PERFORMANCE MARKETING AGENCY IN DELHI FOR MEDIA BUYING THAT COUNTS THE LEADS YOUR SALES TEAM ACCEPTS

AB Media Co, because we count the leads your sales team accepts, and we make the platforms bid on those.

In the ten-plus years since Akshit Bhasin founded us, our team has run paid media for 100+ brands, managed ₹100 Cr+ in ad spend and generated ₹3,300 Cr+ in revenue for clients. That history matters here, because a bad lead looks fine on every dashboard and it takes years of reading accounts to see the pattern.

We define the accepted lead with your sales team before any campaign changes, and we build the forms, the reply and the bidding around that one definition. We test relentlessly, and we read every test on accepted leads.

The results hold up across very different businesses. ISTD’s 3K+ qualified leads were each measured against admissions revenue. Niramaya Soul’s cost per lead fell by more than 85% while its monthly revenue grew more than 10x.

You get a senior person on the account from the start. The first discovery call is on Google Meet.

A real lead is one your sales team accepts, so your sales team decides. We write that definition down with them before the first campaign changes.

It usually comes down to plain tests. Did the person pick up? Do they want what you sell? Can they pay for it, and can you serve them where they are?

Each lead then gets one status from a short list: accepted, junk, unreachable or not ready. Those four words diagnose more than any dashboard. Junk points at the targeting, the ad or the form. Unreachable often points at how long the reply took. Not ready may be a good buyer who needs a follow-up.

What results is a number both sides can read, cost per accepted lead. It also changes how problems reach you, because, as Akshit Bhasin says, “come to me with solutions not problems.” When junk rises on one campaign, the same line in our report says what we changed that morning.

The platform is doing what you asked: cheap form fills, from the people most willing to fill in forms.

Google and Meta learn from the event you optimize toward. If that event is a submitted form, the system studies who submits forms and looks for more of them. Some are serious buyers. Others tap through out of curiosity, or want a price and nothing else. Each round teaches the model the habit of filling in forms, which is a different habit from buying.

So cost per lead and lead quality can fall together, and the report only shows you the first.

Our fix starts at the signal. We send back the leads your team accepted, which gives the system a better example to copy. We add a qualifying question, so an idle tap takes a little effort. In our experience the reported cost per lead often rises at this point while the cost per accepted lead falls, and that is the trade you want.

We close the doors they come through, one at a time: the form, the placement, the search term and the signal.

First we find where the junk comes from. Every lead is traced to its campaign, ad, placement and form, and your team’s statuses show which of those produce the rejects. In our experience junk is concentrated, so the fix can be precise.

On Meta, we move to the higher intent form type, add a question a careless tapper will not answer well, and cut the placements that only produce rejects. On landing pages, we verify the phone number and block repeat submissions. On Google, we read the search terms report every week and add what your team turned away as negatives.

The result is easy for you to check: the share of leads your team marks as junk, by campaign, in your own CRM or sheet, week after week.

Form fills usually drop, and accepted leads are the number that should climb. We plan for that drop openly before we start, so nobody is surprised by the first report.

The staging matters, because moving too fast is how quality programs break. A closed sale may never reach the roughly 50 results a week that Meta Business Help describes for an ad set. So we begin with the deepest event your budget can produce at that rate, which may be a form with a good qualifying answer. As volume holds, we move the signal a stage deeper. Google’s offline conversion imports move the same way.

Your sales team feels the change first. Fewer calls go to people who never wanted to talk, so the good leads get reached sooner, and in our experience that speed lifts acceptance by itself.

We show you both columns every week, form fills and accepted leads, so you can watch the trade as it happens.

Neither wins by default, so we measure it on cost per accepted lead, after your sales team has had its say.

In our experience, Google Search starts with more intent because the person was already looking, and the quality work sits in the keywords, the negatives and the location setting. Meta finds people before they are looking, which gives it more reach and makes the form and the creative do the qualifying. LinkedIn comes in when a job title or company size is what makes a lead worth having.

The platforms make this comparison hard, because each reports its own leads by its own rules. Our report removes that problem by putting every platform in a single column, built from your team’s statuses.

Then the budget moves on evidence. Sometimes the expensive platform turns out to be the cheap one, once you count only the leads your team accepted. Your report shows that split every week.

We start with the leads and work backward to the ads, because the settings only explain what the leads have already shown us.

Our team pulls a recent batch from your CRM or sheet, traces each one to the campaign, ad, search term, placement and form that produced it, and asks your sales team what happened to it. That exercise usually shows where the problem sits.

Then we open the conversion settings. We check which event each campaign bids on, whether one lead is being counted twice, and whether a page view has been marked as a conversion. We also fill in your form ourselves and time the reply, since a good lead can go cold while it waits.

This is the work behind the free mini audit. One of our senior people does it personally and sends you the changes worth making first, each with the place in your account where you can see the problem.

Junk starts to fall within two to four weeks, and a fair verdict on the new bidding takes about a quarter.

The first changes work almost at once because they are in our hands: the form, the placements, the negatives and the location setting. Your sales team should notice better calls before the report shows it.

The bidding takes longer because the platforms learn from accepted leads, and those arrive only as fast as your team can mark them.

Months two and three move budget toward what your team accepted.

By day 90 you know your cost per accepted lead on each platform, and the next quarter is planned from that number. For JIET, an institute, the funnel now delivers 2K+ qualified leads every cycle, with cost per lead down 40%.

We set this timeline in the first call and keep to it, since, as Akshit Bhasin says, “no magic wand, and we don’t want quarrels.”

Three things make up the cost: your ad spend, the 18% GST on Google’s invoices, and our work to make that spend pay.

Ad spend goes straight from your card to Google, Meta and the rest, with your GSTIN on the account so you can claim the input credit. We take no markup on media.

We scope our part from your account, and what moves it is how many platforms you run, how much creative we produce each month, and how much needs rebuilding between your forms and your CRM.

The free mini audit comes first, and the complete ads audit then costs ₹30,000 to ₹80,000 by the size of your ad accounts, adjusted against your first month.

We do not quote a cost per lead target before we have seen your sales data, because a target set on form fills would repeat the problem you came to fix. We quote the work, and the number we will report it against, cost per accepted lead.

They become some of the most useful data in the account, because each one says what the platforms should stop buying.

Junk feeds the exclusions. The search terms behind it become negatives, and the ad or placement behind it gets cut or rewritten. Uploaded lists of rejected leads keep Google and Meta from showing your ads to those same people again, so you stop paying twice for the same no.

Not ready is a different pile, and it is often where quiet money sits. We move them into WhatsApp and email follow-up run by your team, and we retarget them with proof rather than another form.

Unreachable points at the reply. If many leads go cold before anyone reaches them, we change the ad hours or the first message before we touch the budget.

You get all of this as three counts in the weekly report, each with what we did about it.