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Ad governance and BI

Ad governance reconciles each order with its real source and changes ad accounts only under an approved plan, so spend is judged by cash, not platform reports.

The method at a glance

How the system works

What it does, in order, and what it never does.

The method, step by step Each step comes from the method described below. The highlighted one is where a person decides or a check validates.
  1. Connect every order to its real origin
  2. Measure each channel against the same cash
  3. Show the reconciled picture to those who decide
  4. Change accounts only under an approved plan

Connections

  • Connect every order to its real origin → Measure each channel against the same cash
  • Measure each channel against the same cash → Show the reconciled picture to those who decide
  • Show the reconciled picture to those who decide → Change accounts only under an approved plan

What the system never does

  • It never changes an ad account outside an approved plan.
  • It never reports a platform's own claim as the result. Return is measured against the same cash.
  • It never counts an order twice or leaves it without a source when the source can be traced.
  • It never presents a channel comparison as a forecast. It is a measured result for a defined window.

KINTO builds this for companies that spend on Meta, Google or both and cannot tell how much of what the platforms claim is true.

The problem

In a sports e-commerce case, nobody knew how much of what the ad platforms claimed was true. The brand sold on the web and mostly over WhatsApp, so an order often arrived through a chat and not through a tracked click. Platform dashboards cannot see that, and each one takes credit for what it can.

The result is spend decided on numbers that do not match the cash register.

How KINTO approaches it

KINTO connects every order to its real origin, then measures each channel’s return against the same cash. In the sports e-commerce case, 100% of orders in the window, hundreds of them, were reconciled with their source. The comparison showed one channel returning about twice as much as the other.

Operations follow a rule: the ad governor changes accounts only under an approved plan. A commercial intelligence tab shows the reconciled picture to the people who decide.

On the acquisition side, KINTO also instruments the funnel end to end: in the study-abroad case every WhatsApp click on the site was tracked as a conversion tied to the agency’s ad spend.

What the system never does

  • It never changes an ad account outside an approved plan.
  • It never reports a platform’s own claim as the result. Return is measured against the same cash.
  • It never counts an order twice or leaves it without a source when the source can be traced.
  • It never presents a channel comparison as a forecast. It is a measured result for a defined window.

Who it is for

Companies that sell through a mix of web, chat and phone, spend on at least two ad channels, and need one version of the truth between ad reports and money in the bank. KINTO states what remains open in each case: for example, ad-spend savings in absolute terms are not yet quantified in the sports e-commerce case.

Case studies

Case studies that prove it

Insights

Related insights

Frequently asked questions
Why do ad platform numbers not match my sales?

Each platform reports the conversions it claims, and several can claim the same order. KINTO reconciles orders with their real source: in a sports e-commerce case, 100% of orders in the window were reconciled, and one channel turned out to return about twice as much as the other when measured against the same cash.

What does an ad governor do?

It operates ad accounts under rules. In the sports e-commerce case, the governor changes things only under an approved plan, so spend moves when a person has accepted the reasoning. A rule that changes happen only under a plan is what keeps accounts from being disrupted by careless automated edits.

Can you tell which channel really returns more?

Yes, if every order is traced to a source and return is measured against the same cash. In the sports e-commerce case, that comparison showed one ad channel returning about twice as much as the other. KINTO reports this figure as measured, not as a forecast.

Do I need a data warehouse to start?

The cases did not begin with one. In the sports e-commerce case, KINTO added a commercial intelligence tab and a reconciliation of orders with their source on top of the store's data. In the study-abroad case, every WhatsApp click was tracked as a conversion for the ad spend.

What do you not know yet about ad results?

KINTO states limits in each case. In the sports e-commerce case, ad-spend savings in absolute terms and the agent's effect isolated from seasonality are still unknown. The study-abroad agency's later traffic, leads and sales have no evidence. Reporting these gaps keeps the measured results believable.

Have a problem like this?

Tell KINTO what is going on. The first conversation is to understand it, not to sell.