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GoHighLevel reporting for franchise marketing directors.
RollupFox gives franchise marketing directors one view of lead and appointment performance across every location's GoHighLevel subaccount. It answers which markets produce demand and which locations turn that demand into booked appointments and sales.
The questions you're trying to answer
Marketing directors bring the same recurring questions to every review. RollupFox answers each from GoHighLevel data.
Which markets are generating the most leads?
RollupFox counts contacts created per location and rolls them into market and network totals, so you can see where demand is concentrated.
Which locations turn leads into booked appointments?
Booked appointments are counted per location alongside new leads, so you can see conversion from interest to a scheduled visit by market.
Which lead sources show up on booked appointments?
RollupFox reports the lead source values stored on contacts in GoHighLevel next to appointments booked, so you can see which sources are associated with booked demand.
Are my strong markets consistent over time?
Date ranges let you compare this month, last month, or a custom window, so you can tell a real trend from a one-month spike.
KPIs marketing directors watch
A marketing-focused roll-up usually centers on these KPIs and their GoHighLevel sources.
| KPI | Counts from in GoHighLevel |
|---|---|
| New leads | Contacts created in the period |
| Booked appointments | Appointments booked on mapped calendars |
| Appointment show rate | Appointments marked showed vs booked |
| Lead source | Source field and source tags on contacts |
| Closed-Won | Opportunities marked Closed-Won |
| Pipeline value | Sum of opportunity values |
Illustrative set. You decide which KPIs appear on your dashboard.
One definition, every market
Marketing reporting breaks down when each location counts a booked appointment differently. RollupFox applies one KPI definition across every subaccount, so a booked appointment in one market is the same as a booked appointment in another.
Locations set up differently are flagged and resolved with an override, and each KPI shows how many locations are included, so you can present numbers leadership won't second-guess.
That consistency is what makes a marketing review productive. Instead of debating whether a market's numbers are real, you spend the meeting on why one market outbooks another and what the teams there are doing differently.
Because the lead source values already recorded in GoHighLevel travel with each contact, you can line up booked appointments against the sources that produced them, market by market, and see where demand and conversion actually meet.
Over a few reporting cycles, that turns into a clear read on your channels and markets. You can tell which markets reliably produce booked appointments and which generate leads that stall before a visit.
None of it depends on manual tag cleanup at the corporate level. RollupFox reads what each location already records and presents it consistently, so the marketing review starts from agreed numbers instead of a reconciliation argument.
With date ranges, you can hold a market to its own history rather than a single snapshot. A campaign that lifted booked appointments for a month should hold up over the next one, and the comparison makes that obvious.
The result is a marketing story you can take to leadership with confidence: where demand came from, which markets converted it, and what to do more of next quarter.
Frequently asked questions
Can RollupFox attribute revenue to specific ad campaigns?
RollupFox reports the lead source values already stored in GoHighLevel next to your appointment and pipeline KPIs. It does not connect to ad platforms or perform campaign attribution beyond those recorded source values.
Can I compare markets over different time periods?
Yes. You can set the dashboard to this month, last month, a quarter, a year, or a custom date range and compare markets on the same basis.
How do I know a market total is complete?
Each KPI shows how many locations are included. Locations with incomplete mappings are flagged and excluded until resolved, rather than counted as zero.