Dema
Use case

Marketing optimization

An agent connected to true profitability, new customer acquisition, and every cost line — optimizing your marketing on the metrics that actually matter, not platform-reported ROAS.

Ask about campaign profitability, budget allocation, or feed optimization...

User

Which campaigns lost money last month after all costs?

Trusted by leading brands

The problem

Platform ROAS hides the real picture

Ad platforms report on revenue. They don't see COGS, return rates, shipping costs, or payment fees. A campaign with 5x ROAS can lose money after all costs are counted. Most brands don't discover this until it's too late.

How Ridestore scaled profitably across 30+ markets

Our collaboration has been nothing short of a revolution. Dema's solution is now the beating heart of our operation.

Elin Glommen · CEO, Ridestore
Dema

How Ridestore scaled profitably across 30+ markets

−10%

Lower CAC

17%

Gross Margin 3 growth

30%

Bottom line growth

Ridestore shifted from revenue-based marketing to epROAS-driven strategies with Dema. By understanding true campaign profitability across 30+ markets, they cut marketing costs by double digits while exceeding sales expectations.

Read the full story

Campaign profitability

Contribution margin after all costs — COGS, shipping, returns, fees — for every campaign, ad set, and ad. The agent flags unprofitable spend automatically.

Budget allocation

MMM-backed response curves show where each euro works hardest. The agent compares scenarios and shifts budget to where profit grows — not just revenue.

Feed optimization

Product segments synced to Google and Meta custom labels automatically. The agent adjusts feeds based on margin, stock, and performance.

Measurement

Grounded in measurement, not guesswork

The agent's recommendations are backed by Marketing Mix Modeling, incrementality testing, and causal factor attribution — not platform-reported metrics. Every budget suggestion traces back to statistically validated models.

Varné Studios
Dashboards
Reports
MMM
Segmentations
Incrementality
Settings
MMM configurations
Net gross profit 3
New customer revenue + LTV
Gross sales
Net gross profit 3
Unsaved changes
Save
EUR
Last week
vs
Actual spend
Spend overview
AbsoluteRelative
Facebook Awaren...
Facebook Leadgen
Facebook Tr...
Google Generic
Google PMAX
Nordics
-21.5K
+12.3K
-1.2K
+5.9K
+1.1K
US
-8.3K
-6.1K
-14K
+1.4K
+3.1K
Australia
-0.09K
-0.05K
+3.1K
+0.6K
-0.5K
DACH
+14.5K
-15K
-0.8K
-16.4K
+1.5K
United Kingdom
+5.1K
-29K
-8.9K
+14.3K
+7.2K
France
-12K
-4.7K
+7K
-4.9K
-0.02K
-30K0+30K
Optimized vs actual spend
Ad spend76.7K-24% vs 99.1K actual
New customer revenue12.3K-4% vs 12.8K actual
Net gross profit 3155.2 K+17% vs 128.7K actual
Net gross profit 2119.8K+10% vs 203.6K actual
Gross sales221.5K+8% vs 203.6K actual
ROAS291%-8% vs 301% actual
Opportunities
MarketsChannels
ViewModel settings
Aggregation
Markets
Select all
US
Nordics
Australia
DACH
United Kingdom
France
Channels
Select all
Facebook Awareness
Facebook Leadgen
Facebook Traffic
Google Generic
Google PMAX
TikTok
Snapchat
Pinterest
Metrics
Select all
Ad spend
New customer revenue
Net gross profit 3
Net gross profit 2
Gross sales
ROAS
epROAS

Marketing Mix Modeling

Always-on budget optimization. Response curves show where each euro works hardest across channels and markets.

Incrementality testing

Geo-based experiments that prove causal impact. Know which channels actually drive new revenue.

Causal factor attribution

Calibrate your attribution with real experimental evidence — not clicks, not platform claims.

Everything connected

From creative to product to profit — in one place

Products, creatives, inventory, marketing spend, and profit margins stitched together. Drill into any product or ad creative and see every metric that matters — sell-through forecasts, ROAS, CPA, margin after marketing — all on real-time data.

Product photo
Grey ClassicsVarné Studios
MarketDACH
Products sold
1 841-18.87%
Forecast sell-through
119%7.81%
Marketing spend
€ 137 12018.87%
Margin after marketing
-3.15%-2.12%
Product photo
Spring Campaign — Look 3TikTok
FormatVideo 9:16
CTR
2.14%34.0%
Frequency
1.8-12.3%
Profit ROAS
4.2×18.6%
CPA
€ 11.40-8.30%
How Axel Arigato refined their growth strategy with incrementality
Dema

How Axel Arigato refined their growth strategy with incrementality

70

Employees

2014

Founded

Gothenburg

Headquarters

Scaling digital investments is easy — scaling them profitably is hard. Axel Arigato used Dema to run incrementality experiments across Meta and Google, discovering where spend was truly incremental and where it was cannibalizing organic. The result: confident, profit-based budget decisions across platforms.

Read the full story

Segmentation

Build product segments, push them as custom labels

Group products by profitability, sell-through rate, stock depth, or any combination of 100+ metrics. Segments sync to Google Shopping and Meta Catalog as custom labels — so your campaigns always bid on the right products.

Product segment rules

Define conditions to group products. Matching products update as data changes.

Conditions

No rules defined yet

Rule-based product sets

Combine margin, sell-through, days in stock, and return rate into rules. Products matching all conditions are grouped automatically.

Custom label sync

Push segments to Google and Meta feeds as custom labels. Rules change, labels update — no manual exports or stale feeds.

Profitability-driven bidding

Exclude negative-margin products from spend. Boost high-margin, fast-selling SKUs. All based on real CM3 data, not guesswork.

Black Friday has always been a key period for us, but this year we outperformed expectations. Dema's platform allowed us to turn data into action and maximize both revenue and profitability.

Robin Mostacero

Robin Mostacero

CEO, Aim'n

Read story

Frequently asked questions

The agent applies the full cost chain — COGS, returns, shipping, payment fees, and ad spend — to every campaign, ad set, and ad. It computes contribution margin (CM3) rather than platform-reported ROAS, so you see which campaigns actually make money after all deductions.

At minimum, ad platform connections (Google Ads, Meta Ads) and an e-commerce backend (Shopify, Centra, Commercetools, etc.). Dema automatically models costs, returns, and margins once data flows in. Most teams are live within two weeks.

The agent uses Marketing Mix Modeling to build response curves per channel. You can ask it to compare scenarios — 'What happens if I shift 20% from branded search to Meta prospecting?' — and it shows the projected impact on profit, revenue, or new customers.

Yes. The agent can push product exclusions, budget recommendations, and custom label updates to Google Ads and Meta Ads. It can also sync product segments to shopping feeds via custom labels, so feed optimization is continuous.

Ad platforms report on revenue and their own attributed conversions. They don't see COGS, return rates, or cross-channel effects. Dema combines all cost data with causal measurement (MMM + incrementality) to show true profitability — not inflated platform metrics.

No. The agent understands plain language. Ask 'Which markets are losing money on Meta?' and it queries across every dimension. Analyses that used to require SQL and BI tools happen in a single conversation.

Stop optimizing for revenue. Start optimizing for profit.