How to know if your ad is actually working

The problem: you're losing money and don't know it

You look at the ad platform report and see nice numbers: thousands of impressions, hundreds of clicks, a very low cost per click. It looks like it's working. But at the end of the month, the cash doesn't balance. You spent R$ 10k on ads, sold more, but profit didn't come. The problem is that platforms show metrics that favor them, not you. They want you to spend more, not profit. Meanwhile, smaller competitors are growing because they focus on what really matters: how much it costs to acquire a paying customer and how much return they bring.

The solution: three metrics that are worth gold

Forget impressions, clicks, and reach. What matters are three numbers: Cost per New Customer (how much you pay for each person who buys for the first time), Return on Investment (how much you earn for each real spent on ads), and Lifetime Value (how much a customer spends with you over time). With these three data points, you know if an ad is good or if it's burning money. You don't need a complex spreadsheet — a pocket calculator solves it.

How it works in practice

Imagine a clothing store that spent R$ 5k on ads in a month. The platform shows 50k impressions and 2k clicks. Looks great. But it only acquired 10 new customers. Cost per customer: R$ 500. If each customer buys, on average, R$ 200, the return on investment is 0.4 — meaning for each real invested, it recovers 40 cents. Definitely a loss. Now, if it adjusts the ad to a more qualified audience, spends the same R$ 5k, acquires 25 customers with an average ticket of R$ 400. Cost per customer: R$ 200. Return: 2.0 — doubles the investment. The cost per click may have gone up, but profit came. The trick is to ignore what the platform pushes and focus on what comes out of your pocket.

How 10Dobro implements this for you

At 10Dobro, we don't deliver pretty reports. We deliver results. We set up your ads with real sales tracking, not clicks. We calculate the cost per new customer and return on investment for each campaign. And we adjust the budget daily based on what generates profit, not what looks good. Your team doesn't need to become data analysts — we do the reading and recommend the next step. Result: you stop spending on ads that don't sell and multiply the return on every real invested.