Jewellery case study: ₹1.7L–₹2L to ₹2.4L monthly revenue in 6 months

New ads per month

1. 1

   Research & offer · Month 1

   What we do

   We point the first month at scaling ad spend, the brand’s main problem, on a smaller base. We layer the account: a creative-testing campaign, a scaling campaign, cold audiences that exclude past buyers, and cart remarketing. 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 6 months, from ₹1.7L–₹2L to ₹10L (5.4x). Only the faster-growing accounts we measured reached that pace in the same time, but they did reach it. The main problem in this scenario is scaling ad spend. Separate layers stop prospecting and retargeting competing for the same budget. The audit positions the brand in this scenario against the alternatives buyers are weighing.

   How it works

   Retargeting sits next to prospecting and never replaces it. The audit sets the creative and site work for the first weeks.

2. 2

   Measurement & reviews · Month 1 to 6

   What we do

   We set the path from ₹1.7L–₹2L to ₹10L as written monthly numbers, and read every review against the month so far. We log store orders every day beside what the ad platform claims. We set a written rule: no budget step in a month where return falls too far to pay for it.

   Why

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

   How it works

   Written monthly numbers make each scaling decision explicit. The sheet is read before each budget change. 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, keeping carousel on a short leash because its return trails the account. The learning month runs with a deliberately small daily budget until orders prove the buyer. We buy creative in batches and give each batch a fixed read window before buying more. We make trust the subject of the video: creator reels, customer feedback and founder-led clips.

   Why

   Early spend buys learning, not scale. Buying more before a batch is read means paying for guesses. Video built on trust was the format that held return in most measured accounts.

   How it works

   Only confirmed orders at the low budget unlock the next step. Only ads that convert inside the window keep running. Low-quality UGC is pulled and founder-led video takes its place. New ads rise with the budget, most of them video, then catalogue ads.

4. 4

   Scaling · Month 2 to 4

   What we do

   We scale through Month 2 to Month 4 toward ₹10L as the budget rises gently while return holds, with Instagram Reels taking the largest share of spend and Instagram Feed the next. We let return decide budget: more while it holds, less when it slips. We put seasonal collection campaigns in front of each festive and wedding peak.

   Why

   In Month 2 to Month 4 the budget rises gently, while return on spend holds. Three of these months stop their budget step where return slips too far. Return holds through these months because each budget step stops where return starts to slip. Seasonal demand moves by region, so the spend does too.

   How it works

   Each month's budget is set by the return the last one earned. Budget moves between regions as the calendar turns. Instagram Reels carries the largest share of spend in the final month, with Instagram Feed next. Cold audiences take most of the budget; warm audiences return more per rupee.

5. 5

   Steady state · Month 5 to 6

   What we do

   From Month 5, we protect the revenue already built and move toward ₹10L where return permits. 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

   From Month 5 growth slows while revenue is still under ₹10L. Budget stays about level over these months. A measured account showed click-through falling ahead of revenue, so tired ads are replaced early. WhatsApp is cheaper than paid retargeting for buyers who already reached checkout.

   How it works

   New creatives mix with proven ones rather than replacing them all at once. Messages run beside retargeting ads.

1. Month 1

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

   • Revenue ₹1.8L
   • ROAS 1.95x
   • Ad spend ₹90,822
2. Month 2

   Scaling starts: repeat-order messages go to past buyers. Budget goes up only as far as return can carry it: budget steps up and return on spend holds.

   • Revenue ₹2.1L
   • ROAS 1.90x
   • Ad spend ₹1.1L
3. Month 3

   A seasonal collection campaign takes a larger share of budget. Budget goes up only as far as return can carry it: budget holds and return on spend holds.

   • Revenue ₹2.2L
   • ROAS 1.86x
   • Ad spend ₹1.2L
4. Month 4

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

   • Revenue ₹2.3L
   • ROAS 1.90x
   • Ad spend ₹1.2L
5. Month 5

   The case study moves into its steady phase, leaning on refreshed ads and repeat buyers.

   • Revenue ₹2.4L
   • ROAS 1.86x
   • Ad spend ₹1.3L
6. Month 6

   The creative bank supplies this period's refresh. Budget goes up only as far as return can carry it: budget holds and return on spend holds. Revenue ends below ₹10L, the number this scenario calls for, because budget stops rising where return starts to slip. Each order costs about what it did while learning.

   • Revenue ₹2.4L
   • ROAS 1.88x
   • Ad spend ₹1.3L

1. 1

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

2. 2

   Instagram Reels carries the largest share of spend in measured accounts across all industries.

3. 3

   Test Static image alongside the main format: it reached the top creative tier most often in measured accounts across all industries.