Revenue, cleaned.
Real transaction values on every purchase action, server-side and matched with Enhanced Conversions, with offline and CRM sales included and double counting removed.
SOLUTIONS / VALUE OPTIMIZATION
Smart Bidding can only chase the value it can see. Datahash makes sure every Google Ads conversion carries a value that reflects revenue, lead stage, new-customer worth, predicted lifetime value, or margin, so Search, Performance Max, and YouTube spend toward the conversions that pay. Datahash is Google Marketing Platform Certified and a selected Google Implementation Partner (EMEA).
WHEN THIS IS YOU
Real transaction values on every purchase action, server-side and matched with Enhanced Conversions, with offline and CRM sales included and double counting removed.
Qualified, opportunity, and closed stages from your CRM, each priced by how often it turns into revenue, sent through Enhanced Conversions for Leads. The stage pipeline itself is our ECL service; this page covers the values and bidding on top of it.
Google's new customer acquisition goal lets bidding value a new customer above a returning one, or bid only for new customers. It relies on Google knowing who your existing customers are, which is where first-party customer lists and Customer Match come in.
Google bids on whatever value you report, so a predicted lifetime value can stand in for first-order value on acquisition conversions, pairing naturally with the new customer goal.
Send the margin an order earns instead of its revenue and value-based bidding optimizes toward profit on ad spend. It pays off when margins vary widely across your catalogue.
Audits current conversion values: which actions carry real values, which carry defaults, and where the same conversion is counted twice across GA4 imports, the Ads tag, and offline uploads.
Brings the right value from your CRM, order system, ERP, or warehouse onto conversions delivered through Signals to Google Ads.
Keeps your existing-customer lists current so the new customer acquisition goal can tell new from returning.
Designs the bidding test with your media team or agency, and verifies every value in Google Ads diagnostics before bidding uses it.
Illustrative. No client numbers.
Conversion actions, value sources, customer lists, and bidding strategies reviewed; double counting and missing values identified.
Which values to send from which source, which goals to use, and the test plan, agreed upfront with a go or no-go on fit.
Values delivered through Signals and verified in Google Ads diagnostics before any bidding change goes live.
Results read against the pre-change baseline with your media team, documentation handed over, owner named.
IN ONE SENTENCE
Value-based bidding is a Google Ads Smart Bidding approach, using strategies such as Maximize conversion value and target ROAS, that sets bids according to the value each conversion is expected to bring rather than the number of conversions.
Target ROAS is one of the bidding strategies that uses conversion values; Maximize conversion value is the other. Both depend on the values you report. This solution makes those values accurate and meaningful, so whichever value strategy your media team runs has the right thing to optimize toward.
Yes. Lead-gen accounts assign values to lead stages based on how often each stage turns into revenue, and send the stages back from the CRM through Enhanced Conversions for Leads. Once the values reflect your economics, bidding can trade ten cheap unqualified leads for three that close.
The new customer acquisition goal uses your first-party customer data, typically a customer list shared through Customer Match, alongside Google's own signals. The fresher and more complete that list, the better Google separates new from returning customers, which is why we keep it synced from your source of truth.
Yes. Value-based bidding optimizes toward whatever value you report, so reporting margin instead of revenue turns target ROAS into a profit target. It changes decisions only when margins vary across products, so we check your catalogue's spread before recommending it.
Any change to what bidding optimizes toward needs a learning period, so changes are staged. Values are verified in Google Ads diagnostics before bidding uses them, and bidding changes are tested against a baseline, campaign by campaign, instead of switched account-wide on day one.
Your team or your agency. Datahash does not run media. We make sure the values Google sees are accurate and complete, and we work with whoever owns bidding on the test design, the rollout order, and reading the results together.
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