Performance Brief
All 7 Stores Show Positive Basket Lift
Analysis of approximately 81,500 purchases across 7 anonymized stores over a 7-month window. The strongest recurring signal is simple: shoppers who interact with products spend more.
All 7 anonymized stores show bigger baskets after product interaction.
The pattern holds from the highest-volume locations to the smallest. Customers who interact with products before checkout spend more, and the size of that spread is measurable store by store.
All 7
~$79K / year
+18%
What this brief measures
This brief focuses on the two signals that matter most across the seven-store footprint: basket lift from physical product interaction and the revenue potential of on-screen campaigns. It also frames the scale of the current TPB deployment behind those measurements.
- Basket lift from product interaction. Customers who pick up a product on a sensor-equipped station spend more per basket than customers who do not.
- Dollar value of that lift. The store-by-store spread adds up to meaningful annual revenue across the seven-store footprint.
- On-screen campaign potential. Five of the seven stores already use the placement that can also support paid brand campaigns.
Measured Basket Lift
Product interaction lifts baskets
At all seven locations, customers who picked up a product on a sensor-equipped station before checkout bought bigger baskets than customers who didn't.
The signal is consistent enough to manage store by store, not just in aggregate.
| Store | Picked-up basket | No-pickup basket | $ Lift | % Lift | Confidence |
|---|---|---|---|---|---|
| Store 1 | $51.38 | $43.38 | +$8.00 | +18.45% | Rock-solid |
| Store 2 | $70.06 | $63.49 | +$6.57 | +10.34% | Rock-solid |
| Store 3 | $58.35 | $52.19 | +$6.16 | +11.80% | Rock-solid |
| Store 4 | $58.10 | $53.74 | +$4.36 | +8.11% | Clear pattern |
| Store 5 | $49.15 | $45.31 | +$3.83 | +8.46% | Directional* |
| Store 6 | $48.27 | $40.11 | +$8.16 | +20.34% | Directional* |
| Store 7 | $44.58 | $42.04 | +$2.54 | +6.04% | Directional* |
Rock-solid: holds up to the strictest statistical checking. Clear pattern: large enough sample, pattern is clear. Directional*: fewer interactions to measure from, so the exact number is less precise, but the direction is clear.
How this compares to published benchmarks: Published research points to two separate effects. Self-service ordering can lift AOV by 10–20% versus counter ordering (Shake Shack Q1 2024). Physical product interaction can add another 15–30% (Peck & Shu 2009; HAPshop 2025), and that is the layer this analysis isolates. The strongest stores land in that range, led by Store 1 at +18%.
These effects operate at different points in the journey and can compound within the same store environment.
What the lift is worth, in dollars
Per-basket lift × interaction-preceded baskets gives the measured study-window spread and annualized projection:
| Store | Study-window spread | Projected annual |
|---|---|---|
| Store 1 | $14,280 | $24,480 |
| Store 2 | $11,995 | $26,170 |
| Store 3 | $11,384 | $19,515 |
| Store 4 | $2,490 | $4,268 |
| Store 5 | $2,114 | $3,624 |
| Stores 6-7 | ~$600 | ~$1,060 |
| Across all 7 stores | ~$42,900 | ~$79,000 / year |
On-Screen Retail Media
Retail media already live in 5 stores
Five of the seven anonymized stores use the on-screen spotlight feature today for in-store events, flyers, and house-brand promotions. The same placement can support paid brand campaigns when the retailer chooses to activate them.
At two independent TPB stores that activated brand advertising spotlights on the same mechanism, the measured pattern is strikingly consistent:
+17.7% share lift
The advertised brand's share of store revenue climbed from 4.46% before launch to 5.25% during the spotlight campaign.
+18.8% share lift
The same brand's share climbed from 6.95% to 8.26%, a near-identical pattern at a store of very different size and baseline.
Where TPB extends standard kiosk reporting
| Capability | TPB Kiosk | Standard kiosk |
|---|---|---|
| Place an order on the device | ✓ | ✓ |
| Detect when a customer picks up a real product | ✓ | × |
| Run on-screen brand spotlight campaigns | ✓ | × |
| Track on-screen views and link them to later purchases | ✓ | × |
| Measure basket lift from product interaction | ✓ | × |
"Standard kiosk" includes Dutchie's iPad kiosk and similar tablet-based ordering systems. Ordering is the baseline. The differentiator here is the measurement layer: product sensing, session-level campaign tracking, and the ability to connect both to checkout outcomes.
Bottom line
Across the seven-store footprint, the measured basket-lift signal alone is worth roughly $79,000 per year. That is nearly 2× the annual software cost across the seven-store deployment, before retail-media revenue or operating upside.
- All seven stores show positive basket lift after product interaction.
- Five stores already have the on-screen spotlight placement live.
- Comparable TPB spotlight campaigns lifted brand share by 17.7% to 18.8%.
The durable advantage here is measurement. It shows which interactions raise basket size, where the storefront already supports retail media, and where the next incremental revenue is most likely to come from.