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Fashion & apparel6 monthsCase study

Fashion & apparel case study: plan for ₹50,000 to ₹62,034 monthly revenue in 6 months

Monthly revenue at enquiry, self-reported₹50,000
Projected for month 6, modelled₹62,034
+24%
Planned ad spend₹1.8L
Projected revenue₹3.5L
Projected blended ROAS1.92x
Projected orders165
Projected revenue, month 6₹62,034
Projected ROAS, month 61.93x
Projected cost / purchase, month 6₹1,070
Projected avg order value, month 6₹2,068
Projected conversion, month 61%
Horizon6 months
Target, brand's own₹10L a month
Plan reaches6% of target

01 · Plan

Month by month

Monthly plan
MonthPhasePlanned ad spendProjected revenueProjected ROASProjected purchasesProjected cost per purchase
At enquiry, self-reported––₹50,000–––
Month 1Learning₹26,455₹49,9271.89x24₹1,102
Month 2Scaling₹28,524₹54,9491.93x25₹1,141
Month 3Scaling₹29,788₹57,1261.92x27₹1,103
Month 4Scaling₹31,252₹59,8631.92x29₹1,078
Month 5Steady₹32,161₹61,3211.91x30₹1,072
Month 6Steady₹32,090₹62,0341.93x30₹1,070
Total₹1,80,270₹3,45,2201.92x165₹1,093

02 · Funnel

Projected funnel, first view to purchase · month 6

  1. Impressions1,68,992
  2. Link clicks3,677
    2.18% of impressions
  3. Landing-page views3,005
    81.72% of link clicks1.778% of impressions
  4. Added to cart182
    6.06% of landing-page views0.108% of impressions
  5. Checkout started104
    57.14% of added to cart0.062% of impressions
  6. Purchases30
    28.85% of checkout started0.018% of impressions

0.018% of impressions became purchases

03 · Mix

Where the planned budget goes · month 6

SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram₹21,10165.8%211.99x₹1,005
Facebook₹10,98934.2%91.83x₹1,221
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Instagram Reels₹9,42529.4%91.99x₹1,047
Instagram Feed₹7,48223.3%82.10x₹935
Facebook Feed₹7,34022.9%61.83x₹1,223
Instagram Stories₹4,19413.1%41.77x₹1,048
Facebook Reels₹3,64911.4%31.82x₹1,216
SegmentPlanned ad spendShare of spendProjected purchasesProjected ROASProjected cost per purchase
Prospecting (cold audiences)₹25,36279.0%231.90x₹1,103
Retargeting (warm audiences)₹2,9329.1%32.14x₹977
Lookalike audiences₹2,0926.5%22.00x₹1,046
Advantage+ shopping₹1,7045.3%22.06x₹852

04 · Creatives

Planned creative mix · month 6

New ads per month

Video4 a month
Catalogue (dynamic product ads)3 a month
Static image1 a month
UGC / creator video1 a month
Moderate1.93xblended ROAS · 4 creative types₹32,090 spend
Creative typeTierPlanned ad spendProjected purchasesProjected ROASProjected cost per purchase
Catalogue (dynamic product ads)Moderate₹6,62161.99x₹1,104
VideoModerate₹19,137181.93x₹1,063
Static imageModerate₹4,53041.92x₹1,132
UGC / creator videoModerate₹1,80221.77x₹901

05 · How we'd help

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

  1. Research & offer · Month 1

    What we'd do

    Before budget rises, get the smaller fashion store ready to convert paid traffic. Put the website audit, the creative brief and the monthly media plan in place before spend moves. Before budget rises, close the gaps that stop a visitor buying: missing reviews, an unclear return window, no about page and no prepaid incentive.

    Why

    A smaller fashion store asked us how to grow monthly revenue in 6 months, from ₹50,000 to ₹10L (20x). That is faster than nine in ten of our measured accounts grew over the same time, so the plan below is modelled on what that fastest tenth reached and shows where it lands against the target. No single problem was named at booking; the plan works from the figures instead. Later budget calls need something written to be judged against. Every rupee of ads is capped by how well the store turns visits into orders.

    How it works

    The brief is agreed first; spend follows it. Site fixes are handed over in the first weeks, before budget rises.

  2. Measurement & targets · Month 1 to 6

    What we'd do

    Track ad-platform revenue beside store orders in a shared daily sheet. Set the path from ₹50,000 to ₹10L as written monthly targets, and read every review against the month so far. Set a written rule: no budget step in a month where return would fall too far to pay for it.

    Why

    No return on ad spend was given at booking; the starting return is what measured fashion stores of that size hold. Ad platforms claim more orders than stores record, so the store number decides budget. A shortfall is caught in the month it happens, not at the end.

    How it works

    Every budget call starts from the store's orders. Each budget step is argued against the written target. Where return would slip too far, the month keeps last month's budget.

  3. Creative testing · Month 1

    What we'd do

    Test with video, catalogue ads and static image first, rising to about a dozen new ads a month by the final month, with no format far behind the account's return. Run every lead product in a campaign of its own, read every week. The learning month runs on a small daily budget, stepping up only once orders confirm. Run static images next to the video ads.

    Why

    Shared campaigns hide weak products; separate ones expose them fast. Spend in the learning phase pays for information. Among the fashion accounts we measured, video was the format most often in the top creative tier.

    How it works

    Budget follows the products that sell. Spend steps up only after orders confirm at the low budget. Statics join once a winning video is found. New ads rise with the budget, most of them video, then catalogue ads.

  4. Scaling · Month 2 to 4

    What we'd do

    Through Month 2 to Month 4, push toward ₹10L: the budget rises gently while return holds, and Instagram Reels carries the most spend and Instagram Feed the next. Tie every budget increase to return: step up while it holds, step back when it drops. Scale into the festive and wedding calendar with seasonal collection campaigns.

    Why

    In Month 2 to Month 4 the modelled budget rises gently, while return on spend holds. Three of these months stop their budget step where return would slip too far. Return holds through these months because each budget step stops where return would slip. Demand is seasonal and regional, so spend moves with the calendar.

    How it works

    There is no fixed ramp; each month's budget follows the return of the last. Budget moves between regions as the calendar turns. In the final month, Instagram Reels takes the most spend and Instagram Feed the next most. Most spend reaches people who have not bought yet; past visitors return more per rupee.

  5. Steady state · Month 5 to 6

    What we'd do

    From Month 5, protect the revenue already built and move toward ₹10L where return permits. Keep a bank of ready creatives and rotate them in as ads tire. Ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.

    Why

    From Month 5 growth slows while revenue is still under ₹10L. Budget stays about level over these months. In one account we measured, click-through fell before revenue did; refresh is how that is avoided. Season-specific pages convert season traffic better than the default collection.

    How it works

    New creatives mix with proven ones rather than replacing them all at once. The seasonal page is requested before the season, with the catalogue campaign.

06 · Milestones

Projected milestones by month

  1. Month 1

    First, the set-up: a small daily budget carries the first ads, and store orders are matched to tracking. The audit, brief and media plan are agreed with the brand's team. Reviews, trust pointers and the prepaid incentive are now on the store.

    • Projected revenue ₹49,927
    • Projected ROAS 1.89x
    • Planned ad spend ₹26,455
  2. Month 2

    Scaling begins: the seasonal landing page is briefed ahead of the peak. Budget rises to the point where return would start to give way: spend holds, and return holds.

    • Projected revenue ₹54,949
    • Projected ROAS 1.93x
    • Planned ad spend ₹28,524
  3. Month 3

    The budget decision is taken on the return the last step earned.

    • Projected revenue ₹57,126
    • Projected ROAS 1.92x
    • Planned ad spend ₹29,788
  4. Month 4

    A seasonal collection campaign takes a larger share of budget.

    • Projected revenue ₹59,863
    • Projected ROAS 1.92x
    • Planned ad spend ₹31,252
  5. Month 5

    From here the work shifts to keeping ads fresh and bringing buyers back.

    • Projected revenue ₹61,321
    • Projected ROAS 1.91x
    • Planned ad spend ₹32,161
  6. Month 6

    Statics go live next to the winning video. Budget rises to the point where return would start to give way: spend holds, and return holds. The plan finishes short of ₹10L: budget stops rising where return would slip. Cost per purchase ends close to the learning phase.

    • Projected revenue ₹62,034
    • Projected ROAS 1.93x
    • Planned ad spend ₹32,090

07 · Learnings

Learnings from Fashion & apparel brands we measured

  1. Ask for a seasonal landing page, new ad formats and delivery banners ahead of the festive peak.

  2. Read Meta against Shopify every week

  3. Store revenue per rupee of ad spend fell from 8.2x to 5.5x as monthly spend nearly doubled

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