How merging a fragmented account running below 1.0x ROAS into one CBO campaign generated Rs 884,975.65 in profitable sales.
An online fashion-jewelry store in Pakistan came to us losing money on ads. Its budget was spread thin across many separate campaigns (catalog sales, video views and general engagement), which starved Meta's pixel of the data it needs to learn who buys.
Before we stepped in, catalog tests and seasonal video campaigns were returning as little as 0.12x–0.24x ROAS, and a single purchase could cost Rs 4,856.64. Overlapping audiences and scattered tracking meant most of the spend was wasted, and the store was losing money overall.
Meta Ads Manager figures, before and after the restructure.
| Campaign | Spend | Avg. CPC | Purchases | Cost per purchase | ROAS |
|---|---|---|---|---|---|
| Consolidated CBO campaign (IT Cybx) | Rs 266,103.78 | Rs 8.24 | 523 | Rs 508.80 | 3.33x |
| Reviews Video Sales (before) | Rs 6,456.91 | Rs 21.89 | 3 | Rs 2,152.30 | 0.24x |
| All Products Catalog Sales (before) | Rs 4,856.64 | Rs 12.61 | 1 | Rs 4,856.64 | 0.12x |
| 11-11 Video Test Sales (before) | Rs 5,003.64 | Rs 21.38 | 3 | Rs 1,667.88 | 0.99x |
| 11-11 Sales Campaign (before) | Rs 3,347.61 | Rs 29.37 | 2 | Rs 1,673.81 | 1.10x |
| Catalog All PP Sales (before) | Rs 1,678.86 | Rs 16.30 | 0 | – | – |
For a jewelry brand in Pakistan, growth came from concentrating data, not multiplying campaigns. One consolidated campaign turned a loss-making ad budget into a reliable, profitable source of sales, and a template for scaling from here.
Results reflect this client's account during the period shown. Outcomes depend on product, market and budget; past results don't guarantee future performance.
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