We’ve managed ₹50L+ in ad spends across Google, Meta & YouTube. Every rupee tracked to revenue, not reach.
Trusted by brands in education, fintech, real estate & ecommerce
There’s a difference between a campaign that performs on a dashboard and one your finance team would recognize. Each result below tracks to customer acquisition cost and downstream revenue, not to reach or spend efficiency.
The problem wasn’t the budget. It was the funnel. Missing remarketing, weak audience structure, and creatives that weren’t matched to buyer intent. Once we fixed those, CPL dropped 26% on Meta within two weeks.
The CPL was already low. The CAC wasn’t. We pulled spend back to BOFU keywords only, rebuilt the landing pages around EEAT trust signals, and added WhatsApp drip for every lead. Their customer acquisition cost dropped.
The brief was simple: more footfall from within the store’s vicinity. Hyperlocal Meta campaigns targeted women within a 5 km radius, rotated a new offer every week, and sent every click directly to WhatsApp. First week revenue: ₹50,000.
Your buyers are online. We find them where they’re deciding.
Tell us what you’re optimizing toward. We’ll map where the budget should go first.
Find Out Through Our Successful Perf Marketing Projects
Ran Meta Ads targeting women within a 5 km radius of the store, rotated a new offer every week to keep the feed fresh, and set every CTA to drop the user directly into WhatsApp rather than a landing page.
Vardhaman Beauty Shop
The core challenge wasn’t to fetch leads from parents, but to get parents to pay for the demo/trial class. That too, for a startup. Only 2 edtech giants did this; no one else. We still succeeded to main a health CPL.
SISYA
Class
After 3 months of rising CPLs, we overhauled the account by adding pixel-based lookalikes, full remarketing, and objection-handling PAS creatives. Within 15 days, CPL dropped 26%. We fixed the funnel, not the budget.
IMS
Proschool
This is not a sales call. It’s a structured conversation where we understand your business – what’s worked, what hasn’t, what’s on the table, and what keeps you up at night. We come prepared with questions. You leave with clarity.
We go through everything – your ad accounts, SEO data, social media channels, ecommerce performance, CRM data and competitive landscape. Not surface-level. Not automated. Our team reviews your actual numbers so we know exactly what we’re working with before we say a word about strategy.
No copy-paste frameworks. No industry templates. Based on the audit, we build a strategy specific to your brand, your audience, and your goals. Two clients won’t get the same plan, because they’re not the same business.
We get on a call and present the full strategy, the reasoning behind every recommendation, the channels we’ve chosen, the ones we’ve ruled out, and the plan to hit your goals. You get to ask every possible question.
Once aligned, execution begins. Setup, tracking, timelines, and a clear point of contact, all in place from day one. No ambiguity about who owns what
A name like Manipal University already gets searched for directly, so the job is being found, not introduced.
A growing network like ITM Group is still earning that same recognition, so the job starts a step earlier. Two institutions, two different starting lines, the same finish line.
Course discovery in edtech moves fast across search, ads, and YouTube at once, and most brands just need to run all three well.
Every so often, the real problem is upstream: leads going in and quietly disappearing before anyone notices.
We’ve learned to check the pipe before reaching for more spend.
A trading platform earns belief through long, patient explanation, which is why video does more work than any ad in that category.
A personal finance brand answers a quieter, more searching kind of question, which is why a place like Quora matters as much as a search ranking. Same industry, different nervous systems.
Amazon rewards different signals than Flipkart, and both reward different signals than your own website, so scaling all three at once means refusing to treat them as one channel.
Sometimes the real starting point is even earlier than that: a website that’s actually built to convert in the first place.
In a small, expensive micro-market, every rupee of media has to land with precision; that part is its own discipline.
But the bigger lesson real estate has taught us is that reputation often outweighs the media plan, and it has to work twice: once for the people buying, once for the people you’re trying to hire.
An AI-run news site can publish at a volume no human team could match, and that exact strength is what triggered a Google penalty severe enough to erase its visibility overnight.
Recovering meant understanding the automation well enough to rebuild trust in it, not just patch the symptoms.
We are the agency built for serious brands and measurable results.
A modern problem-solving agency built for brands that demand more, where strategy, creativity, and results converge.
Not just marketers – your extended
growth team.
Creative
Bold
Revenue-Driven
Strategy-First
More budget into a broken funnel just burns money faster. The underlying problem does not change because the spend number did.
If your current ₹1 lakh is producing poor leads, ₹5 lakh in the same setup produces five times as many poor leads at five times the cost.
Scaling should happen after the unit economics make sense, not as the strategy to make them make sense.
You don’t compete with large brands by matching their spend.
You compete by being more precise about who you’re targeting and at what stage of their purchase decision.
A ₹50,000 budget aimed at BOFU buyers with strong purchase intent can outperform a ₹5 lakh budget spread across broad awareness audiences.
Smaller budgets require tighter discipline, not a different channel.
Scaling is not multiplication. Ad platforms behave differently at different spend levels.
CPMs rise as you exhaust the most cost-efficient segments of your audience, and bidding dynamics shift as you go wider.
What converted cleanly at ₹1 lakh often needs a restructured campaign architecture at ₹5 lakh.
Brands that scale budgets without scaling their strategy tend to hit a ceiling quickly and blame the channel for it.
This is mostly true for pure paid channels, but the full picture is more useful.
Well-structured remarketing audiences, customer databases, and the brand familiarity built through repeated exposure don’t disappear when a campaign pauses.
Brands that treat performance marketing purely as a tap tend to never build those assets in the first place.
Pausing a mature, well-structured campaign is not the same as starting from scratch.
CTR tells you how many people clicked the ad. It says nothing about what happened after.
A 5% CTR with a 0.2% landing page conversion rate is a leak, not a win.
The only metrics worth optimizing toward are downstream: cost per qualified lead, customer acquisition cost, and revenue generated.
Everything upstream is a proxy at best.
Not if the leads don’t close. A ₹100 CPL looks attractive until your sales team reports that most of those leads are wrong location, wrong intent, or too far from a purchase decision.
CPL needs to be read alongside lead quality, sales conversion rate, and CAC.
Low CPL with high CAC means the funnel is broken somewhere between the form fill and the close, and dropping CPL further will not fix that.
For most B2B and high-ticket brands, the majority of revenue does not convert in the same session as the click.
Someone clicks a Google ad, fills a form, speaks with sales three days later, and signs a contract three weeks after that.
If your measurement only captures the click and the form fill, you’re attributing zero revenue to the campaign that started the conversation.
Offline conversion tracking exists for exactly this.
Brands that ignore it end up cutting campaigns that are working because the dashboard says otherwise.
Reach that doesn’t include your buyer is impression budget wasted.
Broader targeting often lowers CPM while increasing the share of spend that lands in front of people who will never buy.
Tighter, intent-based targeting usually costs more per impression.
It also tends to produce leads that don’t waste your sales team’s time.
The platform delivers the impression. The conversion problem is almost always somewhere else.
The offer isn’t compelling, the landing page doesn’t match the ad’s promise, the targeting is reaching people too early in their purchase journey, or the creative is saying the wrong thing to the right person.
Blaming the platform just delays finding the real problem.
Competitors using a platform tells you it works for their funnel, their offer, and their buyer journey.
None of that is guaranteed to carry over to yours. The more useful question is where your buyer is actively looking for what you sell.
That’s where the budget should go, regardless of what your competitors are running.
Production quality affects perceived trust, not conversion rate on its own.
A high-production brand film can underperform a phone-shot testimonial video if the testimonial says what the buyer actually needs to hear.
In direct response contexts, message-market fit and creative relevance outweigh visual finish.
Polish the message before polishing the video.
The headline earns the next line. The body earns the click. The landing page earns the lead.
A strong headline connected to a weak offer or a confusing post-click experience still converts at near zero.
Conversion is a chain. A catchy headline is the first link, not a substitute for the rest of it.
More traffic through a funnel with a 0.5% conversion rate produces more of the same problem at higher volume.
Before running a traffic scaling campaign, the question worth asking is: why is the current traffic not converting?
A landing page audit or conversion rate fix almost always has a higher return than an additional traffic campaign, and costs less to run.
Month one is almost always a learning period. Algorithms need data to optimize toward the right signal.
Audiences need to be segmented, tested, and narrowed. Creative variants need comparison over real volume.
Expecting full campaign performance in the first 30 days is like expecting a new salesperson to hit quota before completing their first full month.
Categories with longer consideration cycles often take 60 to 90 days to stabilize.
That’s not a failure; it’s how the channel works.
AI bidding optimizes for the signal it’s given.
If that signal is wrong, such as optimizing for form fills when you should be tracking qualified leads, the AI gets better at delivering the wrong outcome faster.
Human oversight sets the strategy, corrects the optimization signal, and catches performance drift that automated systems don’t flag on their own.
AI is a useful tool inside a managed campaign. It is not the campaign itself.
It can amplify reach. It cannot manufacture desire that isn’t there.
If the core offer isn’t solving a real problem at a price the market accepts, performance marketing accelerates the rate at which that feedback arrives.
Brands learn this lesson expensively.
Discounts attract buyers who are optimizing for price.
Those buyers tend to have lower lifetime value, higher return rates, and weaker brand loyalty than buyers who converted on the strength of the offer.
If your conversion rate only responds to price cuts, the underlying problem is usually a trust or relevance gap, not a price gap.
Discounts paper over that gap without closing it.
Brand is what makes performance marketing cheaper over time.
Brands with strong recall and clear positioning consistently see lower CPLs and higher conversion rates than unknown brands running the same ads to the same audiences.
Performance campaigns that ignore brand build a customer acquisition cost problem they’ll eventually need to solve anyway.
Treating them as separate budgets, separate teams, or separate goals is where that problem starts.
Meta works well for D2C, particularly for impulse purchases and repeat-buy products.
But Google Shopping captures high-intent buyers who already know exactly what they want, and those are often the easiest conversions in a D2C funnel.
D2C brands that rely on a single channel tend to plateau faster and pay more for each subsequent customer as their primary audience saturates.
ROAS tells you the revenue multiple on your ad spend. It doesn’t tell you whether that revenue is profitable.
A 4x ROAS on a product with 20% margins after shipping and returns might be a net loss.
Anchor ecommerce performance marketing to contribution margin and LTV, not ROAS alone.
Some of the best-looking ROAS numbers sit on quietly unprofitable campaigns.
Demos are a mid-funnel metric. The goal is paying customers at a CAC that makes sense relative to LTV.
SaaS performance marketing needs to track what happens after the demo: show rate, trial conversion, paid conversion, and early churn in the first 90 days.
Optimizing purely for demo volume fills the CRM with leads that never close and makes the campaign look better than it is.
A developer sitting on 200 leads a month with a 1% site visit rate isn’t growing. Lead volume is the starting metric, not the end goal.
The right frame for real estate campaigns is cost per site visit and cost per booking, with tracking across the full journey from ad click to token amount collected.
Without that, high lead volume is just a cost centre.
B2B scales differently than B2C, not slower as a rule. The constraints are audience size and purchase cycle length.
LinkedIn targeting reaches decision-makers by role, seniority, and company size with a precision that most B2C channels can’t match.
Google captures in-market buyers who are actively comparing solutions.
What B2B campaigns require is patience with the timeline between click and close, not an acceptance that the ceiling is low.
Retail brands that only run campaigns during discount periods train their audience to wait for the next one.
Running ads outside peak periods builds brand preference and captures buyers who weren’t in-market during the last sale window.
There is also a cost argument: peak periods drive up auction competition, which means you pay more per impression precisely when your margin is already compressed by the offer.
Off-peak campaigns tend to be cheaper and less competed.
Influencer-style creatives work well at the discovery and consideration stage.
But fashion buyers making purchase decisions also respond to product-specific information: clear imagery, fit and sizing guidance, return policy confidence, and reviews from people who actually bought and wore the item.
A creative strategy built entirely around aspiration misses the practical questions that prevent the purchase.
The mechanics are completely different. Ecommerce campaigns optimize for purchase events, cart abandonment behavior, and product views.
Lead-gen campaigns optimize for form fills, call intent, or offline conversion events that happen days or weeks after the initial click.
The bidding strategy, landing page structure, attribution model, and creative format all change depending on which business model you’re running.
Using an ecommerce framework for a lead-gen campaign is one of the more common reasons lead-gen campaigns underperform, and the reverse is equally true.
Can’t find the answers you need?
We’re here to help with any questions you have!
A digital marketing agency typically covers a broad range of services: SEO, content, social media, and paid ads.
A performance marketing agency focuses specifically on paid channels where every rupee spent can be tracked to an outcome, whether that’s a lead, a sale, a call, or a booked appointment.
The distinction matters because the skillset, the measurement framework, and the optimization logic are different.
At Story Stitchers, we run performance marketing as part of a revenue strategy, not as a standalone ad management service.
We run campaigns across Google Ads, Meta, LinkedIn, and YouTube. We also work on other platforms where the business case is clear, such as Quora for high-intent content categories.
Platform selection is always driven by where your buyer actually is and what stage of their purchase decision they’re in, not by what we’re most familiar with or what your competitors happen to be running.
Most agencies start by recommending platforms. We start by diagnosing the funnel.
Before we touch a campaign, we want to understand your current CPL, CAC, lead quality, and where the funnel is leaking.
That diagnosis shapes the strategy.
Yes. B2B campaigns require a different framework than B2C, particularly around targeting precision, funnel length, and how you measure success.
For most B2B clients, LinkedIn is the primary channel for top-of-funnel reach, supported by Google for in-market intent capture.
We track beyond lead volume to what actually matters downstream: qualified meeting rate, pipeline contribution, and CAC relative to LTV.
Yes. For D2C brands, we build campaigns around contribution margin and repeat purchase behavior rather than ROAS alone.
We manage both acquisition and retention campaigns and track the full customer journey from first touch to second order, because the economics of D2C rarely work on first-purchase ROAS alone.
Yes. SaaS campaigns require conversion tracking that goes well beyond what most paid setups capture by default.
We configure tracking to measure trial starts, paid conversions, and where possible, early churn signals, not just form fills and demo bookings.
The optimization logic is anchored to LTV and payback period, which changes how we bid, who we target, and what creative we run.
Yes. Real estate is one of our primary verticals.
The key difference in how we approach it: we don’t optimize for lead volume.
We optimize for cost per site visit and cost per booking, with tracking set up across the full buyer journey from ad click to token amount collected.
A developer sitting on 200 leads a month with a 1% site visit rate is not running a campaign that’s working, regardless of what the dashboard shows.
Yes. Location-specific campaigns require tighter audience boundaries, locally relevant messaging, and often a different creative strategy than national campaigns.
We’ve run hyperlocal Meta campaigns targeting audiences within a 5 km radius of a store and generated over 1,200 WhatsApp inquiries and ₹50,000 in revenue in the first week.
The mechanics of a local campaign are different from a national one, and the strategy needs to reflect that.
Yes. We run city-wise and region-wise campaigns regularly, particularly for edtech, real estate, and retail clients with multiple locations or city-specific offers.
We build separate campaign structures for each geography rather than applying a single national campaign with geo-targeting layered on top.
Separate structures give you cleaner data, better budget control, and the ability to optimize each city based on its own cost-per-lead and conversion performance.
An in-house team makes sense once you have enough campaign volume, budget scale, and strategic clarity to keep them fully occupied.
Before that point, you’re paying full-time salaries for part-time utilization.
An agency brings cross-industry pattern recognition that an in-house team takes years to build, along with specialists across strategy, creative, and analytics without having to hire each role separately.
The trade-off is less institutional knowledge about your brand.
We close that gap through structured onboarding and requiring sales team involvement in our reporting reviews from day one.
We handle creative development. This includes ad copy, creative direction, static image ads, and video ad scripts.
For video production, we either work with your team or coordinate production separately depending on the scope.
Creative is not a separate service bolted onto campaign management.
It’s part of the strategy, because the creative is often where the actual conversion problem lives and fixing it there moves numbers faster than any targeting change.
We need access to your ad accounts and website analytics, along with any historical campaign data.
We also want your current CPL and CAC benchmarks if you have them, your sales team’s read on lead quality from past campaigns, and clarity on your offer, pricing, and what a qualified buyer looks like.
The more context we have on what’s worked and what hasn’t, the faster we can build something that moves the right numbers.
Yes, always. An account audit tells us what’s already been tried, where the current setup is wasting budget, and what targeting and creative decisions have been made historically.
Without it, we’re building without context. The audit is not a formality.
It directly shapes the first 90 days of strategy and often surfaces the reason a previous campaign underperformed before we’ve spent a rupee.
Yes. Transitions happen for different reasons and we handle them without disrupting live campaigns.
The first step is an account audit to assess the current structure, performance history, and any active campaigns worth preserving.
We don’t rebuild for the sake of it. If something is working, it stays and gets built around.
If the structure is broken, we flag it and explain why before making any changes.
More involved than most brands expect, though not on a daily basis. We need a point of contact who can share sales team feedback on lead quality, flag changes in your offer or pricing, and join scheduled reporting reviews.
Campaigns that run in isolation from what’s happening on the sales side tend to optimise toward the wrong signal over time.
The brands that see the best results are the ones that treat the post-launch engagement as part of the work, not a formality.
Yes. We work alongside in-house teams regularly. The division of responsibility depends on what the team currently handles and where the gaps are.
Some clients use us as the paid media arm while their team manages content and brand. Others bring us in at the strategy level and use their team for execution support.
We’re not protective of scope. We work the way that actually gets things done.
Sales feedback is the most underused input in performance marketing.
When your sales team tells us that leads from a particular campaign don’t pick up the phone, or that leads from one city convert at twice the rate of another city, that information changes the targeting, the creative messaging, and sometimes the channel mix entirely.
We build a structured feedback loop with your sales team into the engagement from the start.
It’s not a quarterly check-in. It’s part of how the campaign gets smarter.
Platform selection follows the buyer, not the budget or what your competitors are running.
A B2B brand selling to enterprise decision-makers needs LinkedIn for top-of-funnel reach and Google for capturing in-market intent.
A D2C brand selling a discovery product needs Meta for consideration and Google Shopping for buyers who already know what they want.
We map the buyer journey before recommending a platform mix, because the wrong channel at the right budget is still the wrong channel.
We send reports on a fixed cadence: weekly for campaign-level metrics and monthly for strategic reviews. Weekly reports cover spend, CPL, conversion rate, and any live creative or audience tests.
Monthly reviews go deeper: CAC trends, funnel performance, lead quality feedback from your sales team, and what the next month’s strategy should change based on the data.
We don’t send dashboards and leave interpretation to you.
Every report comes with a clear read on what the numbers mean and what we’re changing because of them.
ROAS and CPL are starting metrics, not endpoints. For lead-gen clients, we track CPL alongside lead-to-meeting rate, meeting-to-close rate, and CAC, because a ₹200 CPL that closes at 2% is worse than a ₹500 CPL that closes at 15%.
For ecommerce clients, we track contribution margin per order, repeat purchase rate from paid acquisition cohorts, and payback period on spend.
The metrics we anchor the engagement to are agreed in the strategy phase, not decided after the campaign launches.
We don’t offer pure performance-based pricing, and the reason is practical.
Campaign outcomes depend on inputs that go beyond our control: your offer, your website, your sales process, and your product.
A performance fee structure creates pressure to optimise for the metric that triggers the fee rather than the metric that grows the business.
What we offer instead is transparent retainer pricing with reporting that shows exactly what the spend is producing.
That structure tends to hold both sides more accountable than a commission model does.
There’s no fixed minimum, but there’s a practical floor.
Below a certain spend level, ad platforms don’t generate enough data for meaningful optimization, and the management fee relative to ad spend stops making commercial sense for either side.
For most campaign types, a monthly ad budget of ₹1 lakh and above is where campaigns can be tested and optimized properly.
If the budget you’re working with isn’t enough to reach what you’re aiming for, we’ll tell you before we start.
45 minutes. No pitch. Just an honest look at where your marketing stands and where it should go.
45 minutes. No pitch. Just an honest look at where your marketing stands and where it should go.
45 minutes. No pitch. Just an honest look at where your marketing stands and where it should go.
45 minutes. No pitch. Just an honest look at where your marketing stands and where it should go.
45 minutes. No pitch. Just an honest look at where your marketing stands and where it should go.
