Analytics & Reporting War Room
One place where your store, ads, email and ops data are cleaned, joined and turned into decisions – not twenty random dashboards nobody logs into.
AURA builds your “war room”: a tight set of reports that show what’s working, what broke and what to do next – refreshed automatically and delivered where you actually look.
What this system does
- Connects your data from store, ads, email, support and reviews into a clean model.
- Defines your KPIs – what you’ll actually track weekly and monthly (and why).
- Builds reports & dashboards for founders, marketing, ops and finance.
- Automates refresh & delivery so the right people see the right views on schedule.
- Captures context – promos, changes and experiments logged alongside the numbers.
Guardrails
No vanity metrics. We keep to simple, interpretable numbers tied to profit, growth and customer health – not “time on site” graphs that don’t change decisions.
Delivery
AURA maintains the data flows and reports; you get live dashboards + scheduled summaries in Slack, email or whatever you already use.
Where it sits in your stack
- On top of your tools – we read from them, we don’t replace them.
- Feeding leadership & team with one shared version of “what happened”.
- Tied into systems like Daily CFO & Product Feed so you see the full picture: traffic → conversion → profit.
Works with
Native dashboards, warehouse/BI tools, custom exports – AURA becomes the layer that makes them agree and turns data into actions.
Who runs it
Founders, growth leads and ops use the outputs; AURA keeps the plumbing, metrics and definitions stable.
How the Analytics War Room runs
We agree which questions matter (and which don’t) before touching tools.
Store, ads, email, support and finance data are ingested and cleaned.
We design founder, marketing and ops views that answer those questions.
Weekly and monthly cycles turn numbers into decisions and new experiments.
Inputs we need from you
- Access to your store, ad accounts and key tools (read-only where possible).
- Any existing reports, dashboards or exports you already rely on.
- Your goals and constraints – revenue, profit, runway, workload.
- Team structure: who needs what view and how often.
Outputs you get every cycle
- Clean dashboards that don’t contradict each other.
- Weekly and monthly summaries with clear “do this next” notes.
- Experiment logs tied to performance, not in random Notion pages.
- A data layer that can feed future AI systems as you grow.