Jewellery case study: ₹50,000 to ₹60,128 monthly revenue in 3–4 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We open with set-up work on the smaller jewellery store, since the brand in this scenario named no single problem. We open with three documents: a website audit, a creative brief and a media schedule by month. We build the account in layers so each can be read on its own: testing, scaling, new-buyer prospecting and cart retargeting.

   Why

   In this case study, a smaller jewellery brand grows monthly revenue in 3–4 months, from ₹50,000 to ₹10L (20x). Nine in ten of the accounts we measured grew more slowly than that in the same time; the case study is built on what the fastest tenth reached, and shows the gap to the agreed number honestly. The brand in this scenario named no single problem, so the case study starts from the numbers. Without a brief, each creative and budget decision starts from scratch. Without layers, retargeting quietly eats the prospecting budget.

   How it works

   The brief is agreed first; spend follows it. Warm layers run beside prospecting, not instead of it.

2. 2

   Measurement & reviews · Month 1 to 4

   What we do

   We log store orders every day beside what the ad platform claims. We write month-by-month revenue numbers with the brand's team that climb from ₹50,000 to ₹10L, and open every review with the month-to-date number against them. We set a written rule: no budget step in a month where return falls too far to pay for it.

   Why

   No starting return on ad spend was given; the starting return is what measured jewellery stores of that size hold. The ad platform's own count runs high, so the store's count is the one that moves budget. Written monthly numbers expose a slow month while there is still time to act.

   How it works

   The sheet is read before each budget change. The month's number is on the page at every review. Where return slips too far, the month keeps last month's budget.

3. 3

   Creative testing · Month 1

   What we do

   We lead the testing layer with video, catalogue ads and static image, building to about two dozen new ads a month by the final month, with every format close to the account's return. We show the piece: product-only singles and carousels, swapped the moment they stop converting. We work in creative batches with a fixed read window each. We run static images next to the video ads.

   Why

   Jewellery buyers decide on the piece, and fatigue sets in fast. The read window keeps creative spending tied to evidence. Among the jewellery accounts we measured, static image was the format most often in the top creative tier.

   How it works

   Creatives are rotated on conversion, not on a calendar. Losing batches stop; winning ads take their budget. Statics join once a winning video is found. The number of new ads grows with spend; video makes up the largest part and catalogue ads the next.

4. 4

   Scaling · Month 2 to 3

   What we do

   Through Month 2 to Month 3, we push toward ₹10L: the budget rises gently while return rises, and Instagram Feed carries the most spend and Instagram Reels the next. We raise budget only while return on spend holds, and cut it when return drops. We put seasonal collection campaigns in front of each festive and wedding peak.

   Why

   Across Month 2 to Month 3, the budget rises gently, while return on spend rises. In two of these months the step is trimmed to the size return can hold. Return improves over these months, moving from the starting level toward the level of measured stores of that size. Demand is seasonal and regional, so spend moves with the calendar.

   How it works

   Each month's budget is set by the return the last one earned. Spend shifts into each season and between regions with the calendar. In the final month, 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.

5. 5

   Steady state · Month 4

   What we do

   From Month 4, we hold the gains and push toward ₹10L only as far as return allows. We hold a creative bank and swap tired ads out before click-through falls. We recover abandoned checkouts and lift repeat orders with WhatsApp messages.

   Why

   Growth slows from Month 4, still short of ₹10L. Budget keeps rising. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   The bank means a tired ad is replaced the week it tires. Messages run beside retargeting ads.

1. Month 1

   The learning phase opens: the first ads run on a small daily budget while tracking is checked against store orders. The media schedule and creative brief are signed off. The daily sheet now matches platform revenue to store orders.

   • Revenue ₹48,686
   • ROAS 1.90x
   • Ad spend ₹25,568
2. Month 2

   The scaling phase opens: product-only creatives that stop converting are swapped. Budget goes up only as far as return can carry it: return rises as the budget holds.

   • Revenue ₹54,972
   • ROAS 1.99x
   • Ad spend ₹27,649
3. Month 3

   The creative bank supplies this period's refresh.

   • Revenue ₹57,552
   • ROAS 1.99x
   • Ad spend ₹28,947
4. Month 4

   From here the work shifts to keeping ads fresh and bringing buyers back. Budget goes up only as far as return can carry it: return dips as the budget dips. Revenue ends below ₹10L, the number this scenario calls for, because budget stops rising where return starts to slip. Cost per purchase ends close to the learning phase.

   • Revenue ₹60,128
   • ROAS 1.86x
   • Ad spend ₹32,372

1. 1

   Build around the festive and wedding calendar: seasonal catalogue or collection campaigns, regional audiences for regional festivals, and pausing regions during regional observances.

2. 2

   Handed over a 13-point site fix list: prepaid offer, testimonials, a three-day return window, an about page, no permanent sale prices

3. 3

   We recover abandoned checkouts and lift repeat orders with WhatsApp messages.