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MR Jewels · Performance Issue Nº 08 — Bengaluru Google Ads 530-183-4495 · Shopify 1 September 2026
August 2026 · Monthly Business Review

The August Report

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.

Gross sales
₹1.07 Cr
1,960 orders · +21.8%
Google billed
₹10.88 L
Incl. GST · +143%
Gross MER
9.82×
Lowest in 12 months
Incremental ROAS
2.99×
2.24× after reversals
Reversal rate
19.8%
≈₹21.2 L in August
Showroom actions
1,356
On 3% of budget
01

The month in numbers

August 2026

Sales and marketing on one page. The store grew. The account grew four times faster.

Sales — Shopify
Gross sales₹1,06,84,206+21.8%
Discounts−₹5,31,0245.0%
Sales reversals derived−₹21,16,12019.8%
Net revenue₹80,21,93575.1%
Orders1,960+16.1%
Average order value₹5,180+4.9%
Sessions4,20,817+53.3%
Conversion rate0.466%−24.2%
Marketing — Google Ads
Media cost ex-GST₹9,25,231—
Net cost billed₹10,87,899+143.3%
Impressions1,15,59,854—
Clicks1,78,878CTR 1.57%
Average CPC₹5.07₹3.77–9.52
Conversions all2,859.62—
Conversions sales only1,610.70ex-PMax
Available funds, 1 Sep₹18,571½ day
Google spend rose 143%. Gross sales rose 21.8%. Every rupee added in August bought roughly a fifth of what the rupee before it bought.
Daily spend · the shape of the month
Daily spend10 Aug · funds exhausted

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.

02

The scale test

What ₹6.41 lakh bought

Strip out every Google conversion number. Compare July to August using only Shopify revenue and the billing screen. This is the honest read.

2.99× gross

₹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.

Google billed spend₹4,47,196 → ₹10,87,899+143.3%
Shopify gross sales₹87,69,475 → ₹1,06,84,206+21.8%
Orders1,688 → 1,960+16.1%
Sessions2,74,528 → 4,20,817+53.3%
Average order value₹4,938 → ₹5,180+4.9%
Conversion rate0.615% → 0.466%−24.2%

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.

Two methods, no shared inputs

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×.

03

The twelve crore that wasn't

Conversion tracking

Google reported ₹12.56 crore of conversion value in August. The entire company — every channel, paid and organic — took ₹1.07 crore.

11.8×

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.

Daily conversion value · four days hold 98.3%
1–4 Aug · disputed5–31 Aug · credible

Nothing has been corrected. The disputed days are excluded from every headline figure in this report and shown here in full.

As reported · full month
149×

₹8.41 L spend · ₹12.56 Cr value
Not usable

1–4 August only
1,565×

₹78,896 spend · ₹12.35 Cr value
Defective

5–31 August · use this
2.73×

₹7.63 L spend · ₹20.79 L value · ₹1,867 CPA
Credible

04

How conversions run

Lifetime · Jul 2024 – Aug 2026

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.

Lifetime impressions
67 M
Since 9 Jul 2024
Lifetime clicks
1.04 M
CTR 1.55%
Lifetime media cost
₹62.8 L
CPC ₹6.04
Lifetime conversions
7,760
CPA ₹809
August's share
36.9%
Of all conversions ever
August's clicks share
17.2%
Of all clicks ever
August against the whole account history

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.

Daily conversions by campaign · August

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.

Strip those four days and the account converts at roughly 13 a day across five campaigns. That is the real run rate, and every plan should be built on it.
Cumulative conversions · August

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.

₹324 vs ₹809

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.

Lifetime CPA₹8097,760 conv
August CPA, as reported₹3242,859.62
August CPA, clean period₹1,867408.57

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.

05

The leak

Sales reversals · 12 months

The largest number in this review is not an advertising number.

₹2.41 crore

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.

Gross sales · 12 months₹12,18,64,994
Discounts−₹62,29,441
Sales reversals−₹2,41,36,654
Net sales₹9,14,98,899
Shipping and taxes recovered+₹35,76,894
Total sales₹9,50,75,792
Reversal rate by sales channel

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.

The pattern is a product pattern · SKUs above ₹3 L gross
Deity and animal pendantsOpenable kadas and brooches

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%.

₹1,19,134 of August ad spend went to products with a 30%+ reversal history. The account's single biggest-spend SKU reverses at 40.9%. Bidding on gross conversions rewards exactly the products that come back.
06

Where the money goes

Eight campaigns

Shopping takes four rupees in five. Search takes seven paise and charges the most for them.

Cost per acquisition against spend · bubble = conversions

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.

The league table
CampaignSpendCPACall
S_Tofu_18july Shopping₹4,49,901₹1,912HOLD
Stand_14Jan Shopping₹2,60,342₹211FIX
Demand Gen_15jan₹60,982₹1,742WATCH
Search | Brand | Bangalore₹57,249₹2,408CUT
Sales_PMax_CatchAll₹38,806₹321FIX
PMax | Store | Bangalore₹27,025₹28SCALE
Demand Gen | Remarketing₹9,999—WATCH
Brand_3june₹3,093₹36SCALE

Channel split. Shopping ₹7,10,243 · Performance Max ₹81,602 · Demand Gen ₹73,050 · Search ₹60,336.

The brand problem
₹2,408 vs ₹36

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.

Indiranagar₹55.99 CPC4.19 conv
Bengaluru city₹11.67 CPC9.09 conv
22 postcode rows₹13,6000 conv

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.

07

The twelve-month arc

Sep 2025 – Aug 2026

Revenue has been flat-to-down since February. Spend has not.

Gross sales against Google billed spend · same axis, same units
Shopify gross salesGoogle billed spend

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.

Gross MER by month · sales ÷ Google billed

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.

9.82×

Down from 19.61× in July. Marketing efficiency halved in a single month.

Best month · Sep '2529.10×₹2.32 L spend
12-month average19.00×—
Prior floor · Nov '2513.65×₹8.18 L spend
August '269.82×₹10.88 L spend

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.

08

The twenty-six-month arc

Jul 2024 – Aug 2026

From ₹1,214 to ₹10.88 lakh. The account grew twenty-six months. The funding method did not.

Billed net cost by month

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.

₹18,571

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.

Aug '26 vs Jul '26+143.3%
Aug '26 vs Aug '25+548.0%
09

The catalogue

8,396 SKUs

Two-thirds of the catalogue has never been shown. The ads are pointed at necklaces. The business is built on kadas.

In the feed
8,396
Merchant Center 5383672764
Ever shown
33.8%
5,562 SKUs never got an impression
Throttled or blocked
67.4%
5,656 SKUs on missing feed fields
80% of value
140
1.7% of the catalogue
Shopify's ten biggest sellers, twelve months

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.

₹1,80,256

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.

10

The demand side

505,231 search terms · full export

The complete report arrived. It corrects two things this review got wrong from the sample — and produces the largest waste figure in the account.

Terms named
5,05,231
₹5.64 L · 61% of spend
Terms that took cost
43,797
8.7% of those named
Terms that converted
1,026
2.3% of paid terms
Zero-conversion spend
₹4.99 L
88.5% of named search spend
CPA where it works
₹37
₹64,932 → 1,744 conversions
Unnamed by Google
₹2.53 L
872 conversions, no query given
₹4.99 lakh

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.

Share of each campaign's search spend that converted nothing

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.

Local intent takes 4.3% of search spend and returns 25% of the conversions. It converts at ₹56. Everything else converts at ₹413.
Cost per conversion by demand theme
Under ₹200₹200–500Over ₹500

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.

Correction · what the sample got wrong

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.

Competitor brands
Sample said ₹19,501, zero conversions
₹56,623112.5 conv
Brooch
Called wrong-category. It is not — three brooches are top-20 sellers on Shopify
₹26,50465.4 conv
Men's
₹420 CPA — expensive, not worthless
₹26,27962.6 conv

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 negative list, as it should actually be built
Cut · competitor terms with zero conversions, ≥₹100₹19,09167 terms
Cut · off-catalogue: watches, apparel, bags, bullion, repair, chain₹10,124~1,450 terms
Cut · single terms above ₹500 with nothing back₹28,94232 terms
Immediate, defensible cut≈₹50,0005.4% of spend
Keep · competitor terms that convert₹9,777₹87 CPA
Keep and expand · local intent₹24,487₹56 CPA

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.

The single worst term in the account
₹117 per click

mr jewels indiranagar — ₹3,167 on 27 clicks, zero conversions. A navigational query for your own store, in your own neighbourhood.

swarovski₹1,712343 clicks · 0
brooch for men₹1,521126 clicks · 0
polki jewellery₹1,492313 clicks · 0
sabyasachi jewellery online₹1,3093 clicks · 0
pendant necklace₹1,28912 clicks · 0
mrjewels bengaluru₹1,04336 clicks · 0

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.

A tracking break nobody logged · tracked checkouts as a share of real orders
Coverage healthyTracking degraded

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.

The funnel Shopify can see — and the one that matters

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.

Competitive position · auction insights
MR Jewels<10% share61.8% top of page
palmonas.com14.51%65.6%
myntra.com · overlaps 18.1% of auctions14.12%69.0%
amazon.in10.79%69.8%
giva.co<10%71.6%
kushals.com<10%64.1%

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.

11

Audience, timing and place

Where the demand actually is

A Bengaluru showroom advertising to the whole country. Mobile carries almost everything.

Impressions by day and hour · 168 cells
LOWHIGHPeak 3PM Wednesday · trough 3–5AM

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.

Device
Mobile₹8,48,02293.5%
Computers₹49,2335.4%
Tablets₹7,4220.8%
TV screens₹2,7200 conv

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.

The showroom · Indiranagar
1,356 local actions

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.

Store & Showroom 01 EXCELLENT₹22,891₹29.35 CPA
Bridal & Trousseau 02 EXCELLENT₹1,915₹26.60 CPA
Festive & Gifting 03₹2,220₹20.18 CPA

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.

Sessions by city · 12 months

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.

12

Attribution, and the customer

Who is actually buying

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.

Orders with a known source
3.4%
708 of 21,015
Sales attributable
9.6%
₹83.6 L of ₹8.67 Cr
New customers
79.6%
14,534 new · 3,733 returning
Blended AOV
₹5,105
All 21,015 orders
Google paid conv. rate
0.004%
726,105 sessions → 26 orders
Google organic conv. rate
0.105%
53,207 sessions → 56 orders
Referring channels with orders · sessions against orders
SessionsOrders

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.

7,26,105 sessions

26 orders. Google paid produced more sessions than any other named channel and the worst conversion rate of any channel at scale — 0.0036%.

Google organic53,207 → 560.105%
Google paid7,26,105 → 260.0036%
Organic AOV₹19,996highest of any channel
Paid AOV₹7,680lowest but one

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.

Paid channels bought 1.59 million sessions and are credited with 93 orders. Organic brought 88,981 and is credited with 105. Eighteen times the traffic, fewer sales.
Read this before quoting anything above

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.

The customer mix — answered for the first time
New customers14,53479.6%
Returning customers3,73320.4%
Returning customer rate23.51%Shopify headline
Month-1 repeat9.6–12.6%decays to ~1%

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.

Best and worst converting sources at scale
kwikchat · chat / WhatsApp0.198%101 orders · ₹4.84 L
Instagram organic0.116%35 orders
Google organic0.105%56 orders
Direct0.030%65 orders
Instagram (unknown type)0.029%159 orders · largest
Facebook paid0.007%37 orders
Google paid0.004%26 orders
YouTube paid47,828 sessions0 orders

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.

Social — the other half of the budget, unmeasured here
Instagram · total sales₹18,79,365176 orders
Facebook · total sales₹16,88,367144 orders
Instagram sessions8,36,042all types
Facebook sessions14,24,604all types
Meta ad spend—still not supplied

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.

13

The ledger

One number still missing

Nine rungs of ten are known. The tenth decides whether August made money.

Gross sales₹1,06,84,206actual
Discounts−₹5,31,024actual
Sales reversals−₹21,16,120derived
Net revenue₹80,21,935derived
Cost of goods—missing
Gross profit—blocked
Google media cost ex-GST₹9,25,231actual
Google cash cost₹10,87,899actual
Meta and other ad spend—missing
Contribution margin—blocked

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.

44.6%

The gross margin new Google spend has to clear to be contribution-positive, after reversals and GST.

Google clean period, gross2.73×36.7%
Incremental, gross, billed2.99×33.4%
Incremental, net, billed2.24×44.6%
Whole-account gross MER9.82×10.2%

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.

14

What we built in August

The work log

Three campaigns launched, five asset groups written, four build specs delivered and an ops system stood up — inside one month.

The month, as it was worked · 12 events · hover for detail
LaunchedScaledDocumentedIncident
Launched · 3 campaigns
PMax | Store | Bangalore Core
First showroom campaign. Three asset groups, local inventory and store goals.
₹27,0251,356 actions
Search | Brand | Bangalore
Four ad groups AG01–AG04. AG04 exact + misspellings published 17 Aug.
₹57,249₹2,408 CPA
Demand Gen | Remarketing (C04)
Cart recovery. AG01 Cart 0–7d with three ads; AG02 Cart 8–30d at month end.
₹9,99992 view-thru

₹94,273 of new campaign spend — 10.4% of the month — none of which existed in July.

Written · 5 asset groups
Store & Showroom 01 EXCELLENT
15 headlines, 50 search themes, 20 images
₹22,891₹29 CPA
Bridal & Trousseau 02 EXCELLENT
Built 21 Aug · 25 search themes
₹1,915₹27 CPA
Festive & Gifting 03
24 seasonal themes — Navratri to Diwali
₹2,220₹20 CPA
Catch All + Asset Group — Open
Inherited, ad strength still Average
₹38,806₹321 CPA

The three new store groups all landed at ₹20–29 CPA. The two inherited groups sit at ₹287–367.

Delivered · specs and systems
Account command dashboard — 27 Aug
Responsive HTML + PDF, everything implemented and planned
SHIPPED
Notion ops hub — 27 Aug
Daily Work Log, Pending Register, Creative Requests, Change Log
LIVE
Call-tracking build spec — 28 Aug
Exotel, split architecture across Search, GBP, site and offline
NOT BUILT
100 orders/day plan — 28 Aug
Against a ~57/day run rate, ahead of non-brand Search
PENDING
Stage 4 remarketing spec — 28 Aug
₹2,000/day, zero net new budget
BUILT
C04 AG02 build spec — 31 Aug
Image + product + video, Cart 8–30d
BUILT
The build was good. Three of five new asset groups came in under ₹30 a conversion. What let the month down was not the work — it was the measurement it was steered by, and the balance it ran on.
Scaled, and what it cost
S_Tofu_18july · ₹1,22,018 → ₹4,49,901+268.7%CPC fell to ₹4.67
Sales_PMax_CatchAll · ₹6,087 → ₹38,806+537.5%on bad data
Stand_14Jan · ₹1,73,483 → ₹2,60,342+50.1%on bad data
Brand Search daily budget · ₹2,000 → ₹3,100 17 Aug+55%₹2,408 CPA

One 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.

Scorecard on the month's work
Campaigns launched3all live
Asset groups written32 Excellent
Ad groups published6AG01–04, C04 AG01–02
Build specs delivered41 not yet built
Systems stood up2dashboard + ops hub
New spend under management₹94,27310.4% of month
Days of delivery lost1billing, not build
15

Verdict

Five moves, ranked

Ordered by money at stake, not by effort.

1

Attack the reversal rate

₹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.

Owner Danny frames · client ops executesBy 10 SepAt stake ~₹5L/month
2

Point the budget at what stays sold

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.

Owner DannyBy 12 SepAt stake ₹1.80L + ₹1.19L/month
3

Fix both plumbing failures

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.

Owner Danny + client financeBy 4 SepAt stake Unblocks bidding · ₹32k/outage
4

Collapse brand search, fund Bridal

₹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.

Owner DannyBy 8 SepAt stake ~₹40k/month redeployed
5

Clean the waste, close the P&L

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.

Owner DannyBy 15 SepAt stake ≈₹50k/month
September plan

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.

The five-minute version

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.

16

The problem register

Everything open, by owner

Forty-two issues found across the account, the store and the process. Ten are critical. Sixteen of them are not marketing problems at all.

Critical
10
Blocks a decision or costs money now
High
14
Fix inside 30 days
Medium
13
Fix this quarter
Low
4
Housekeeping
Owned by Danny
26
Marketing and account
Client or shared
16
Ops, finance, product, data
A · Tracking and measurement · 13 issues
Conversion value inflated. ₹12.33 Cr on Stand_14Jan across four days — 11.8× the company's monthly revenueCRITDanny
Bidding optimises on gross conversions, not net of reversals — so it rewards the products that come backCRITDanny
Shopify funnel sees 3.5% of orders. Reports a 0.01% conversion rate against a true 0.466%CRITClient
93% of Shopify revenue is unattributed — ₹8.86 Cr under "None". Headless checkout strips the referrer, so no channel revenue split is possibleHIGHClient
Checkout tracking broke Feb–May 2026. Coverage fell from 41.9% of orders to 2.9%; every conversion-rate trend in that window is voidHIGHClient
Only 3.4% of orders carry a referring channel. 708 of 21,015 — channel performance cannot be judged from ShopifyCRITClient
Google names only 61% of search spend. ₹2.53 L sits in unnamed "Other search terms" carrying 872 conversions — a quarter of demand cannot be inspectedMEDDanny
Call outcomes unmeasured. 145 call taps, no duration or answer data. Exotel build specced but not liveHIGHDanny
{ignore} ValueTrack placeholder resolving as a landing page — ₹11,399 of clicks untraceableMEDDanny
Three conflicting auction-insights top-of-page figures: 61.82%, 61.89%, 54.53%MEDDanny
Three conflicting account cost totals: ₹9.07 L, ₹9.25 L, ₹10.88 LMEDDanny
Lifetime overview carries two undocumented view filters; its ₹62.8 L will not reconcile to billingMEDDanny
Store visits is a modelled metric with a reporting threshold, quoted as if countedLOWDanny
B · Management and process · 10 issues
Spend scaled 143% on an unverified value signal. The decision to triple budget was made on numbers now known to be wrongCRITDanny
Gross margin never supplied. Profitability has been unanswerable for three consecutive reviewsCRITClient
Meta spend not supplied. Meta drives 2.26 M sessions — more than Google paid — and ₹35.7 L of attributable sales, none of it judgeableCRITClient
Sales_PMax_CatchAll scaled 537% on defective conversion data with no verification stepHIGHDanny
Brand budget raised ₹2,000 → ₹3,100/day, against the build spec's own ₹150–200 recommendationHIGHDanny
Two brand campaigns left competing for the same demand at a 66× CPA gapHIGHDanny
No monthly reversal report ever requested from ops — the largest cost in the business is unmonitoredHIGHBoth
Bridal and Festive asset groups left on ₹4,135 combined, going into peak seasonMEDDanny
Demand Gen remarketing left running at zero conversions with no stop-or-continue decisionMEDDanny
Two disapproved assets and one stuck in review, unactionedLOWDanny
C · Product and operations · 10 issues
19.8% of gross sales reversed — ₹2.41 Cr in twelve months, ≈₹21.2 L in August. Larger than the ad budgetCRITClient
fastrrv3 reverses at 23.8% against the native Online Store's 6.7% — 3.6× on 75.8% of revenueHIGHClient
Deity and animal pendants reverse at 40–63% and top the sell-through list. Impulse buys that do not stickHIGHClient
RTO versus customer-return split unknown. One is a logistics fix, the other a product fix — opposite actionsHIGHClient
5,656 SKUs throttled on missing age_group, gender and color. One feed rule fixes itHIGHDanny
5,562 SKUs never received a single impression — 66% of the catalogue is dormantMEDDanny
1,861 SKUs consumed ₹1,80,256 and returned nothing — 24.9% of Shopping spendMEDDanny
Site conversion rate fell 24% under scale, 0.615% → 0.466%MEDClient
1,753 variants (34.7%) sold nothing in twelve months, holding 4,574 units of stockHIGHClient
531 SKUs advertised while out of stockLOWClient
D · Billing, finance and account structure · 9 issues
Manual netbanking top-ups on a ₹10.88 L/month account. Two blackouts in one month; ₹18,571 left on 1 SeptemberCRITBoth
GST-inclusive cost is invisible in every Ads report — all CPAs understated by 18%HIGHDanny
10 August lost to a balance stop — ≈₹32,000 of forgone deliveryMEDBoth
No budget alert or floor configured on the accountMEDDanny
Shopping is 77% of spend with no SKU segmentation — hero products compete with 8,256 others for deliveryHIGHDanny
88.5% of named search spend converts nothing — ₹4.99 L across 42,771 terms. A feed and structure problem, not a negatives problemCRITDanny
Local intent gets 4.3% of search spend and converts at ₹56 against ₹413 everywhere else. Structurally under-fundedHIGHDanny
Collection pages barely used as destinations — category queries land on the homepage at ₹11.52 a clickMEDDanny
TV screens unexcluded (₹2,720, 0 conversions); two videos on an unlinked YouTube channelLOWDanny
Sixteen of the forty-two sit outside the ad account — in checkout, in the product mix, in finance, and in data that has never been handed over. The marketing is not the constraint it looks like.