Tracerly connects to your store, your ads, and your analytics, then delivers a written diagnosis every week. What changed. What caused it. What to do about it. No dashboards to interpret. No data team to hire.
Every report is reviewed by a human expert before it reaches you. The analysis is AI-fast; the judgment is human, drawn from years of analytics work across eCommerce, automotive, FMCG, QSR, and telecom. Rotman MBA.
You open the laptop to find out how last week went. Here is what your tools tell you.
An hour later you close the laptop and make your best guess. That gap between the data and the decision is exactly where Tracerly operates.
The Monday Report is a written diagnosis, not a dashboard. Here is what every report contains.
Revenue, orders, conversion, and spend. Each compared against last week and the same week last year, so a seasonal dip never gets mistaken for a real problem.
The cause of the change, written in plain English. Cross-referenced across your store, ad platforms, and analytics. Not an observation. An answer.
Two or three specific decisions for the week. Pause this. Revert that. Leave this alone. Never "optimize your funnel."
Every report is reviewed by a human expert before it reaches you. AI does the processing. A human stands behind the conclusion. The mark at the bottom means someone is accountable.
Every report follows the same six-step framework, in the same order, every week. You always know how a conclusion was reached.
Establish the size and shape of the change before drawing any conclusion. Week over week. Year over year.
Break sessions into channels to determine whether this is an acquisition problem or a conversion problem.
Segment conversion by device, page, and source to pinpoint exactly where a drop is concentrated.
Budget delivery, CPM, CTR, and new customer rate. ROAS alone is never sufficient evidence.
Changes are often concentrated in one SKU. Identify whether the issue is volume, price, or mix.
Cross-reference against seasonality, promotions, and competitive activity before any recommendation is made.
I am an analytics leader with experience across eCommerce, automotive, FMCG, QSR, telecom, payments, and technology. I have built measurement frameworks, designed loyalty programs from the ground up, developed predictive models, and presented performance diagnostics at the most senior levels of major organisations.
The through-line has always been the same. Take fragmented data from multiple sources, identify what is actually driving results, and translate that into decisions a business leader can act on with confidence.
I built Tracerly because founder-led eCommerce brands deserve the same caliber of diagnostic thinking that enterprise brands commission from top-tier consultancies. Without the enterprise price tag, the lengthy onboarding, or the junior handoffs.
No contracts. Cancel anytime. Your first report is complimentary, so the decision to continue is made with the deliverable in hand.
Tell us about your store. We connect to your data, run the full diagnostic, and deliver a complete written report. Your first one is complimentary. No credit card. No commitment.