Turn raw performance data from every channel into a client-ready QBR narrative — in hours
ZeroTwo uses Python to clean and normalize exports from Google Ads, Meta, HubSpot, GA4, and Search Console — then builds the performance narrative: what happened, why it happened, and what happens next. Every client's historical context lives in their Project so every report builds on the last.
Q1 was strong on efficiency but missed pipeline target by 13%. The shortfall is almost entirely in mid-market — enterprise and SMB both hit targets. I've identified the 3 changes for Q2: increase mid-market targeting budget, launch the case study content series, and fix the 4xx errors blocking the pricing page from ranking.
Reporting tools built for agency client delivery
Python cleans the data — ZeroTwo writes the story
ZeroTwo uses Python to normalize exports from Google Ads, Meta, HubSpot, GA4, and Search Console into consistent metrics — then writes the performance narrative: CAC, ROAS, pipeline contribution, and channel attribution, explained in language your client actually understands.
Historical context built into every report
Every client's prior quarter performance, goals, learnings, and strategic context lives in their ZeroTwo Project. Every new report builds on that history — so the QBR conversation is never 'what happened' but always 'here's what we learned and what we're doing about it'.
From data to client-facing QBR in one session
ZeroTwo produces the full QBR package: executive summary, channel breakdown, performance narrative, key learnings, Q2 recommendations, and risk flags — formatted for a client presentation, not an internal spreadsheet.
How to prepare QBRs and client reports with ZeroTwo
Upload performance exports from Google Ads, Meta, HubSpot, GA4, and Search Console. ZeroTwo uses Python to clean, normalize, and calculate consistent metrics across channels — CAC, ROAS, pipeline contribution, and attribution — in one pass.
ZeroTwo compares actual results against agreed targets, identifies where the account over and underperformed, and diagnoses the underlying reasons — budget decisions, creative performance, seasonal factors, or execution gaps — with specific evidence for each.
ZeroTwo writes the QBR narrative in Canvas: executive summary, what happened and why, channel-by-channel breakdown, key learnings, and the strategic context that frames everything. Written for the client audience — not the analytics team.
Based on Q1 performance patterns, ZeroTwo produces specific, prioritized Q2 recommendations with estimated impact, budget implications, and implementation owners — so the QBR ends with a plan, not just a retrospective.
Upload performance exports from Google Ads, Meta, HubSpot, GA4, and Search Console. ZeroTwo uses Python to clean, normalize, and calculate consistent metrics across channels — CAC, ROAS, pipeline contribution, and attribution — in one pass.
More ways agencies use ZeroTwo for performance reporting
More ways to use ZeroTwo
- Agency account audits
The best QBRs start with a structured account baseline — ZeroTwo builds both the audit and the reporting narrative in one workflow.
- Agency campaign planning
QBR recommendations become next quarter's campaign plan — ZeroTwo connects the two into a continuous client engagement cycle.
- Agency social listening
Add competitive context to your QBR — ZeroTwo packages brand monitoring and competitor intelligence alongside channel performance data.
The best QBR is not a data dump. It is a diagnosis with a plan attached. Build one.
Clients stay when they trust the agency knows what happened and has a clear plan for what's next. Use ZeroTwo to turn raw data into a performance narrative — and walk into every QBR with a recommendation deck, not just a spreadsheet.