Contribution per order
Price less variable cost less discount, at order level.
SOLUTION
Grow margin from every sale, not just revenue.
Revenue-based bidding cannot tell a full-price order from a discounted one, or a high-margin category from a thin one. Datahash computes what each order actually contributes and sends that to Meta, Google, and the other platforms you buy on, so spend moves toward profit.
IN ONE SENTENCE
Margin growth is a solution where each order's contribution margin, price less variable cost less discount, is computed from the advertiser's own data and sent to ad platforms as the conversion value, so bidding optimizes toward profit on ad spend (POAS).
WHEN THIS IS YOU
The signs teams bring to us.
- Finance judges marketing on contribution margin while campaigns optimize on revenue.
- Your best-selling products are not your most profitable ones.
- A growing share of sales only happens on promotion.
- Cost and discount data sit in the ERP and never reach marketing.
What we compute.
Margin tiers
Across products and categories, so you can see how much margin actually varies.
Promotion dependency
Which customers and categories only buy on discount.
Stable values
Extreme orders are capped and changes are stepped, so bidding does not swing on a handful of outliers.
Where it goes.
Meta value optimization for profit margin
Learn moreGoogle value-based bidding with margin as the value
Learn moreTikTok, Snap, Pinterest, and Microsoft Advertising
Conversion values where your campaigns bid on value.
Same revenue, different margin.
Illustrative. No client numbers.
How an engagement runs.
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Discover
Margin, cost, and discount data located; spread across the catalogue checked.
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Scope
Margin definition, platforms, and the test agreed, with a go or no-go on fit.
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Execute
Margin values computed and delivered, verified in each platform before bidding uses them.
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Measure
Profit read against your current campaigns with a holdout, then scaled to more campaigns or platforms.
Questions your team will ask.
Does this help if our margins are similar across products?
Only a little. When margin is roughly the same share of every order, optimizing for profit and for revenue lead to almost the same decisions. It earns its keep when margins vary widely across products, categories, or order types, and we check that spread before anything is built.
Do our raw margins go to the ad platforms?
The platforms receive a value per order so bidding can use it. What exactly is sent, the actual margin or a consistently scaled value that tracks it, is your choice, and we agree it in scoping. Raw cost tables and supplier prices stay in your systems.
What data do we need?
Order lines with prices and discounts, and cost of goods for most of the value you sell. Product-level cost is enough to start. Shipping, payment fees, and returns sharpen the number where that data exists, and discovery confirms which sources are complete enough to trust.
Will this change our prices or promotions?
No. Datahash does not set prices or plan promotions. We show where promotions are driving low-margin volume, and we change what the ad platforms optimize toward. Pricing and promotion decisions stay with your commercial team, and we share what the margin data shows so they can act on it.
Adjacent moves on the same stack.
NEXT STEP