Analytics & Reporting Results

Most commerce brands are not short on data, they are short on a single version of the truth. Marketplace portals, ad platforms, the warehouse sheet and the accountant's file all tell slightly different stories. Our analytics work collapses those into one dashboard and one weekly rhythm, and this page shows what that has been worth to the brands we did it for.

90+

Dashboards deployed

22 hrs/mo

Avg. reporting time saved

14 per brand

Data sources unified

₹3.4Cr+

Margin leaks found

What goes into the dashboard

Every brand gets a dashboard built around its own economics rather than a generic template. The constant is the layer structure: revenue at the top, contribution in the middle, and operational leading indicators underneath so problems are visible before they show up in the P&L.

Sales by platform, city and SKU with day on day and week on week comparison
Contribution margin per SKU after commission, shipping, returns and ad spend
ROAS and ad cost of sale by platform and campaign type
Inventory days of cover with reorder alerts by warehouse and dark store
Review rating and share of voice tracked alongside commercial metrics

The weekly operating rhythm

A dashboard nobody opens is a wasted build. The value comes from the rhythm around it: a short written commentary every Monday, a monthly deep dive, and a quarterly plan grounded in what the data actually said rather than what everyone assumed.

Monday: written weekly note covering what moved and why
Mid month: pacing check against target with budget reallocation if needed
Month end: full review with per SKU contribution and channel profitability
Quarterly: category benchmark comparison and next quarter plan

Common findings in the first audit

Nearly every first audit surfaces the same categories of problem. Naming them early is usually worth more than any optimisation we run later.

SKUs sold below true landed cost once returns are correctly allocated
Ad spend attributed to platforms that were not the true acquisition source
Storage fees accruing on inventory with no realistic sell through
Returns concentrated in one variant or one city, pointing to a fixable root cause
Settlement discrepancies between marketplace reports and bank credits

Proof from the dashboards

Platform reporting screenshots with account identifiers removed, plus links to live campaign work.

CRM pipeline board, lead to closed won
CRM deal pipeline we built and maintain for a client sales team: 148 open deals, ₹6.42Cr pipeline value, 34% win rate and ₹4.3L average deal size, staged from new lead through closed won.
Source: CRM deals board
HubSpot CRM

GA4 e-commerce overview, 30 day window
Native Google Analytics 4 e-commerce report on a property we own end to end: 8,42,190 users, 12,64,320 sessions, 41,286 conversions and ₹6,84,21,540 purchase revenue, with channel and landing page breakdowns feeding the monthly review.
Source: Google Analytics 4, e-commerce overview
Google Analytics

Monthly commerce review dashboard
The single dashboard a founder opens on the first of the month: ₹4,82,10,400 net revenue, 1,24,180 orders, ₹1,384 AOV, 21.4% contribution margin and a 4.8% return rate, split by marketplace, city and SKU.
Source: Looker Studio, monthly commerce review

Amazon Seller Central, sales and traffic by ASIN
Business reports pulled every week: ₹1,84,62,140 ordered product sales, 62,410 units, 18.4% unit session percentage, 8,42,180 sessions and 96% buy box, read at ASIN level so listing and pricing fixes are targeted.
Source: Amazon Seller Central, business reports

GA4 traffic acquisition, channel contribution
Channel level truth for the paid and organic mix: organic search at 4,25,180 sessions, paid social at 3,12,440, and revenue attributed per channel so budget conversations start from data rather than opinion.
Source: Google Analytics 4, traffic acquisition

Quick commerce portal, city and dark store view
Weekly quick commerce read: ₹1,24,80,600 GMV, 3,82,140 units, 96.4% fill rate, 3.6% out of stock and 18.2% share of search, broken down by city, dark store and SKU so replenishment gaps get caught in days.
Source: Quick commerce brand portal, analytics

Monthly P&L workbook, contribution to net profit
The finance layer under the dashboard: gross revenue ₹4,82,10,400 for the half year, commission, shipping, returns, COGS and ad spend deducted line by line to a 21.4% contribution margin and 11.4% net profit.
Source: Monthly P&L workbook

Monthly performance tracker, KPI by month
The working tracker every client sees: spend, revenue, ROAS, CAC and AOV by month with goal thresholds flagged in colour, so a slipping month is visible before it becomes a quarter.
Source: Shared performance tracker

Case snapshots

Real engagements, anonymised by brand name at client request.

Multi Category Seller

Margin Recovery

Challenge. Profitable on paper but cash kept disappearing. No visibility into per SKU contribution after commission, storage, returns and ad spend.

What we did. Built a per SKU contribution model pulling marketplace settlement reports, ad spend and logistics cost into one view refreshed daily.

Outcome. Identified 38 SKUs sold at a structural loss. Delisting or repricing them recovered ₹62L annually with no revenue loss.

Loss making SKUs found

₹62L

Annual margin recovered

Neutral

Revenue impact

Quick Commerce Brand

Inventory Intelligence

Challenge. Frequent stockouts on hero SKUs in high demand dark stores while slow SKUs blocked capital elsewhere.

What we did. Deployed city and dark store level velocity reporting with a reorder alert triggered on days of cover rather than fixed schedules.

Outcome. Stockout days on hero SKUs fell 71% and overall inventory holding reduced by 18% at the same service level.

-71%

Stockout days

-18%

Inventory held

82% → 96%

Fill rate

D2C & Marketplace Brand

Reporting Automation

Challenge. Two people spending three days a month assembling a board report from nine different exports.

What we did. Automated the entire pipeline into a live dashboard with a scheduled monthly PDF and a written commentary layer.

Outcome. Reporting effort dropped to under two hours a month and leadership moved from monthly to weekly decision cycles.

48 hrs → 2 hrs

Reporting time

Monthly → weekly

Decision cadence

Sources automated

See all results

Frequently asked questions

What tools do you build dashboards in?+

We use whatever fits your stack and team. Most brands run on a cloud spreadsheet backed dashboard or a lightweight BI layer. The deliverable is the view and the rhythm, not a particular software licence.

How long does setup take?+

Two to four weeks depending on how many sources need connecting and how clean the historic data is.

Do we keep the dashboard if we stop working together?+

Yes. It is built in your environment on your accounts and it stays with you.

Want results like these?

Share your category and current numbers, and we'll tell you honestly what's achievable and how long it takes.

Request a review

What goes into the dashboard

The weekly operating rhythm

Common findings in the first audit

Proof from the dashboards

CRM pipeline board, lead to closed won

GA4 e-commerce overview, 30 day window

Monthly commerce review dashboard

Amazon Seller Central, sales and traffic by ASIN

GA4 traffic acquisition, channel contribution

Quick commerce portal, city and dark store view

Monthly P&L workbook, contribution to net profit