Meta Ads Management
Meta ads run across Facebook and Instagram, targeted by interest, behaviour, custom audiences and lookalikes. Since Meta's algorithm now handles most targeting and bidding, creative is the primary lever a marketer still controls, which is why testing volume matters more than audience fiddling.
Prices shown are starting points. The final cost depends on the size and scope of your project, and we confirm it in writing before any work begins.
Meta advertising changed direction. Detailed interest targeting used to be the skill; the algorithm now finds buyers more reliably than manual audience stacking, provided it receives clean conversion data. What it cannot do is invent creative.
So the work is creative volume and honest measurement. We run structured creative tests (different hooks, formats and angles, not colour variations) and keep the winners running while new concepts are tested behind them.
The other half is data. Without Conversions API sending server-side events, Meta optimises on a partial picture, and its bidding gets worse in ways that show up as rising cost per purchase with no obvious cause.
What's included
- Account structure and campaign setup
- Pixel and Conversions API implementation
- Audience strategy: custom, lookalike, broad
- Structured creative testing across hooks and formats
- Catalogue and dynamic product ads setup
- Retargeting across browse, cart and purchase stages
- Budget scaling without resetting learning
- Creative performance reporting by concept
- Monthly reporting on cost per purchase or lead
What you actually get
Creative test cadence
New concepts entering the account on a schedule, not when performance has already dropped.
Server-side events
Conversions API alongside the pixel, deduplicated, so Meta optimises on complete data.
Stage-based retargeting
Different messages for browsers, cart abandoners and past buyers.
Concept-level reporting
Which creative angle works, so the next batch builds on evidence.
How it runs
- 01
Audit & fix tracking
Pixel, CAPI and event quality verified before spending on optimisation.
- 02
Structure
Campaigns built around objectives with enough budget per ad set to exit learning.
- 03
Test
Creative concepts tested systematically, winners scaled.
- 04
Report
Cost per purchase, by concept and audience, monthly.
Questions people actually ask
How much should I spend on Meta ads to start?
Enough for ad sets to exit the learning phase: Meta needs roughly 50 conversions per ad set per week to stabilise. For most Indian D2C brands that means a minimum of ₹40,000 to ₹60,000 a month. Spreading a small budget across many ad sets guarantees none of them ever learn.
Why did my Meta ads stop working?
Most often creative fatigue: the same audience has seen the same ad too many times, so cost per result climbs steadily. Check frequency. If it is above roughly 3 with rising CPA, it is a creative problem, not a bidding one.
Do I need the Conversions API?
Yes, in practice. Browser pixel data is materially incomplete after iOS changes and ad blocking. CAPI restores much of what is lost, and because Meta optimises on that data, incomplete events mean worse bidding, not just worse reports.
Should I use broad targeting or detailed interests?
Broad, in most cases now, with good conversion data. Meta's algorithm consistently outperforms manual interest stacking when it has clean signals. Detailed targeting still has a place for genuinely niche B2B audiences.
How many creatives do I need?
More than feels reasonable. Plan for several new concepts a month, not variations of one. Most will underperform; the point of volume is finding the occasional outlier that carries the account.