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Reduce overhead costs by X % by decreasing in-restaurant cash and credit card payments (in selected restaurants) to 60% X% combined, by the end of 2024, maintaining the same level of sales X EUR/ month at least.
Decrease cash-handling costs by X% (From X to X )
Decrease credit card processing fees by X% (From X to X )
___________ If loyalty program is involved______
Jira Legacy | ||||||
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Decrease time to place an order for BK Pay customers
Kiosk: Decrease by time to place an order by X%, from X minutes to X minutes.
POS: Decrease by time to place an order by X%, from X minutes to X minutes._
__________ If loyalty program is involved______Drive-thru: Decrease time to place an order by X%, from X minutes to X minutes.
Increase monthly sales by X% per restaurant
by increasing purchase frequency by X%
increasing customer LTV by X%
📈 Additional Metrics to be Monitored:
Metric | Description | Current Value | Expected Value | How are we measuring it? |
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cash-handling costs/mo | costs connected with in-restaurant employee cash fraud |
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credit card processing fees /mo | a sum of all the fees associated with processing a credit card payment |
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Average time to place an order
| Average time that it takes for a customer to place an order successfully (together with payment) once they approach Kiosk or the front counter. |
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% of BK Pay transactions per channel | % of transactions that were made with BK Pay per each channel; example: Kiosk, POS |
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sales EUR made with BK pay
| Sum of check value made with BK Pay for a selected period of time |
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Average monthly # orders paid via BK Pay app per BK Pay app user | average number of orders paid with BK Pay |
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Average order value per BK Pay user | average value of a check per BK Pay user |
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% of users paid successfully out of the users that opened BK Pay screen | number of users who were able to place order successfully with BK Pay out of the total that opened the BK QR code screen |
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% of users opened BK Pay but have not completed onboarding
| number of users who have not completed a Bluecode onboarding process out of the total who landed on the BK Pay screen |
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Bk Pay onboarding funnel (conversion and abandonment rate) | % of users proceeding to each consequent step out the ones landing on BP Pay |
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% of users completed onboarding but did not pay with BK Pay | how many users registered with BK Pay but did not end up paying |
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BK Pay users LTV | Lifetime Value of users who has ever paid with BK Pay |
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BK Pay payment success rate | percentage of attempted transactions that are completed successfully |
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Share current work:
Benchmarking & Best practices
User flows
Prototype
Address outstanding questions:
Is the program/BK Pay app still ongoing?
Understand the current/past flow presented on the screenshot including discounts in BK Pay
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