India · Electric mobility and RC ecommerce

We rebuilt paid growth—and helped the store keep it.

An Indian electric-mobility and RC retailer came to us at a customer-reported 1–2× ROAS. We repaired tracking, rebuilt acquisition, recovered a later dip, and reached 11.08× Google Ads platform ROAS. Shopify then revealed the next constraint: excessive sales reversals.

  • Tracking repair
  • Acquisition rebuild
  • Shopify reconciliation

Google Ads · Q2 2026

11.08× platform-attributed conversion value ÷ cost
Six-month proof
7.71× ROAS
Shopify reversals
−95.7%
Shopify net sales
+122.7%
Google Ads ROAS is platform attribution. Shopify changes compare Q2 2025 with Q2 2026 and do not prove isolated channel causality or profit.

About the starting point: the customer reported the 1–2× range and our tracking-repair role. The dated evidence begins later, so we use the starting range as context—not as independently verified platform history.

01 · The starting constraint

We fixed the signal first.

Adding budget would have scaled a weak signal. We first traced Google Ads, GA4, Shopify, tags, conversion actions, audiences, campaigns, creative-message match, and the path from first visit to purchase.

We repaired the measurement gaps, rebuilt the acquisition structure around observed demand, and gave each funnel stage a clearer job. Only then could the customer judge whether the return was repeatable.

The next question was simple: could the account hold strong ROAS month after month?

01

We traced the result

We compared Ads, GA4, Shopify, tags, and conversion actions before changing spend.

02

We rebuilt acquisition

We aligned audiences, campaigns, creative messages, and funnel handoffs to observed demand.

03

We validated the outcome

We kept Google Ads attribution, GA4 behavior, and Shopify store value separate.

02 · The first breakthrough

Then we made ROAS repeatable.

One strong month would not prove a rebuilt system. Across six dated dashboards from March through August 2025, Google Ads attributed INR 9.48M in conversion value to INR 1.23M in spend: 7.71× aggregate platform ROAS. Every captured month remained at 6.36× or above.

Six-month platform value INR 9.48M
Six-month spend INR 1.23M
Aggregate ROAS 7.71×
View the six monthly Google Ads dashboards March–August 2025 · secondary evidence
Google Ads · March 2025 8.19×

INR 150.6K spend
INR 1.23M platform value

Our Google Ads dashboard evidence for March 2025: 8.19× conversion value per cost
March 2025: INR 1.23M platform value from INR 150.6K spend, or 8.19× Google Ads platform ROAS.
Google Ads · April 2025 7.71×

INR 184.8K spend
INR 1.43M platform value

Our Google Ads dashboard evidence for April 2025: 7.71× conversion value per cost
April 2025: INR 1.43M platform value from INR 184.8K spend, or 7.71× Google Ads platform ROAS.
Google Ads · May 2025 6.82×

INR 204.7K spend
INR 1.39M platform value

Our Google Ads dashboard evidence for May 2025: 6.82× conversion value per cost
May 2025: INR 1.39M platform value from INR 204.7K spend, or 6.82× Google Ads platform ROAS.
Google Ads · June 2025 11.01×

INR 200.4K spend
INR 2.21M platform value

Our Google Ads dashboard evidence for June 2025: 11.01× conversion value per cost
June 2025: INR 2.21M platform value from INR 200.4K spend, or 11.01× Google Ads platform ROAS.
Google Ads · July 2025 6.76×

INR 269.5K spend
INR 1.82M platform value

Our Google Ads dashboard evidence for July 2025: 6.76× conversion value per cost
July 2025: INR 1.82M platform value from INR 269.5K spend, or 6.76× Google Ads platform ROAS.
Google Ads · August 2025 6.36×

INR 220.4K spend
INR 1.40M platform value

Our Google Ads dashboard evidence for August 2025: 6.36× conversion value per cost
August 2025: INR 1.40M platform value from INR 220.4K spend, or 6.36× Google Ads platform ROAS.

03 · The recovery

When ROAS fell, we rebuilt again.

Platform ROAS fell to 4.44× in Q4 2025. We did not defend the old structure or hide the dip. We returned to the signal, re-examined the campaign split, and rebuilt around what the account was now telling us.

Q1 2026 recovered to 8.41×. Q2 reached 11.08×: Google Ads attributed INR 8.89M in conversion value to INR 802.5K in spend.

That solved the acquisition question. It did not answer how much value the store kept.

8.52×
Q2 2025 A strong operating quarter
4.44×
Q4 2025 The account slipped
8.41×
Q1 2026 We recovered efficiency
11.08×
Q2 2026 We set the next high
Google Ads · Q2 2026 · actual dashboard 11.08×

INR 802.5K spend
INR 8.89M platform value

Our Google Ads Q2 2026 evidence: 11.08 conversion value per cost
Q2 2026 verifies the recovery: INR 8.89M in Google Ads conversion value from INR 802.5K in spend. This is platform-attributed value, not Shopify revenue or profit.

04 · The next constraint

ROAS was only half the answer.

Reaching 11.08× solved the acquisition-efficiency question. It did not prove Shopify revenue, retained sales, or profit. We used GA4 to inspect how traffic arrived and behaved, then used Shopify to judge what the store actually kept.

  • We checked the acquisition and measurement context in GA4
  • We kept GA4 reporting separate from Google Ads attribution
  • We used Shopify as the store-outcome layer

Google Ads, GA4, and Shopify answer different questions. We connected them without turning three dashboards into one invented number.

GA4 · Q2 2026 · actual dashboard
Our GA4 Q2 2026 evidence for users, acquisition channels, sessions, countries, and activity
We used this Q2 2026 GA4 snapshot to validate traffic and measurement context—not as a substitute for Shopify sales.

04 · Retain the value

Shopify exposed the value leak.

In Q2 2025, the store recorded INR 8.38M in gross sales but lost INR 5.08M to reversals, leaving INR 3.17M in net sales. By Q2 2026, Shopify recorded only INR 0.22M in reversals and INR 7.06M in net sales. The store was keeping far more of the value it created.

Shopify · Q2 2025 · actual dashboard
Shopify Q2 2025 aggregate dashboard showing INR 3.21M total sales and INR 5.08M sales reversals
Q2 2025: INR 8.38M gross sales, INR 5.08M in reversals, and INR 3.17M net sales.
Shopify · Q2 2026 · actual dashboard
Shopify Q2 2026 aggregate dashboard showing INR 7.10M total sales and INR 0.22M sales reversals
Q2 2026: INR 7.51M gross sales, INR 0.22M in reversals, and INR 7.06M net sales.
Sales reversals −95.7%

INR 5.08M fell to INR 0.22M

Net sales +122.7%

INR 3.17M grew to INR 7.06M

Total sales +121.1%

INR 3.21M grew to INR 7.10M

The customer grew retained value—not gross demand.

Gross sales fell 10.4%, orders fell 18.3%, and sessions fell 49.7%. The store did not win by generating more gross demand. It won by losing far less of the value it had already created. The matched Shopify periods support that store outcome; they do not isolate Google Ads as the sole cause.

What this demonstrates

We rebuilt the whole growth system.

  • The customer came to us at a reported 1–2× Google Ads ROAS.
  • We repaired tracking before rebuilding campaign and funnel structure.
  • Google Ads recorded 7.71× aggregate ROAS across six dated monthly dashboards.
  • We recovered a 4.44× quarter to 8.41× and then 11.08× platform ROAS.
  • We connected Ads, GA4, and Shopify to identify the store-value constraint.
  • Shopify later recorded 95.7% lower reversals and 122.7% higher net sales.

Three dashboards · three truths

We kept every result in its correct meaning layer.

  • The 1–2× starting range is customer-reported context.
  • Google Ads reports platform attribution—not store revenue or profit.
  • GA4 provides traffic and measurement context.
  • Shopify verifies the store trend, not isolated channel causality.

Questions a careful buyer should ask

What do these results actually prove?

Does 11.08× mean Shopify earned 11.08× revenue?

No. It is Google Ads conversion value divided by cost. Shopify sales and profit are separate business measures.

Is the 1–2× starting point independently verified?

No. The customer reported the starting range and our tracking-repair role. The dated dashboard sequence begins later.

Did the store grow because traffic increased?

No. Sessions, orders, and gross sales declined in the matched quarters. The supported outcome is retained-value recovery because sales reversals fell sharply.

What would we inspect in a similar store?

Tracking, conversion actions, campaign structure, audience and product segmentation, GA4 channel behavior, Shopify sales quality, and the gap between attributed and retained value.

Ecommerce growth diagnostic

Is your store keeping the growth your ads report?

Bring us your Google Ads, GA4, and Shopify data. We will identify what the platform reports, what the store retains, and which constraint must be fixed before the next budget increase.

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