The value rides on a signal path we already run.
Signals delivers server-side events to every platform on this page. Adding a better value is an extension of a pipeline that is already deduplicated and matched.
SOLUTIONS
Optimize ad spend for value, not volume.
Every major ad platform can now bid on the value you send it. Datahash makes sure that value is the right one, from your CRM, order history, margins, or predictions, delivered server-side to Meta, Google, TikTok, Snap, Pinterest, and Microsoft Advertising.
IN ONE SENTENCE
Value optimization is a bidding approach where ad platforms optimize delivery toward the conversion value an advertiser reports, so campaigns find customers and actions worth more to the business instead of the largest number of cheapest conversions.
Why this is the next step after CAPI.
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Clean conversion signal was the first job. Server-side delivery, dedupe, and match quality tell a platform that a conversion happened.
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Value is the second job. Platform models now ask how much each conversion was worth, and most advertisers answer with the first-order basket, which is the least informative number they have.
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A first order says little about the customer. A subscriber who churns in week two and one who renews for three years can look identical on day one. Bidding cannot tell them apart unless you do.
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The data to tell them apart usually exists already, in the CRM, the order history, the ERP, or the warehouse. It rarely reaches the ad platforms in a form they can bid on.
Why Datahash for value optimization.
Partner-verified.
Meta Business Partner, Snapchat Marketing Partner, TikTok Partner, Google Marketing Platform Certified, and selected Google Implementation Partner (EMEA).
Honest about fit.
Some accounts should not switch yet. If conversion volume is too thin or values do not vary enough to change bidding, we say so in scoping and tell you what to fix first.
Your data stays yours.
We do not run your media and we do not sell your data.
Value optimization, platform by platform.
Meta value optimization
Value optimization beyond purchase, on profit margin, and on predicted lifetime value.
Learn moreGoogle value-based bidding
Values that reflect revenue, lead stage, new-customer worth, lifetime value, and margin, for Smart Bidding.
Learn moreTikTok Value-based Optimization
Payment values delivered through Events API so TikTok bids for higher-value buyers.
Learn moreSnap Value Optimization (beta)
Purchase values delivered through Snap CAPI for Snap's value-based delivery.
Learn morePinterest ROAS bidding
Checkout values delivered through the Pinterest API for Conversions for Performance+ ROAS bidding.
Learn moreMicrosoft Advertising value bidding
Conversion values for Maximize conversion value and target ROAS on Microsoft Advertising.
Learn moreWhich one fits.
| If this is you | Start with |
|---|---|
| Your first orders look alike but customers differ over time (subscriptions, repeat purchase, financial products). | Predicted lifetime value on Meta or Google. |
| You cannot optimize on purchase because it happens too late or rarely (long consideration, leads, deposits, registrations). | Meta non-purchase value optimization, or lead-stage values on Google. |
| Your baskets look similar but your margins do not. | Meta value optimization for profit, or margin values on Google. |
| You already send purchase values but bidding ignores them. | Value-based bidding on the platform where you spend most. |
How engagements run.
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Discover
Data sources, current conversion values, and platform eligibility checked against each platform's requirements.
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Scope
The value to send, where it comes from, and the test design agreed upfront, with a go or no-go on fit.
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Execute
Values wired onto the Signals delivery path and verified in each platform's diagnostics before any campaign relies on them.
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Measure and handover
Test against your current baseline, results read with you, documentation and an owner named on your side.
Related solutions.
NEXT STEP