Performance ads
Ad spend keeps climbing while cost per acquisition stays flat, or gets worse, and nobody on your team can say with confidence which channel or creative is actually driving revenue.

Examples of the work
What we do
We plan, build, and optimize paid acquisition across search, social, and programmatic, with every campaign structured around one question: what did this cost us to earn a customer, not how many people saw it.
Most media buying reports on clicks and impressions because that's what's easy to show. We rebuild attribution first, so every rupee of spend can be traced to a result, then run a weekly creative testing cadence instead of a quarterly refresh.
What you get
Full-funnel media plans across Meta, Google, and emerging channels
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Creative testing pipelines that ship new variants weekly, not quarterly
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Attribution and reporting built around CAC and LTV, not just CTR
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Weekly optimization cycles with transparent spend and results
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How it runs
Rebuild attribution so spend maps to revenue, not just clicks
Launch a structured testing matrix across hooks, angles, and formats
Reallocate budget weekly toward what's proving out lowest CAC
Report in a live dashboard, not a monthly slide deck
Work and examples
A walkthrough of this service in action, and the case studies where it did the work.
Capabilities
Every rupee traced to a result
Paid media works when you can see what each channel and creative earned. These are the parts of the system that make that visible.
Attribution rebuild
Spend is traced to revenue before anything gets optimized.
Full-funnel plans
Media plans across Meta, Google and emerging channels, from prospecting to retargeting.
Weekly creative testing
New hooks, angles and formats ship every week, not every quarter.
CAC and LTV reporting
Reports lead with what a customer cost and what they are worth, not with clicks.
Budget reallocation
Spend moves each week toward whatever is proving out the lowest CAC.
A live dashboard
Spend and results in a live view instead of a monthly slide deck.
Outcomes
- Sugar Muktam cut cost per acquisition over 40% within two optimization cycles
- Creative testing velocity increased from monthly to weekly
Sugar Muktam
Paid acquisition that finally paid for itself.
Ad spend was climbing while cost per acquisition stayed flat or worsened, and there was no reliable way to tell which creative or channel was actually driving revenue.
41%
lower CAC
Cost per acquisition dropped over 40% within two optimization cycles
Approach
Rebuilt attribution so every rupee of spend could be traced to a result
Reported results
Percent change across our case studies
faster mobile load time
Ratnadeep Homes
62%
less time per asset
Nine-brand content system
55%
lower CAC
Sugar Muktam
41%
off-season revenue lift
Northline Retail
33%
Each bar is a different metric from a different engagement, drawn on a 0โ100% scale. It shows the percentage reported in that case study and is not a ranking of clients.
4x
creative test velocity
Creative testing velocity increased from monthly to weekly
Approach
Stood up a weekly creative testing pipeline instead of quarterly refreshes
2
optimization cycles to profitability
Reporting moved from manual spreadsheets to an automated live dashboard
Approach
Shifted budget dynamically toward the channels proving out lowest CAC
Trust
What you can count on
The principles behind every engagement, and what is specific to this one.
- 01
Show the math
Every recommendation ties back to a number we can defend. No vanity metrics, no black boxes.
- 02
Spend you can see
Spend and results are shown openly in a live dashboard.
- 03
Honest about fit
If your spend is too low to test properly, we'll tell you.
- 04
Decisions on revenue
Optimization is judged on CAC and LTV rather than on click-through rate.
- 05
Build systems, not one-offs
A campaign ends. A system compounds. We default to building the thing that keeps working after we hand it off.
Performance ads
Find out what your spend is really earning
Share your current ad accounts and we'll show where attribution breaks down and what a weekly testing cadence would change.
- Attribution rebuilt so spend maps to revenue
- A testing matrix across hooks, angles and formats
- Budget that moves weekly toward the lowest-CAC channels
Most accounts see a measurable CAC shift within the first two optimization cycles (roughly 4โ6 weeks).
Questions
ContactPerformance ads
Ready to put this to work?
Tell us where growth is stalling and we'll scope it, or start from one of the standard plans.
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