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Work 04 · D2C brands

Covera

From spend leakage to precision growth across Meta and Google Ads

Meta and Google performance marketing for Covera, an inclusive fashion D2C brand: a cross-platform audit, wasted spend paused, creative backed by category and search scaled where it paid.

What we ran
Meta Ads · Google Ads

Client work · Figures appear only when verified with the client

Covera feed creative: three models in beaded summer dresses in a Mediterranean garden, headed "summer it girl outfits"
Engagement windowTen weeks (1 March to 13 May 2026)Ten weeks, four moves.

Meta Ads and Google Ads, read as one account

The brand

Covera is an inclusive fashion brand offering swimwear, nightwear, activewear and lingerie at affordable prices, built for young adults and families.

Sector
Inclusive fashion, D2C
What we ran
Meta Ads, Google Ads
Engagement
Ten weeks (1 March to 13 May 2026)

Channels and toolsMetaGoogle AdsInstagram

MeasureWhat the enquiries became

From spend leakage to precision growth.

Campaigns ran on Meta and Google at the same time, but decisions relied on manual reports and guesswork. AdverGrow found the wasted spend, backed the creative that worked and scaled search where it paid. Here is what changed in ten weeks, in Covera's own numbers.

Period
1 March to 13 May 2026
Market
India, INR
Platforms
MetaGoogle Ads

Where Covera started

  • UnwatchedUndetected spend leakageNo real-time cost-per-acquisition monitoring. Weak campaigns ran unchecked, and no one could see which ones.
  • Gut feelCreative decisionsVibrant, fashion-forward creative, but finding which hooks and formats drove purchases needed slow, manual pulls.
  • Below 30%Cross-platform blind spotMeta and Google ran in silos. Search Impression Share on key campaigns was below 30%.

Ten weeks, four moves

  1. March 2026, week 1Audit across both platformsThe first full cross-platform audit showed five active campaigns with click-through rates below 2% and a fragmented naming structure. For the first time the whole account was in one view.
  2. March, weeks 2 to 4Act on wasted spendWasted-spend analysis found Meta campaigns with poor return signals, and the team paused them. On Google, campaigns below 25% Search Impression Share were flagged for budget reallocation. March became the baseline to beat.
  3. April 2026Back what works, scale searchCreative analysis showed swimwear-focused top-of-funnel campaigns produced the strongest purchase signals, so a swimwear creative test launched on 27 April. On Google, one campaign's Search Impression Share rose from 25% to 44% and two new campaigns were added.
  4. May 2026, 1 to 13Efficiency buildsMeta cost per purchase fell 21.4% below March. A loungewear creative test launched on 13 May, built from the creative analysis. Google's top campaign held a Search Impression Share above 90%.

The result

Meta cost per purchase

79from 100

21% lower

Index, Mar = 100, to May 1–13

Meta click-through rate

4.77%from 4.06%

Mar to May 1–13

Google conversion value

207from 100

+107%

Index, with spend at 118, Mar to Apr

Search Impression Share

55.6%from 25.1%

Up from 25.1% on one campaign

Mar to May 1–13

Meta cost per purchase

Index, March 2026 = 100. May covers 1 to 13 May only. Platform-reported, published with Covera's permission.
Meta cost per purchase
PeriodCost per purchase
Mar100
Apr84
May 1–13 (Partial month)79

Google conversion value against spend

Index, March 2026 = 100. April's conversion value reflects new campaigns added after budget was reallocated. May not shown.
Google conversion value against spend
PeriodAd spendConversion value
Mar100100
Apr118207

Search Impression Share, one Google campaign

Share of eligible search impressions won, by month. The top campaign held above 90% in May.
Search Impression Share, one Google campaign
PeriodImpression share
Mar25%
Apr44%
May 1–1356%

What drove it

  • Creative consolidation and pausing low-signal campaigns brought cost per purchase down over about ten weeks.
  • Swimwear and loungewear emerged as the hero categories.
  • Messaging campaigns produced 293 to 371 conversations a month, a top-of-funnel signal Covera can lean on further.
  • Frequency rose from 1.94 to 4.41, likely from tighter retargeting. It was flagged as a creative-rotation signal, and the loungewear test on 13 May was the response.

Covera's own figures, published with permission · indexed, platform-reported

AcquireWho the ads attract

Creative backed by category.

Creative analysis read Covera's campaigns by category against purchase signals. Swimwear top-of-funnel campaigns produced the strongest, so a swimwear creative test launched on 27 April; rising frequency was read as a rotation signal, and the loungewear test on 13 May was the response.

Covera feed creative: three models in beaded summer dresses in a Mediterranean garden, headed "summer it girl outfits"

Covera · creative tested by category on Meta

What this kind of work relies on

  1. One view of both platforms

    Meta and Google read together, so budget moves on purchase signals rather than on whichever report was opened last.

  2. A baseline to beat

    The first month becomes the index. Every later figure is read against it, including a partial month reported as partial.

  3. Creative read by category

    Which categories, hooks and formats produce purchases decides the next test, and frequency is the cue to rotate before performance slips.

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