Jewellery case study: ₹50,000–₹1L to ₹1.1L monthly revenue in 3–4 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   The first problem in this scenario is reaching new buyers, so the opening month on this smaller store goes there. We lead with craft: handcrafted or made-to-order positioning, with personalised pieces up front. We audit the competitors buyers are already comparing, and agree the case study before spending.

   Why

   In this case study, a smaller jewellery brand grows monthly revenue in 3–4 months, from ₹50,000–₹1L to ₹5L+ (6.7x). Our fastest-growing tenth of measured accounts reached that pace in the same time. The main problem in this scenario is reaching new buyers. Jewellery buyers decide on the piece and the story behind it. The audit positions the brand in this scenario against the alternatives buyers are weighing.

   How it works

   Personalised pieces open the prospecting ads. The audit sets the creative and site work for the first weeks.

2. 2

   Measurement & reviews · Month 1 to 4

   What we do

   We keep a shared daily sheet with the ad platform's revenue next to real store orders. We write month-by-month revenue numbers with the brand's team that climb from ₹50,000–₹1L to ₹5L+, and open every review with the month-to-date number against them. We raise budget in a month only while return holds; where it slips too far, we hold it.

   Why

   With no return on ad spend reported, the case study begins at the level 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. A missed month shows up early instead of at the end of the case study.

   How it works

   The sheet is read before each budget change. Written monthly numbers make each scaling decision explicit. A month whose return slips past that point keeps its budget instead.

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 carousel watched closely since it returns less than the rest. We make trust the subject of the video: creator reels, customer feedback and founder-led clips. We commission ads in batches, and read each batch for a set window before ordering the next. We show the piece: product-only singles and carousels, swapped the moment they stop converting.

   Why

   Trust-carrying video held return in most measured accounts. The read window keeps creative spending tied to evidence. Jewellery buyers decide on the piece, and fatigue sets in fast.

   How it works

   Weak UGC is swapped for founder-led video rather than scaled. Losing batches stop; winning ads take their budget. Creatives are rotated on conversion, not on a calendar. 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

   We scale through Month 2 to Month 3 toward ₹5L+ as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We build lookalikes from past buyers once purchases are steady, beside broad prospecting. 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 holds. In two of these months the step is trimmed to the size return can hold. Each budget step here is sized so that return stays close to where it was. Past buyers are the clearest signal of who buys next.

   How it works

   Lookalike and broad audiences run the same ads, so they can be compared. Spend shifts into each season and between regions with the calendar. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Most spend reaches people who have not bought yet; past visitors return more per rupee.

5. 5

   Steady state · Month 4

   What we do

   From Month 4, we protect the revenue already built and move toward ₹5L+ where return permits. We build lookalikes from repeat buyers and retarget past buyers with new arrivals. We refresh tired ads by mixing old and new creatives, and keep a creative bank.

   Why

   Growth slows from Month 4, still short of ₹5L+. Spend still grows, at a slower pace than during scaling. Repeat buyers are the cheapest orders an account gets. Falling click-through preceded a revenue drop in a measured account, so creative refresh is not optional.

   How it works

   Past buyers see new arrivals before anyone else. The bank means a tired ad is replaced the week it tires.

1. Month 1

   Learning month: the first ads run on a small daily budget while tracking is checked against store orders. The daily sheet now matches platform revenue to store orders. The competitor audit is shared and the creative brief agreed.

   • Revenue ₹77,075
   • ROAS 1.91x
   • Ad spend ₹40,336
2. Month 2

   Scaling starts: product-only creatives that stop converting are swapped. The budget step stops where return starts to slip: return on spend holds while budget steps up.

   • Revenue ₹92,714
   • ROAS 1.94x
   • Ad spend ₹47,850
3. Month 3

   A seasonal collection campaign takes a larger share of budget.

   • Revenue ₹1L
   • ROAS 1.86x
   • Ad spend ₹54,766
4. Month 4

   From here the work shifts to keeping ads fresh and bringing buyers back. The budget step stops where return starts to slip: return on spend holds while budget holds. Revenue ends below ₹5L+, 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 ₹1.1L
   • ROAS 1.89x
   • Ad spend ₹57,884

1. 1

   Video carries most creative spend in this industry's measured accounts.

2. 2

   Run creator, customer-feedback and founder-led video; replace low-quality UGC with founder-led video when sales soften.

3. 3

   Show the product only (singles and carousels), lead with craft or personalisation, and swap creatives the moment they stop converting.