Performance marketing
I have run one ad account hard enough to learn what actually moves a number and what only looks like it does. 35 campaigns, ৳2,761,424 of spend, 6.0x blended return, 24,670 orders shipped.
- Tools
- Meta Ads Manager, Meta Pixel, Events Manager, Advantage+ campaigns
- Since
- 2020
What this involves
Account structure
Campaign, ad set and creative hierarchy built so results are readable. Separate prospecting from retargeting, keep learning phases intact, avoid the audience overlap that makes two of your own ad sets bid against each other.
Creative testing
A running bench of concepts rather than one hero ad. Test the hook first because it is the cheapest thing to change and the biggest lever on cost per result.
Budget and scaling
Increase in steps the algorithm can absorb, not jumps that reset learning. Kill on a rule, not on a feeling. My working rule is three times target cost per purchase with no result.
Measurement
Pixel and event setup, attribution windows chosen deliberately, and honesty about the gap between attributed and incremental.
How I go about it
The proof: eight months of one account
Meta ad account NiRJHAR EDUCATION, 17 January to 5 September 2026. Revenue is Meta-attributed purchase value, amounts in taka. Best single campaign of the run: 7.9x at ৳85 per purchase across 2,358 orders.
Source: Meta Ads, account 1101830128650829.
