Data & BI Dashboards for Multi-location Businesses
Branch performance in eleven separate systems with no comparison.
Business intelligence work consolidates data from ad platforms, CRM, your product and your accounting system into one warehouse, with agreed metric definitions, and presents it as dashboards. For a business with branches across several cities, the work is judged on an enquiry routed to the right branch, first time. Consolidated reporting per location, normalised so branches are genuinely comparable.
What is costing you money today
Branch performance in eleven separate systems with no comparison.
One page listing twenty branches, which ranks for none of them, and a single phone number that routes every caller to a head office that cannot help.
What changes once this is in place
Consolidated reporting per location, normalised so branches are genuinely comparable.
How multi-location businesses actually buys
Varies by branch, but the constant is that the enquiry has to reach the correct location without a human re-routing it.
- The unit of value
- an enquiry routed to the right branch, first time
- The common mistake
- One page listing twenty branches, which ranks for none of them, and a single phone number that routes every caller to a head office that cannot help.
- What we do instead
- A real page per location with its own address, hours, staff and reviews, and routing that sends the enquiry to that branch's own inbox.
What it has to talk to
A build for a business with branches across several cities is mostly integration work. These are the systems we expect to exchange data with:
- Google Business Profile at scale
- Branch-level CRM routing
- Local landing pages
- Call routing
The words your buyers actually use
Generic service copy loses to copy written in the vocabulary of the vertical. These are the terms that carry intent here, and the ones the pages we build are structured around:
- branch near me
- locations
- store locator
- city name + service
- opening hours
The rules this sits under
Local listing accuracy rules, and per-state or per-country tax and disclosure differences that the site has to reflect honestly.
What you get
- Metric dictionary — Every metric that matters, defined in a sentence, agreed by the people who use it. The most valuable and least exciting deliverable here.
- Data pipelines — Automated extraction from ad platforms, CRM, store, product and accounting systems, with failure alerting.
- Warehouse — A modelled layer where the joins and transformations live once, so every dashboard reads the same numbers.
- Dashboards — Executive, marketing, sales and operations views, each built around the decisions that audience actually makes.
- Attribution model — Spend joined to leads joined to closed revenue, with the model's limitations stated rather than hidden.
- Automated distribution — Scheduled summaries to email or Slack, so the numbers reach people who will not open a dashboard.
- Alerting — Thresholds on the metrics that matter, so a problem announces itself rather than waiting for the monthly review.
- Documentation and training — How the data flows, what each metric means, and how to add a chart without breaking anything.