Track the growth and revenue your marketing drives, and see which channels and referral sources deliver the most valuable customers.
Quick overview
This dashboard shows how your marketing efforts turn into customers and revenue: new customers acquired, the revenue each customer brings, repeat-purchase loyalty, upsell uptake, and how your revenue splits across marketing channels and referral sources.
Who this is for
Primary audience: Marketing and growth managers
Secondary audience: Revenue and finance leads
When to use it
Decision it helps you make: decide which acquisition channels and referral sources to invest in, based on the revenue and the customer value each one delivers.
Why use this dashboard
Use it to answer a simple question: where is my growth coming from, and is it worth it? You can see whether a channel brings in many customers but little revenue, spot the referral sources that punch above their weight, and check whether the customers you acquire come back and spend more over time.
Access and default filters
📌 How to access: app.smeetz.com > Analytics > Dashboards > Marketing performance
Default date range: the last 30 days, with the previous period shown for comparison.
Data currency: the dashboard shows the time of its last data refresh in the header. Check that tile to see how up to date the figures are.
Filter guide
Filter | What it does | Typical values |
Transaction currency | Limits the dashboard to one currency. | CHF, EUR |
Transaction date | Sets the time window for sales. | Last 30 days, this month |
Product name | Focuses on a specific product or experience. | Any of your products |
Channel | Focuses on one acquisition or sales channel. | Online, point of sale |
Period over period | Overlays the previous period on the KPI sparklines and the revenue trend, so you can compare. | On / off |
Visuals explained
Header band
Dashboard purpose: a one-line reminder of what the dashboard is for.
Last data refresh: the date and time the figures were last updated (Swiss time). Check this to know how current the numbers are.
Headline figures
New customers: how many people made their first-ever paid booking with you in the period.
Avg revenue per customer: the average amount a customer spends across their bookings.
Customer return rate: the share of customers who came back to book again. A key loyalty signal.
Upsell conversion rate: the share of orders that included an add-on or upsell.
Upsell revenue: the extra revenue generated by add-ons and upsells.
Growth momentum
Revenue: your revenue over the selected period, with the same period one year earlier shown for comparison.
Channel performance
Revenue per marketing channel: the share of revenue coming from each marketing channel.
Referral revenue: revenue and percentage of the total, broken down by referral source.
Referral volume: new bookings and percentage of the total, broken down by referral source.
Channel revenue attribution: revenue share by acquisition channel, shown as a stacked bar.
Example scenarios
Find your most valuable channel: compare Revenue per marketing channel against the number of customers each channel brings, to see which one delivers high-value customers rather than just volume.
Spot a loyalty problem: if New customers is healthy but Customer return rate is low, your acquisition is working but retention needs attention.
Justify a referral push: use Referral revenue and Referral volume together to show which referral sources are worth nurturing.
Data freshness
How current is the data: the dashboard header shows the time of the last data refresh. Check that tile to see how up to date the figures are.
Known limitations
Channel and referral breakdowns depend on how your incoming traffic is tagged. Visits that arrive without tracking tags are grouped as "Other".
New customers and customer return rate are matched by email address. Guest checkouts made with different email addresses can therefore be counted as separate people.
Figures reflect the data available at the last refresh time shown in the header.
Links
Related dashboards: Customer intelligence, Automated email campaigns
