PERFORMANCE MARKETING AGENCY IN GURGAON FOR MEDIA BUYING THAT ANSWERS TO REVENUE

AB Media Co, and here is why.

We have run performance marketing for more than ten years, for 100+ brands, with ₹100 Cr+ of ad spend managed and ₹3,300 Cr+ in revenue generated for clients.

The difference shows in how we work. We plan from your margin, not from a platform’s suggested budget. We test creative at volume, dozens to hundreds of variations per account. We run the funnel after the click, so the landing page and the follow-up are ours to fix too. And we measure ROI from your sales data.

The results read the same way across categories: LPU’s cost per lead down 70%, Niramaya Soul’s monthly revenue up more than 10x, Soni Cosmetics’ monthly sales up 7x, 8PM by Radico Khaitan past 750K+ installs.

A senior person leads every account, and the first discovery call is on Google Meet. Take the free mini audit and judge us on what we find.

Performance marketing is advertising you pay for against a result you can count: an order, a qualified lead, an install. Google Ads, Meta ads and PPC on Microsoft or Amazon all count, when bought against that result. Media buying is the craft inside it, choosing where the ad runs, who sees it and what you pay for that moment.

Split them and nobody owns the revenue between the strategist and the buyer. We run them as one system because the result depends on both halves at once.

The strategy sets the cost per order your margin can carry. The media buying plan puts Google Search on people already looking, Meta and YouTube on people who will be, LinkedIn or Amazon where your customer lives. Creative testing finds the ads that work on each. Measurement feeds real purchases back to the platforms so their bidding improves. The funnel after the click turns the visit into revenue.

One team, one weekly ROI number, one person accountable. That is how performance marketing and media buying become the same job.

From your sales data first, and from the platform dashboards second.

Google, Meta and LinkedIn each claim credit with their own attribution windows, and adding them up always produces more sales than you made. So we start at the other end. Your store, CRM or sales sheet gives us real revenue by day, and we reconcile it against what the platforms report and against GA4.

We set up the Pixel and Conversions API on Meta, enhanced conversions and offline conversion imports on Google, and call tracking where the sale happens on a phone. When your CRM marks a lead as a customer, that outcome goes back to the platform, so bidding learns from revenue rather than from form fills. ISTD’s 3K+ qualified leads were measured that way, each against admissions revenue.

As Akshit Bhasin says, “book numbers and experiential numbers can be different, both should be plausible.” When the dashboard says 8x and your bank says 3x, we report the 3x.

At volume, on a schedule, and with a hypothesis behind every variation.

Creative is the biggest lever left in performance marketing. So each account we run has a structured testing program. We map the angles first: problem, objection, proof, offer. Then we produce variations across hooks, formats and lengths, dozens in the first month and hundreds over a quarter.

Every test has a rule for when it ends and what counts as a win, usually cost per order or qualified lead over a fixed spend, never clicks. Losers are cut on the schedule. Winners are scaled, then iterated into the next round, so the account keeps fresh creative ahead of fatigue.

A new ad angle gets a matching landing page, so the promise is the same on both sides of the click.

This is how we found the ads behind Soni Cosmetics’ 7x monthly sales and Meteamo’s 6x ROAS. Not by guessing. By testing.

In steps the platform can learn from, watching the marginal return, not the average.

Most budgets break on the way up because they are doubled overnight, which throws Meta ad sets back into the learning phase and pushes Google into audiences that never converted. We scale differently. Budget rises in increments the account can absorb, usually every few days, and only while cost per incremental order holds.

Before the increase, we widen the base: more winning creative, more audiences that have proved out, more conversion data flowing back through the Conversions API and offline imports.

We also know when a channel is saturating. When the next ₹1 lakh on Meta returns less than it would on YouTube or Google Shopping, the money moves.

Juhi Nanda’s brand could not hold 1x ROAS in slow months before we rebuilt the tracking and funnel beneath the ad account. Peak months now run at 6x, with no discounting needed.

Because that is where most ad budgets leak, and a media buyer who stops at the click is doing half the job.

A visitor lands on a page that loads slowly, asks for too much, or contradicts the ad. A lead comes in and waits a day for a reply. An order is placed and nobody writes to that customer again. Each is revenue you paid for and did not collect.

So we run the funnel after the click as part of the engagement. Landing pages built to match each ad angle. Store fixes that lift conversion rate. WhatsApp and CRM follow-up that replies in minutes and qualifies the lead. Email and retention flows that turn a first order into a repeat.

Niramaya Soul is the clearest case. We took its lead forms out and put a WhatsApp funnel in. Cost per lead fell by more than 85%, and monthly revenue grew more than 10x. The ads got cheaper because the funnel got better.

The first signals show in two to four weeks. A fair reading of the account takes a quarter, and the compounding starts after that.

Here is the sequence we run. Weeks one and two repair measurement and rebuild the account structure. Weeks three to six launch the first creative tests, and cost per order or qualified lead starts to settle as the platforms leave the learning phase. Months two and three scale what won and keep testing.

By the end of the quarter you know the cost per order each platform can deliver, and the next quarter is planned from that, not from a forecast. JIET, an institute, now gets 2K+ qualified leads cycle after cycle, with cost per lead down 40%.

The ecommerce brand whose Performance Max runs about 27x the industry norm got there because years of AI SEO built a warm audience and clean purchase data, not on day one. We tell you where your account sits on that curve.

Three things set it: your ad spend, the work needed to make that spend pay, and the 18% GST India adds to the platform invoices.

Ad spend is yours, billed by Google, Meta and the others to your own card, with your GSTIN on the account for input credit. We never mark up media.

Our part depends on scope: how many platforms you run, how much creative needs producing and testing each month, whether the landing pages, store and follow-up need rebuilding, and how much measurement has to be fixed first.

Start with the free mini audit. One of our senior people reviews your ad accounts personally and sends you the five to ten changes that would grow your revenue first. The complete audit is ₹30,000 to ₹80,000 depending on account and catalog size, adjusted against your first month.

We do not promise a ROAS before we have seen your margins. As Akshit Bhasin puts it, “no magic wand, and we don’t want quarrels.”

One report, from your sales data, with revenue and ROI at the top.

Under the headline sit cost per order or qualified lead by platform, spend against the plan, and the comparison with the month before. Then what we changed and why: which tests ended, what was scaled, where budget moved. Platform-reported numbers appear as a cross-check, never as the result.

Every figure is traceable to a source you can open yourself: your store, your CRM, GA4 or the ad account. That rule runs our own website too. As Akshit Bhasin says, every number must be “real and attributable”, because founders question things.

Where search is part of the plan we add Share of Decision: how often AI answers and Google name your brand when your customer asks what to buy.

You own the ad accounts, the pixels and the data. Our team works inside your Business Manager and your Google Ads account, with you as admin.

We start with your numbers, not the platform’s.

The first week is unit economics: margin per order or per qualified lead, payback period, the revenue target for the quarter, and customer lifetime value. From that we set a target cost per acquisition for each platform and a budget split across the funnel: demand capture on Google Search and Shopping, demand creation on Meta and YouTube, and LinkedIn, Amazon, Microsoft or ChatGPT ads where your customer is.

The second week is measurement and account structure, rebuilt so every rupee can be traced. Then the 90-day testing calendar: which angles, offers and audiences we test in which order, and what each test has to prove before it earns more budget.

The plan is written down, with the ROI we expect at 30, 60 and 90 days, and you approve it before we spend. This is the performance marketing strategy of a ten-year agency that has run ₹100 Cr+ of media.