How much was spent?
See total spend by platform, campaign, ad group, ad set, advert, keyword or search term, depending on the platform.
Understand where the budget went, what the platforms say it produced and where attribution or tracking may make the picture less certain.
Useful transparency connects advertising activity to commercial questions and makes uncertainty visible rather than hiding it in footnotes.
See total spend by platform, campaign, ad group, ad set, advert, keyword or search term, depending on the platform.
See platform-reported sales, leads and conversion value while keeping those claims separate from confirmed business revenue.
Understand whether a small number of campaigns, adverts or searches received a disproportionate share of spend.
Highlight spend without a tracked result, declining efficiency, expensive clicks, repeated exposure and unusual campaign settings.
Show the amount of data available, missing fields, tracking concerns, stale synchronisations and attribution limitations.
Separate urgent questions from activity that should be observed for longer before any decision is made.
A platform can report that an advert influenced a sale. That does not prove the advert was the only cause, that the order was profitable or that another platform did not claim the same conversion.
AdSpend Lens should always label these figures as tracked or platform-reported value. Later integrations with ecommerce, CRM or accounting data can help compare attributed results with verified outcomes.
Why platforms can claim the same sale →The campaigns spent substantially more than the account’s typical cost to generate a tracked purchase. This warrants investigation but does not prove the campaigns have no awareness or assisted-conversion value.
“What is each campaign intended to achieve, and which result is being used to decide whether it should continue?”
AdSpend Lens should surface technical issues in language a business owner can use, rather than burying them in a settings screen.
AdSpend Lens combines clear spend visibility with attribution warnings, data-quality checks and the evidence behind every finding.