See if your marketing is working
Payment Analytics uses your card payment data to show sales, visits and average ticket, split between new and returning customers. These seven chapters show how to read the dashboard, compare locations and record events so you can tell what moved the numbers. Every screen shown is from the Genius Help Center.
- CH 1ChoosePick the locations and dates to look at.
- CH 2–3ReadSales and visits, new against returning.
- CH 4CompareRank your locations side by side.
- CH 5–6RecordLog events in Daybook and check the effect.
- CH 7AlertsSet a weekly digest and customer alerts.
Move between chapters with ← → or the buttons above. Click any screenshot to enlarge it. Tap Listen in any chapter to have it read to you.
Choose the locations to look at
The location selector at the top controls every number on the dashboard below it. All locations are selected by default.
Payment Analytics › Filter Locations- Click into the search field. You can search by business name, MID, address, city or postal code.
- Tick or untick the checkbox beside each location.
- To reuse the selection, click Save Filter.
- Open a saved filter later with the star icon.
Read sales and visits over time
The first chart on the dashboard plots your sales or visits across the dates you chose, with separate lines for all, new and returning customers.
Payment Analytics › Dashboard › Sales and Visits- Set the date range beside the location selector.
- Switch the chart between Sales and Visits with the toggle at its top right.
- Hover over a date to see the figures for that day.
- Look for the gap between the new and returning lines, and whether it is widening or closing.
Compare new and returning customers
Below the chart, three blocks show Visits, Sales and Average Ticket, each split into new and returning customers.
Payment Analytics › Dashboard › Visits, Sales, Average Ticket- MoM compares this month with last month.
- YoY compares this year with last year.
- A green arrow means up, a red arrow means down.
What the split tells you
- New is high, returning is low: people try you once and do not come back. Genius suggests a loyalty program, in-store specials or building a customer list to market to.
- Returning is high, new is flat: you are not reaching new people. Genius suggests local advertising, signs outside, or a bring-a-friend offer.
- A new-customer promotion only lifted returning customers: you may just be discounting for your regulars.
Compare your locations
With more than one location, the Compare section shows which is leading and which is trailing.
Payment Analytics › Compare- Top Performer and Lowest Performer name the best and worst location. Toggle between Sales and Visits.
- The Location Comparison table lists every selected location.
- Click the double arrow beside a column title to sort by it.
Read it two ways
- The location with the most visits may not have the most sales. It could be a quick in-and-out site.
- The location with the fewest visits may have a high average ticket. Its staff may be good at upselling, which other locations can copy.
Record events in Daybook
Daybook is a notes log on the dashboard. Write down anything that could move sales, so you can explain a spike or a dip months later.
Payment Analytics › Dashboard › Daybook › Add Note- Scroll to the Daybook section and click Add Note.
- Choose the location or locations it applies to and click Apply.
- Choose the audience: New, Returning or All Customers.
- Choose the date, and add a time if you want one.
- Type a description and click Add Note.
Worth recording
- Promotions, emails and direct mail
- New products and limited-time offers
- Events at your store or nearby
- Bad weather and road construction
Check whether a campaign worked
Each Daybook note appears as a grey dot on the Sales and Visits chart. Hover over the dot to read the note, then look at what the lines did afterwards.
Payment Analytics › Dashboard › Sales and Visits chartThe example from Genius
- A shop owner runs a newspaper coupon aimed at new customers.
- They open Payment Analytics and look at the new and returning lines.
- Both groups are up, but new-customer sales rose 3% more than returning.
- Conclusion: the coupon is reaching new people, so it is working.
If the result is weaker than hoped, try a second push such as an email, log that in Daybook too, and compare again a week later.
Source: Comparing PerformanceSet alerts and preferences
Two settings are worth doing once so the tool comes to you.
Payment Analytics › Notifications, and the gear iconWeekly digest and customer alerts
- Click the Notifications tab in the left navigation.
- Use Filter Locations to choose which locations the settings apply to.
- Turn the Weekly Digest on.
- Enter your minimum alert levels for new and returning customers.
- Click Save.
Miles or kilometers
Click the gear icon at the bottom left and choose how distances are shown.
Source: Payment Analytics Quick Start GuideA simple routine for every promotion
This routine is a suggestion, not a Genius requirement. Each step uses a feature from the chapters above.