Квак Артур 16.02.2026
Most often, budgets disappear not because of weak ads or poor targeting. The main reason is that the team tracks the wrong metrics or looks at them too late. Ads keep running, reports look convincing, but the business does not earn more.
An additional risk is low-quality traffic and fraud. According to Juniper Research, in 2023 online ad fraud accounted for around 22% of global spend (about $84B) and may exceed $170B by 2028. This means that if you do not control the basic KPIs, part of your spend can easily go to impressions and clicks that bring no real value to the business.

Below is a minimal KPI set that helps keep marketing aligned with business economics.
CAC = marketing spend / number of new customers.
This metric matters because it prevents you from hiding behind cheap leads that do not buy. If you have few new customers or they are unprofitable, CAC will show it immediately.
Payback shows how long it takes for profit to recover the cost of acquiring a customer.
A baseline benchmark for many small and mid-sized businesses is 3–6 months. For B2B with long sales cycles and high ticket sizes, payback can be longer, but then you need a clear calculation of margin and repeat revenue.
A convenient control metric: if LTV:CAC is low, ads may generate sales but not profit.
It is important to calculate margin-based LTV, not just revenue.
If a page converts poorly, increasing spend rarely helps. More often it increases costs without increasing sales.
For context: according to WordStream, average Google Ads conversion rates across aggregated benchmarks were about 6.96% in 2024 and 7.52% in 2025. This is not a universal norm, but it is a useful comparison point. If your search ad conversion rate is very low, it is worth checking offer-to-query match, page structure, and load speed.
At minimum, you need to see:
the share of MQLs that become SQLs,
the share of SQLs that become deals.
If you have many MQLs but few turn into SQLs, marketing is bringing people who do not fit your criteria. If SQLs often do not turn into deals, the problem may be the offer, pricing, communication, or qualification quality.
This is one of the most underestimated metrics. Research by MIT and InsideSales showed that when a company contacts a lead within 5 minutes, the probability of successful qualification is much higher than when responding after half an hour.
Practical minimum:
most leads during business hours receive first contact within 5–10 minutes,
for non-working hours, have a rule: an automated reply and fast follow-up at the start of the next business day.
Create a simple CRM category: a lead is rejected due to mismatch with criteria or suspected fake/spam submission. Then track:
rejected leads as a share of all leads,
acquisition cost not across all leads, but across those that actually moved forward.
This helps avoid distorting campaign economics and prevents the sales team from being overloaded with low-potential requests.
Ad platform dashboards may attribute conversions that would have happened even without ads. To understand the real contribution, you need control measurements.
Meta describes an approach where measurement accuracy is strengthened by experiments that estimate incremental effect.
A simplified option:
once per quarter, run a control: temporarily switch off ads for a small set of geographies or audiences and compare the difference.
If you need a short list without overload, this is enough:
CAC for new customers
CAC payback period
margin-based LTV:CAC
landing page or key-step conversion rate
MQL → SQL → deal
time to first contact
rejected lead rate
incremental effect control (or a simplified check)
Measuring success by clicks and impressions instead of unit economics.
Optimizing campaigns only for the cheapest lead without controlling quality and conversion into deals.
Not connecting ad data with CRM, which makes it impossible to see CAC and real conversion into sales.
Not controlling time to first contact, causing part of the leads to never reach a conversation.
Relying only on platform attribution and not checking the true incremental effect.
To avoid wasting budget, you do not need dozens of metrics. You need a minimal set of KPIs that shows:
whether acquisition economics work,
where conversion drops in the funnel,
whether the team is fast enough to handle inquiries,
whether ads create incremental sales instead of simply taking credit from other channels.