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Fashion & apparel1 monthCase study

Fashion & apparel case study: plan for Under ₹10L to ₹9.1L monthly revenue in 1 month

Monthly revenue at enquiry, self-reportedUnder ₹10L
Projected for the last 4 weeks, modelled₹9.1L
-9%
Planned ad spend₹1.7L
Projected revenue₹9.1L
Projected blended ROAS5.35x
Projected orders173
Projected revenue, the last 4 weeks₹9.1L
Projected ROAS, the last 4 weeks5.35x
Projected cost / purchase, the last 4 weeks₹986
Projected avg order value, the last 4 weeks₹5,276
Projected conversion, the last 4 weeks1.18%
Horizon4 weeks
Target, brand's own₹50L a month
Plan reaches18% of target

01 · Plan

Week by week

Weekly plan
WeekPhasePlanned ad spendProjected revenueProjected ROASProjected purchasesProjected cost per purchase
At enquiry, self-reported––Under ₹10L–––
Week 1Learning₹40,499₹2,23,3035.51x42₹964
Week 2Learning₹41,876₹2,21,7805.30x43₹974
Week 3Learning₹46,043₹2,34,2725.09x44₹1,046
Week 4Learning₹42,163₹2,33,3495.53x44₹958
Total₹1,70,581₹9,12,7045.35x173₹986

02 · Funnel

Projected funnel, first view to purchase · the last 4 weeks

  1. Impressions8,46,094
  2. Link clicks19,185
    2.27% of impressions
  3. Landing-page views14,611
    76.16% of link clicks1.727% of impressions
  4. Added to cart888
    6.08% of landing-page views0.105% of impressions
  5. Checkout started480
    54.05% of added to cart0.057% of impressions
  6. Purchases173
    36.04% of checkout started0.02% of impressions

0.02% of impressions became purchases

03 · Mix

Where the planned budget goes · the last 4 weeks

SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram₹1,15,04167.4%1205.47x₹959
Facebook₹52,57830.8%505.08x₹1,052
Audience Network₹2,9621.7%35.65x₹987
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram Feed₹46,23427.1%515.78x₹907
Instagram Reels₹45,34226.6%475.47x₹965
Facebook Feed₹32,44619.0%315.04x₹1,047
Instagram Stories₹23,46513.8%224.85x₹1,067
Facebook Reels₹15,3099.0%145.00x₹1,094
Audience Network₹2,9621.7%35.65x₹987
Facebook Stories₹2,4851.5%35.65x₹828
Facebook Video₹2,3381.4%25.65x₹1,169
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Prospecting (cold audiences)₹1,36,54480.0%1365.24x₹1,004
Retargeting (warm audiences)₹17,67510.4%205.92x₹884
Lookalike audiences₹8,3744.9%95.54x₹930
Advantage+ shopping₹7,9884.7%85.71x₹998

04 · Creatives

Planned creative mix · the last 4 weeks

New ads per month

Video11 a month
Catalogue (dynamic product ads)7 a month
Static image2 a month
UGC / creator video2 a month
Carousel2 a month
Moderate5.38xblended ROAS · 4 creative types₹1.7L spend
Watchlist4.48xblended ROAS · 1 creative type₹4,540 spend
Creative typeTierPlanned ad spendProjected purchasesProjected ROASProjected cost per purchase
Catalogue (dynamic product ads)Moderate₹40,012425.55x₹953
VideoModerate₹84,695865.37x₹985
Static imageModerate₹28,988295.35x₹1,000
UGC / creator videoModerate₹12,346124.91x₹1,029
CarouselWatchlist₹4,54044.48x₹1,135

05 · How we'd help

How we'd help, why, and how it works

  1. Research & offer · Week 1 to 2

    What we'd do

    Start with marketing and social presence, which the booking named first, before anything else on this mid-sized store. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Put best-sellers on product pages and lead with the one or two categories that already sell.

    Why

    The enquiry came from a mid-sized fashion brand that wants to grow monthly revenue in 1 month, from Under ₹10L to ₹50L (5x). Fewer than one in ten of our measured accounts grew that fast in the same time, so the plan follows the pace of that top tenth rather than forcing the target. The problem named at booking was marketing and social presence. Without a brief, each creative and budget decision starts from scratch. Lead categories give prospecting ads a proven entry point.

    How it works

    The audit, the brief and the media plan are shared before spend rises. Lead categories carry the first scaling months.

  2. Measurement & targets · Week 1 to 4

    What we'd do

    Keep a shared daily sheet with the ad platform's revenue next to real store orders. Write week-by-week targets with the brand's team that climb from Under ₹10L to ₹50L, and open every review with the week-to-date number against them.

    Why

    With no return on ad spend reported, the plan begins at the level measured fashion stores of that size hold. Platform attribution over-counts, so budget decisions sit on the store-side number. A shortfall is caught in the week it happens, not at the end.

    How it works

    Every budget call starts from the store's orders. Written targets make each scaling decision explicit.

  3. Creative testing · Week 1 to 4

    What we'd do

    Test with video, catalogue ads and carousel first, rising to about two dozen new ads a month by the last four weeks, keeping carousel on a short leash because its return trails the account. Keep creators producing UGC video on a steady schedule, and cut the winners into regional languages. Make trust the subject of the video: creator reels, customer feedback and founder-led clips. Test static images beside video.

    Why

    Regular UGC keeps testing going, and a regional cut stretches a winning idea further. Video built on trust was the format that held return in most measured accounts. In measured fashion accounts, video reached the top creative tier most often.

    How it works

    Winning UGC is cut into regional languages before new ideas are bought. Low-quality UGC is pulled and founder-led video takes its place. Statics are added after a video wins. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

  4. Scaling · Week 4

    What we'd do

    Scale through Week 4 toward ₹50L as the budget stays close to the learning level while return holds, with Instagram Feed taking the largest share of spend and Instagram Reels the next. Test cost caps, bid caps and CBO against ABO side by side before each budget step. Recover abandoned checkouts with WhatsApp messages as traffic grows.

    Why

    In Week 4 the modelled budget stays close to the learning level, while return on spend holds. Return holds through these weeks because each budget step stops where return would slip. Controls show which setup holds cost per purchase as spend rises.

    How it works

    Controls run as parallel versions and the one that holds cost is kept. WhatsApp recovery runs alongside paid retargeting, not instead of it. In the last four weeks, Instagram Feed takes the most spend and Instagram Reels the next most. Prospecting to new buyers takes the bulk of spend, while retargeting returns more for each rupee.

06 · Milestones

Projected milestones by week

  1. Week 1

    First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. The media plan and creative brief are signed off. Lead categories get their own campaigns.

    • Projected revenue ₹2.2L
    • Projected ROAS 5.51x
    • Planned ad spend ₹40,499
  2. Week 2

    First creative read: ads that do not convert are cut. With budget holds, return on spend holds.

    • Projected revenue ₹2.2L
    • Projected ROAS 5.30x
    • Planned ad spend ₹41,876
  3. Week 3

    Offers and store fixes switch on as the first orders confirm.

    • Projected revenue ₹2.3L
    • Projected ROAS 5.09x
    • Planned ad spend ₹46,043
  4. Week 4

    By the end of learning, the buyer is known and one ad has won. With budget holds, return on spend rises. Revenue ends below ₹50L, the target set at enquiry, because budget stops rising where return would slip. Each order costs about what it did while learning.

    • Projected revenue ₹2.3L
    • Projected ROAS 5.53x
    • Planned ad spend ₹42,163

07 · Learnings

Learnings from Fashion & apparel brands we measured

  1. Keep Video as the main format: it carried most creative spend and also reached the top creative tier most often in this industry's measured accounts.

  2. Ran CBO and ABO versions side by side to see which held cost

  3. Tested products one by one, each in its own campaign

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