New leads
By source and campaign, deduplicated across channels.
IllustrativeHome / Services / Business Analytics Dashboard
Ads & AnalyticsAn analytics dashboard that shows the whole funnel in one place
Leads, response times, bookings, deals, ad spend and reviews — pulled into one dashboard your team actually checks, with plain-language summaries.
One source of truth
AI summaries
Anomaly alerts
Illustrative example — sample dashboard
- Leads 214 this month, across 4 sources.
- First response median 51s, up from last week.
- Booked 63 appointments, 71% show rate.
- Deals 18 won, tagged to source and campaign.
★★★★★ 4.9/5 rating
1,200+ reviews
8+ years
500+ clients
Figures above are illustrative sample data for layout only — not a Praktivo client result.
Mockup
One dashboard, the numbers that matter
A unified funnel view with the source and last sync time on every metric — so you always know where a number came from.
First response
Median time to first reply, with the slow outliers listed.
IllustrativeBooked & show rate
Appointments booked, attended and no-showed.
IllustrativeDeals & spend
Won deals against ad spend, by channel and campaign.
IllustrativeIllustrative example Every card shown is a layout sample. Real dashboards show your own connected data, with source and last-sync labels on each metric — never invented numbers.
The problem it solves
Six tools, six versions of the truth
When the ad platform, the CRM, the calendar and the review profile all disagree, reporting becomes a guess. Building the weekly numbers by hand takes hours — and by the time it is done, everyone trusts a different version.
- Lead, booking and revenue data live in different systems with no shared view.
- Nobody can say what a booked call truly costs after spend and follow-up.
- Slow first-response times hide inside the CRM where no one looks.
- Weekly reporting is manual, slow and inconsistent.
- Decisions get made on gut feel because the numbers are never in one place.
This week: leads steady, but first-response time drifted from a median of 51s to 4m on Tuesday. Bookings held, show rate dipped 3 points. Google Ads cost per booked call rose while Meta stayed flat.
Why did Tuesday slip?
A single channel had no after-hours coverage between 6–9 pm. There is a workflow for that — want me to open it?
What the dashboard does
Unified metrics, honest labels, plain language
Every metric is defined with you, sourced from a system you control, and summarised in words a busy owner can act on.
Unified funnel metrics
Leads, response, bookings, shows, deals and reviews in one continuous view of the journey.
Source & campaign
Performance split by channel and campaign, including offline calls where call tracking is in place.
Response-time tracking
Median and worst-case first-response times, so slow leaks are visible before they cost deals.
Booking & show rate
Booked, attended, rescheduled and no-showed, mapped to the channel that produced them.
Sales & revenue fields
Won deals and revenue fields pulled from the CRM, tied back to the original source.
Review & reputation
Rating trend and reply time alongside the funnel, so reputation sits next to demand.
Scheduled reports
Daily, weekly or monthly summaries emailed to whoever needs them, in the format you choose.
AI plain-language summaries
Reads the week in a short paragraph and points at the one thing that changed — no jargon.
Anomaly alerts
Flags an unusual spike or drop — a channel going quiet, or response time slipping — as it happens.
The funnel view
The whole journey, in one line
The same ten steps the whole system runs on, each one wired to a metric you can watch.
1
Traffic
Spend and sessions.
2
Capture
Leads by source.
3
AI Response
First-response time.
4
Qualification
Fit and score mix.
5
CRM
Data completeness.
6
Follow-Up
Touch count to reply.
7
Appointment
Booked and show rate.
8
Sales
Won and revenue.
9
Reactivation
Dormant leads revived.
10
Analytics
All of it, one screen.
Human in control
What stays human
A dashboard is only as honest as its definitions. The decisions about what the numbers mean, and what to do about them, stay with your team.
- How each KPI is defined and which one is the source of truth.
- Interpreting a dip — and whether it is a problem or noise.
- Budget and strategy decisions the numbers inform.
- Sign-off on any figure that goes to clients, boards or investors.
- Correcting a source system when two tools disagree.
We never present a fabricated result. Where a source is missing or late, the dashboard says so rather than filling the gap with a guess.
Illustrative example — a flagged mismatch
- 08:00 Weekly report runs from all connected sources.
- 08:00 The ad platform and the CRM disagree on lead count.
- 08:00 The dashboard flags the mismatch instead of averaging it.
- 08:05 A person confirms the correct source and fixes the rule.
Where it sits
How it fits the full system
Analytics is the last step of the journey and the first place you look each week — it turns every earlier step into a number your team can improve.
Sibling services
- Marketing Attribution — the revenue-side detail behind each channel.
- CRM Automation — keeps the source data clean enough to trust.
- Sales Pipeline Automation — feeds stage and velocity numbers.
Where it works best
- Home Services — spend, calls and booked jobs in one view.
- Law Firms — high-value enquiries where response time matters.
- Course Creators — many campaigns, one honest funnel.
Related workflows
- Attribution reporting — the routine behind the weekly view.
- CRM cleanup — fixes the data before it distorts a metric.
Integrations
Built on the systems that hold your data
The dashboard does not create a second set of books — it reads from what you already run. Common connections include GA4 and Google Ads for demand, Meta for paid social, GoHighLevel and HubSpot for the customer record, and PostHog for product and site events. Where a native connector exists we use it; where it does not, we connect via API or webhook.
If you want the view to live in a tool like Looker Studio, that is possible too, and an automation layer such as n8n, Zapier or Make can keep the feeds in sync. We will be honest about any source we cannot reach.
GA4
Google Ads
Meta
GoHighLevel
HubSpot
PostHog
Looker Studio-compatible
n8n / Zapier / Make
FAQ
Analytics dashboard questions
Where does the dashboard get its data?
From the tools you already run — your CRM, ad platforms, calendar, website analytics and review profiles — connected by native integration where available and via API or webhook where it is not. Nothing is invented or estimated silently.
Do we need GA4 to use it?
GA4 helps for website behavior, but it is not required. If you do not have it, we can use your CRM, ad platforms and site events instead, or set up a lightweight analytics layer as part of the work.
Can we export the numbers?
Yes. Views can be exported to a spreadsheet and scheduled reports can be emailed on a cadence you choose, so the figures can live wherever your team already works.
How often does it refresh?
It depends on the source. Ad and site data can refresh through the day, while CRM and revenue fields follow the sync you set — commonly hourly or daily. We confirm cadence per source during the build.
How accurate is it?
The dashboard shows what your connected sources actually report, with the source and its last sync time visible on every metric. Where two systems disagree, the dashboard flags the mismatch instead of hiding it.
How long does setup take?
It depends on how many sources and how many metrics you want. Connecting systems, agreeing definitions and building the first views is usually a staged rollout. We confirm dates after the audit.
Get started
See your whole funnel in one honest view
Share a few details and we will map the metrics that matter to you — and the sources they would come from.
Ready to see the whole funnel in one place?
Book a free AI strategy call and we will map your metrics to the systems you already run.