The biggest month the account has ever had. ₹10.88 lakh billed, up 143%. Revenue moved 21.8%. Efficiency halved, 88.5% of named search spend converted nothing, and the largest number in the business turned out not to be an advertising number at all.
Sales and marketing on one page. The store grew. The account grew four times faster.
Three regimes. ₹14,900/day to 9 August. A collapse to ₹533 on the 10th when the balance ran dry — one trading day gone, roughly ₹32,000 of forgone delivery. Then ₹33,000–40,000/day to month end. The account showed "balance exhausted" again on the 31st.
Strip out every Google conversion number. Compare July to August using only Shopify revenue and the billing screen. This is the honest read.
₹6,40,702 of extra spend bought ₹19,14,731 of extra gross sales and 272 extra orders. That is a ₹2,356 incremental cost per order. After the 19.8% reversal rate it lands at 2.24× net.
Sessions grew 53%, orders 16%. The new traffic converted a quarter worse than the traffic it was added to. That is the signature of buying wider, not better.
Google's own clean-period data says 2.73×. The Shopify incremental method says 2.99×. They share no inputs. Landing within 10% of each other is the strongest evidence in this report.
Plan on 2.7–3.0× gross, 2.2–2.4× net. Not 146×.
Google reported ₹12.56 crore of conversion value in August. The entire company — every channel, paid and organic — took ₹1.07 crore.
Google claimed 11.8 times the whole company's revenue. This is not a result to interpret. It is a defect to fix.
Where it lives. Per-campaign daily exports pin it exactly: Stand_14Jan booked ₹12.33 Cr between 1 and 4 August — 99.7% of its entire monthly value, on ₹53,896 of spend. Sales_PMax_CatchAll carries the same signature. Every other campaign behaves normally.
Ruled out. A flat unit error — dividing by ten still leaves 43.75×. Conversion count and value spike together, which points to a duplicated conversion action or a re-imported offline feed. Pull the change history for 1–5 August.
Nothing has been corrected. The disputed days are excluded from every headline figure in this report and shown here in full.
₹8.41 L spend · ₹12.56 Cr value
Not usable
₹78,896 spend · ₹12.35 Cr value
Defective
₹7.63 L spend · ₹20.79 L value · ₹1,867 CPA
Credible
Twenty-six months of account history put August in proportion. It took a sixth of the clicks and booked more than a third of the conversions.
Three bars agree. One does not. August bought 17% of the account's lifetime traffic for 15% of its lifetime cost — and recorded 37% of every conversion the account has ever booked. Remove the disputed campaign's August figures and the share falls to 24.9%, which is still high but no longer impossible.
The engine, drawn. Stand_14Jan booked 1,169.92 of its 1,231.55 conversions in four days — 95%, and 15% of the account's entire lifetime conversion count inside a single week. From 5 August the same campaign runs at a handful a day, like everything else.
Three-quarters of the month's conversions were booked before the fifth of the month. The curve is almost flat afterwards — which is what a normal month looks like.
August's cost per conversion against the lifetime average. It looks like the best month the account has ever had. It is not — it is the same defect, seen from a different angle.
caveat The lifetime overview carries two active view filters and its ₹62.8 L media cost sits below the ₹79.6 L of net cost billed across the same 26 months, even after allowing for GST. Read lifetime figures as directional. The August share comparison holds regardless, because both sides come from the same filtered view.
The largest number in this review is not an advertising number.
Returned over twelve months. 19.8% of gross sales. Roughly ₹21.2 lakh in August alone — close to twice the entire monthly Google budget.
Recovering a quarter of August's reversals is ₹5.3 lakh, half a month of advertising, at no acquisition cost. Nothing in Section 06 comes close to that.
fastrrv3 carries 75.8% of total sales and a 23.8% reversal rate — 3.6× the native Online Store. That one channel accounts for ₹2.31 Cr of the ₹2.41 Cr reversed. This is a checkout-quality question, not a marketing one.
Every line above 40% is a deity or animal pendant — Hanuman, Ganesha, Shiva, Tirupati Balaji, tiger, lion, elephant. They also top Shopify's sell-through at 100%: they sell fast and come back. That is a low-consideration cash-on-delivery impulse buy, not a jewellery purchase. The openable kadas that carry the business reverse at 7–15%.
Shopping takes four rupees in five. Search takes seven paise and charges the most for them.
Bottom-left is where you want to be: cheap and big. PMax Store and Brand_3june sit there. Search | Brand sits alone at the top — small and expensive. The two flagged campaigns are plotted on defective conversion data and are marked accordingly.
| Campaign | Spend | CPA | Call |
|---|---|---|---|
| S_Tofu_18july Shopping | ₹4,49,901 | ₹1,912 | HOLD |
| Stand_14Jan Shopping | ₹2,60,342 | ₹211 | FIX |
| Demand Gen_15jan | ₹60,982 | ₹1,742 | WATCH |
| Search | Brand | Bangalore | ₹57,249 | ₹2,408 | CUT |
| Sales_PMax_CatchAll | ₹38,806 | ₹321 | FIX |
| PMax | Store | Bangalore | ₹27,025 | ₹28 | SCALE |
| Demand Gen | Remarketing | ₹9,999 | — | WATCH |
| Brand_3june | ₹3,093 | ₹36 | SCALE |
Channel split. Shopping ₹7,10,243 · Performance Max ₹81,602 · Demand Gen ₹73,050 · Search ₹60,336.
Two campaigns, one pool of brand demand. Search | Brand | Bangalore spent ₹57,249 for 23.77 conversions. Brand_3june delivered 84.98 for ₹3,093.
The location data shows why. Brand clicks cost ₹55.99 in Indiranagar and ₹11.67 across Bengaluru. 22 of 28 postcode rows returned nothing. AG04 averaged ₹22.64 a click; AG01 ₹20.96.
Paying ₹56 to defend your own name in your own neighbourhood only makes sense if someone is bidding against you. Auction insights shows no advertiser with meaningful outranking share on brand terms.
Revenue has been flat-to-down since February. Spend has not.
Gross sales peaked at ₹1.22 Cr in February and have not returned to it. August's ₹1.07 Cr is the second-best month of the year — bought with more than double February's media spend.
August at 9.82× is the floor of the year, against a 19.0× average and a prior low of 13.65× in November. Google-only — Meta spend was not supplied, so true blended MER sits below every bar shown. Read the shape, not the level.
Down from 19.61× in July. Marketing efficiency halved in a single month.
Repeat purchase runs 9.6–12.6% in month one and decays to about 1% by month six. This is an acquisition-dependent business, which is why efficiency and reversals matter more here than in a subscription model.
From ₹1,214 to ₹10.88 lakh. The account grew twenty-six months. The funding method did not.
Trailing twelve months ₹71.22 L against ₹8.18 L in the twelve before — an 8.7× increase in annual media investment. August alone is larger than the account's entire first fifteen months combined.
Available funds on 1 September, against a ₹33,000/day run rate. Half a day.
The account is on manual netbanking top-ups. The last was ₹15,000 on 31 August. It went dark twice in one month: 10 August, when spend collapsed to ₹533, and again on the 31st.
A ₹10.88 lakh business does not run on ₹15,000 top-ups. Two hours of work, automatic payments and a three-day balance alert. It is the cheapest fix in this report.
Two-thirds of the catalogue has never been shown. The ads are pointed at necklaces. The business is built on kadas.
Seven of the ten are kadas or bangles. Only two appear in Google's top twenty spend. The ad budget is concentrated on necklace sets and chokers; the revenue is not.
Spent on 1,861 SKUs that returned nothing — 24.9% of all Shopping spend.
Three spend traps. Emerald Rajwada Polki Grandeur Choker — ₹12,064 for 5.39 conversions on a ₹66,500 price. Heritage Nakshi Mala Set — ₹7,239 for 3.45. Ziva Pearl Wave Pendant Set — ₹6,387 and 1,792 clicks for one sale.
And the stock behind it. Of 5,046 rated variants, 1,270 (25.2%) sold through completely and 1,753 (34.7%) sold nothing at all, leaving 4,574 units on the shelf. Median sell-through is 50%. The catalogue is barbelled: a quarter clears, a third never moves.
And the fix that costs nothing. 5,200 SKUs are missing age_group and gender; 2,230 are missing color. All three default from the Shopify product type in a single Merchant Center feed rule. One afternoon releases roughly 5,656 throttled products.
The complete report arrived. It corrects two things this review got wrong from the sample — and produces the largest waste figure in the account.
of named search spend went to 42,771 terms that produced nothing. The 1,026 terms that did convert cost ₹64,932 and returned 1,744 conversions — a ₹37 cost per conversion.
This is the largest single waste figure in the review — larger than the ₹1.80 L of dead SKUs, larger than August's reversals. It is also the least surprising: broad-matched Shopping across an 8,396-product feed will always spray. The question is not whether it happens but how much of it you are willing to fund.
596 terms produce 80% of all conversions. The account's entire demand engine fits on three pages.
Two campaigns behave completely differently from the rest. Brand_3june wastes 11% of its search spend and PMax Store wastes 22% — against 86–94% everywhere else. Those are the two campaigns this report has been recommending all along, and the search data reaches the same verdict independently.
Bar length is spend, the number is CPA. Local and brand sit at ₹56 and ₹166 on 8% of the money. Core category — kundan, polki, choker, kada — takes ₹1.71 L at ₹440 with 92% of it converting nothing. Watches and apparel are the only genuinely off-catalogue themes, and together they are ₹10,124.
The top-100 sample used earlier in this review showed 0.00 conversions on every row, which I read as a broken export. It was not. It was a sample artefact — the top 100 terms by cost happen to be the spray, not the sellers.
The recommendation changes with it. A blanket competitor exclusion would have cut 70 terms that return 112.5 conversions at ₹87 each — among the cheapest conversions in the account. The correct move is surgical.
The remaining ₹4.4 L of zero-conversion spend is not a negative-keyword problem — it is a feed and structure problem, and Section 09 is where it gets fixed. Negatives alone will not touch it.
mr jewels indiranagar — ₹3,167 on 27 clicks, zero conversions. A navigational query for your own store, in your own neighbourhood.
caveat Google names ₹5.64 L of the ₹9.25 L account. A further ₹2.53 L sits in "Other search terms" — queries below the privacy threshold, carrying 872 conversions. A quarter of the account's demand cannot be inspected at all.
Checkout tracking broke in February 2026 and has only just recovered. Tracked checkout sessions fell from 41.9% of real orders in December to 2.9% in February, sat between 2% and 4% until May, and climbed back to 57.0% in August — the best coverage the store has ever had. Orders across that window barely moved (2,060 → 1,970 → 1,815 → 1,642), so this was a measurement failure, not a demand collapse.
What it means for this review. Any conversion-rate trend quoted between February and May is meaningless. And August's headline improvement in checkout intent — reached-checkout up 136% on sessions up 53% — is confounded with the recovery in tracking itself. Both moved in the same month. Without the date the fix was deployed the two cannot be separated, so this report does not claim the traffic got better. It claims we finally started seeing it.
Shopify reports a 0.01% conversion rate and flags a warning on it. Do not let anyone quote that number. Its native funnel counted 68 completed checkouts against 1,960 actual orders, because 96.5% of orders complete in third-party checkouts that emit no events. The true rate is 0.466% — and it fell 24% as the scaled traffic arrived.
Below every listed rival on top-of-page rate and under 10% impression share. The search terms show the other half: MR Jewels wins ₹9,777 of competitor-brand traffic at ₹87 a conversion while its own brand term in its own postcode costs ₹117 a click and returns nothing. source conflict Three exports give 61.82%, 61.89% and 54.53% top-of-page; none is picked here.
A Bengaluru showroom advertising to the whole country. Mobile carries almost everything.
Two peaks a day — a midday working window and a 9–11PM evening window that is the strongest block of the week. The 3–5AM trough carries 2.4% of impressions. Wednesday runs 40% ahead of Monday.
Mobile is 93.5% of ad spend and 96.3% of conversions — and 95.1% of the store's 3.56 million sessions. Desktop is 4.5%. This is a phone business end to end. TV screens cost ₹51.32 a click and returned nothing — exclude.
On ₹27,025 — three percent of the budget. 1,153 driving directions at ₹23.44 each, 145 call taps, 58 recorded visits.
It works, and it is the least funded thing in the account. Store & Showroom 01 took 84.7% of the store budget. Bridal & Trousseau 02 — Excellent ad strength, 25 search themes, a ₹26.60 CPA — received ₹1,915 for the entire month. Festive & Gifting 03 got ₹2,220 at ₹20.18.
Navratri, Dhanteras, Diwali and wedding season all fall inside the next quarter. Bridal is also the right product answer to Section 05: considered, high-value, low-impulse — the opposite of a ₹1,500 deity pendant bought on cash-on-delivery at midnight.
58 store visits is a modelled figure with a reporting threshold — treat it as a floor. Directions and calls are counted actions and the more reliable signal.
Karnataka is 9.6% of Indian sessions. Bengaluru alone is 9.0%. Maharashtra sends 1.5× Karnataka's traffic; Hyderabad, Mumbai and Delhi together send 2.6× Bengaluru. The showroom serves one city out of a demand base spread across every metro — and 7.4% of sessions come from outside India entirely, led by 97,561 from the United States.
Shopify can name the source of 3.4% of orders. What that sliver shows is uncomfortable — and it is the first honest look at new versus repeat this business has had.
Bars are on separate scales because the ranges differ by four orders of magnitude — read the mismatch, not the heights. Google paid is the widest session bar and one of the shortest order bars in the account.
26 orders. Google paid produced more sessions than any other named channel and the worst conversion rate of any channel at scale — 0.0036%.
Organic gets 13.6× fewer sessions, 2.2× more orders and 5.4× more revenue — at 2.6× the order value. Even discounted heavily for attribution bias, that gap is too wide to ignore.
Only 708 of 21,015 orders carry a referring channel. The other 96.6% arrive with no referrer, because fastrrv3 and the other headless checkouts strip it. This table is a sample, and a biased one — it over-represents whatever passes a referrer cleanly.
So the honest reading is not "Google paid produced 26 orders". It is: among the orders Shopify can see, paid traffic converts an order of magnitude worse than organic, and Google paid is the worst of them. That is a signal to investigate, not a verdict to act on alone.
It is also consistent with two independent findings in this report: the 2.99× incremental ROAS from Section 02, and the 88.5% of search spend that converts nothing from Section 10. Three different methods, all pointing the same way.
Four in five customers are new. Repeat purchase peaks at 12.6% in month one and falls to about 1% by month six. This is an acquisition treadmill, not a retention business — which is precisely why the 19.8% reversal rate and the cost of acquiring a first order matter more here than in a subscription model. Every rupee of reversal is a customer acquired and lost in the same transaction.
kwikchat converts 55× better than Google paid on a twentieth of the traffic. A chat widget is out-selling the entire paid search budget in the attributable sample. Worth an hour of somebody's attention. Separately: 33 referring channels with more than 100 sessions produced zero orders across 1,47,519 sessions.
Meta drives 2.26 million sessions — more than Google paid — and ₹35.7 L of attributable sales. Without the spend figure none of it can be judged, and the blended MER in Section 07 stays Google-only. This is now the single most valuable missing number after gross margin.
Nine rungs of ten are known. The tenth decides whether August made money.
Rungs 3 and 4 are derived because Shopify's monthly export carries reversed quantity (−595 units in August) but not reversed value. Pull the monthly returns report and they become actuals.
The gross margin new Google spend has to clear to be contribution-positive, after reversals and GST.
Above ~45% gross margin, August's scale-up paid. Between 33% and 45% it broke roughly even and the reversal rate decides it. Below 33% the extra ₹6.41 lakh lost money. One number from finance settles it.
Three campaigns launched, five asset groups written, four build specs delivered and an ops system stood up — inside one month.
₹94,273 of new campaign spend — 10.4% of the month — none of which existed in July.
The three new store groups all landed at ₹20–29 CPA. The two inherited groups sit at ₹287–367.
S_Tofu_18july · ₹1,22,018 → ₹4,49,901+268.7%CPC fell to ₹4.67Sales_PMax_CatchAll · ₹6,087 → ₹38,806+537.5%on bad dataStand_14Jan · ₹1,73,483 → ₹2,60,342+50.1%on bad dataOne of the four scale decisions was sound. S_Tofu absorbed a 513% click increase and its CPC fell — that campaign has genuine headroom. The other three were steered by numbers that Section 03 has now disproved.
Ordered by money at stake, not by effort.
₹2.41 crore returned in twelve months, ₹21.2 lakh in August against a ₹10.88 lakh ad bill. It is concentrated, so it is fixable. Get the monthly reversal report and an RTO-versus-return split from ops — neither is in the data supplied. Test prepaid incentives or a part-payment deposit on the 40%-plus pendant lines. And ask why fastrrv3 reverses at 3.6× the native checkout. A quarter recovered is ₹5.3 lakh a month at zero acquisition cost.
Bidding on gross conversions rewards the products that come back. Move the low-reversal kadas and earrings into their own Shopping campaign with its own target. Drop the 40%-plus pendant lines to a low bid. Park the 1,861 zero-return SKUs in a holding campaign rather than excluding them — some are seasonal. Then write the one feed rule that defaults age_group, gender and color and releases 5,656 throttled products.
Pull the conversion-action change history for 1–5 August. Shopify now proves the scale of the error, so any value-based bid strategy on Stand_14Jan and Sales_PMax_CatchAll is chasing a false signal. When it is fixed, set the value signal to net of reversals, not gross — otherwise the same SKUs win again. Separately, move billing to automatic payments with a backup card and a three-day balance alert. The account has gone dark twice in a month.
₹57,249 at ₹2,408 against ₹3,093 at ₹36 is a structure problem, not a bidding one. One brand campaign, brand-exact CPC capped at ₹8–12 against today's ₹21–23, the 22 dead postcode rows paused, broad moved to phrase. Put the recovery into PMax Store before the season: Bridal & Trousseau has Excellent ad strength and a ₹26.60 CPA on ₹1,915 of spend, and it is the right product answer to the reversal problem. The full search-terms export now makes this the strongest case in the report — local intent converts at ₹56 against ₹413 everywhere else, PMax Store wastes 22% of its search spend against 86–94% elsewhere, and almost every local conversion in the account already comes through it.
Build the negative list surgically, not by theme. The full search-terms export shows a blanket competitor exclusion would have cut 70 terms returning 112.5 conversions at ₹87 each. Cut instead: the 67 competitor terms with zero conversions (₹19,091), the off-catalogue tail — watches, apparel, bags, bullion, repair, chain (₹10,124), and the 32 individual terms above ₹500 that returned nothing (₹28,942). That is ≈₹50,000 defensible immediately. Then: give Demand Gen remarketing two more weeks with a corrected cart audience and a conversion action attached — 92 view-through conversions argue against killing it. Exclude TV screens. Re-upload the two videos on the unlinked channel, clear the two disapproved assets. And get the two missing numbers: blended gross margin, and Meta spend.
Hold spend flat at ₹9.0–9.5 lakh. August proved the account can absorb money, not that it should. Fix mix and reversals, then scale into October and November — ₹11–13 L and ₹13–15 L respectively estimate. At 2.99× incremental gross, October's extra ₹3 L should return roughly ₹9 L gross — but only if the reversal rate does not climb with volume, which is exactly what it did in August.
Reversals cost more than advertising. The 146× ROAS is fiction; the real number is 2.7–3.0× gross. Spend rose 143% and sales rose 22%. The ads are pointed at pendants that come back instead of kadas that stay sold, and 88.5% of named search spend converts nothing. Four in five customers are new and Shopify can name the source of only 3.4% of orders — an acquisition treadmill running half-blind. And two numbers still decide everything: gross margin, and Meta spend.
Forty-two issues found across the account, the store and the process. Ten are critical. Sixteen of them are not marketing problems at all.
Stand_14Jan across four days — 11.8× the company's monthly revenueCRITDanny{ignore} ValueTrack placeholder resolving as a landing page — ₹11,399 of clicks untraceableMEDDannySales_PMax_CatchAll scaled 537% on defective conversion data with no verification stepHIGHDannyfastrrv3 reverses at 23.8% against the native Online Store's 6.7% — 3.6× on 75.8% of revenueHIGHClientage_group, gender and color. One feed rule fixes itHIGHDanny