doesn’t just measure. It moves the needle.
Dema doesn’t sit in your inbox. It sits in your commercial toolkit.
Dema.ai vs Fospha features comparison for 2025
While both platforms offer attribution, Dema goes further - combining always-on MMM, incrementality testing, forecasting, and profit-focused metrics in one operator-ready platform.
Features | Dema | Fospha |
|---|---|---|
Attribution Modelling | Hybrid MMM + MTA with geo-variance and full-funnel coverage | Probabilistic attribution & ad platform data-led |
Marketing Mix Modelling | Always-on geo-level multi-channel MMM | MMM included but primarily media-focused |
Incrementality Testing | Modelled lift + synthetic control + structured test support | Not Available |
Forecasting & Planning | Predictive budget simulation / CAC payback and LTV modelling | Not Available |
Profitability Metrics | epROAS / net margin contribution / payback periods | Primarily ROAS and revenue metrics |
Omnichannel Measurement | Meta / Google / Amazon / TikTok / affiliates / email / CRM / POS / retail | Primarily Meta and Shopify |
User Experience | Operator-first — designed for growth / finance and leadership teams | More analyst-led and media team-focused |
Dema vs Fospha
"Dema's platform allowed us to turn data into action and maximize both revenue and profitability."
Robin Mostacero
CEO
Aim'n
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