Hiring an agency is the easy part. The hard part starts a month later, when a slide deck lands in your inbox full of impressions and reach, and you still cannot answer the only question that matters: is this working? I have sat on both sides of that report, and I want to give you a way to judge an agency that does not rely on trust.

This is the companion to choosing an agency. Once you have picked one, you need a method to check up on it. The good news is that the method is not complicated. You separate the numbers that look like progress from the numbers that are progress, and you hold the agency to the second list.

If you have not picked an agency yet, start with how to choose a B2B Meta ads agency in India. If you already have one, read on.

Most reports are built to make the agency look busy, not to help you make a decision. They lead with impressions, reach, and clicks because those numbers always go up when spend goes up. A report can show a beautiful upward chart while your bank balance does the opposite.

The honest definition of a vanity metric is a number that does not inform any action. If reach doubling would not change a single thing you do next week, reach is a vanity metric for you. Impressions, raw clicks, likes, and follower counts almost always fall into that bucket for a business owner trying to grow revenue.

This matters more in B2B than people think. Your buyers spend most of their journey researching on their own before they ever talk to your sales team, so surface activity tells you very little about whether real buyers are moving toward you. You need metrics that follow the lead all the way to the sale.

Split the metrics into two groups. Leading indicators tell you what is happening now and let you steer early. Lagging indicators tell you whether the steering worked, and they are the ones that map to money.

Leading indicators worth tracking: qualified leads (not raw leads), cost per qualified lead, and lead quality as judged by your sales team. Raw cost per lead is a trap on its own. A cheap lead that never buys costs you more than an expensive lead that closes. I wrote about that distinction in detail in qualified leads versus cost per lead.

Lagging indicators worth tracking: pipeline created, customers won, lead-to-customer rate, customer acquisition cost (CAC), and return on investment. These are slower to move, but they are the truth. An agency that only ever reports leading indicators is avoiding the scoreboard that counts.

For a sense of what healthy numbers look like in your market, our B2B lead generation benchmarks for India give you reference points so you are not judging in a vacuum.

The link between an ad and a sale lives in your CRM, not in the ad platform. Without a feedback loop, the agency optimises toward whatever the platform counts as a conversion, which is usually a form fill. That is how you end up with thousands of cheap leads and an empty sales pipeline.

The fix is to send sales outcomes back into your reporting. When the agency knows which leads became qualified and which became customers, it can optimise toward buyers instead of form fills. This closed loop is also where the returns sit. We build this for clients through our CRM tracking and nurture service, and the mechanics are covered in CRM-based optimization for B2B Meta ads.

If your agency tells you closed-loop tracking is not possible or not worth it, treat that as a warning. It is the single highest-leverage thing you can set up, because it turns every future report from an opinion into a measurement.

In the first 90 days, review weekly. This is when the account is learning and when most of the meaningful decisions get made, so you want to catch a wrong turn within days, not weeks. The weekly review should look at spend pacing, lead volume, cost per qualified lead, and any creative that is clearly winning or losing.

After the account stabilises, shift to a monthly deep review with a short weekly pulse. The monthly review is where you examine the lagging indicators: pipeline created, customers won, CAC, and ROI against the target you agreed at the start. The weekly pulse just confirms nothing has broken.

Whatever the cadence, the structure should stay the same. What did we spend, what did we get that maps to revenue, what are we changing next, and why. If a review never produces a decision, it is a status update, not a review.

Set expectations by phase, because a campaign that is punished for not being profitable in week two never gets the data it needs to become profitable. Days 1 to 30 are setup and learning: tracking goes live, creative gets tested, and the platform gathers signal. Lead cost will be volatile and that is normal.

Days 31 to 60 are where lead volume and cost per lead should start to settle into a range. You are not judging profit yet, but you should see the account finding its feet and the obviously weak creative getting cut.

Days 61 to 90 are your first real checkpoint. By now you should be able to judge lead quality with input from sales, see early pipeline forming, and have a defensible read on cost per qualified lead. Early results, not miracles. If 90 days produce no qualified pipeline and no clear plan to improve it, that is a real conversation to have.

A few patterns reliably signal an agency hiding behind vanity numbers. The report leads with impressions and reach. Spend goes up every month but qualified leads do not. The agency cannot or will not tell you which leads became customers. Reports arrive late or only after you ask.

Other warning signs: every metric is framed as a win even when revenue is flat, the account has no clear testing plan, and questions about cost per qualified lead get answered with cost per click. For a fuller list specific to ad agencies, see Meta ads agency red flags.

None of these alone is proof of a bad agency. Several together, three months in, is your signal to ask harder questions or get an outside read on the account.

The case for a CRM feedback loop is not just intuition. Nucleus Research found that CRM returns an average of 3.10 US dollars for every dollar spent, based on case studies analysed over a decade, though it notes that return has declined from 4.90 dollars as systems grew more complex. That return only shows up when the loop is actually closed and used.

Better attribution moves the needle too. Google reports that advertisers who switch to data-driven attribution from another model typically see a 6 percent average increase in conversions, simply by counting the right touchpoints.

And the reason surface metrics mislead in B2B is structural. Gartner finds that B2B buyers spend only about 17 percent of their entire purchase journey meeting with all potential suppliers combined, and far less with any single one. Most of the buying happens out of your sight, which is exactly why you have to measure outcomes, not activity. These are US and global figures, but the direction holds in India too.

“Judge an agency on the numbers that change what you do next. Everything else is decoration.”

You can see how we report against these standards on our results page.

You do not need a new tool to start. Pull your last agency report and run it through five questions. Does it lead with a revenue or pipeline number rather than impressions? Does it show qualified leads and cost per qualified lead, not just raw leads? Can the agency tell you how many leads became customers?

Then two more. Is there a clear decision coming out of the report about what changes next? And is closed-loop tracking from your CRM actually in place? If you answer no to three or more of these, you have found your next conversation with the agency.

If you want a second opinion on what your numbers are really saying, that is exactly what our free audit is for.