How to use in-store Interaction data in retailer range reviews

Use in-store Interaction data in a retailer range review to show what participants explored before a possible purchase. Match the reporting window and store scope to the commercial review, explain metric definitions and place Product Interest Signals alongside stock, promotion and sales data. Make the commercial recommendation proportionate to the evidence.

Start with the Retail Buyer’s decision

Agree the question before assembling charts. It might concern a poorly understood feature, range overlap, a compatibility concern or the next phase of a pilot. A focused decision gives the reporting a purpose beyond a collection of dashboard screenshots.

The account manager brings the commercial context; the Experience owner explains what was available to explore; the data owner confirms metric definitions. Include the Retailer’s relevant category and operational stakeholders so ranging, stock and placement differences are understood.

Use this review outline

| Slide | Evidence to include | Interpretation boundary | | --- | --- | --- | | Scope and execution | Planned locations, verified installation evidence, available Device status and content versions | No single status proves all aspects of compliance | | Product exploration | Defined Product Views, selected comparison pairs and supported finder outcomes | Describes participants, not all store visitors | | Questions and friction | Supported module choices, no-match outcomes and store feedback | Frequent use may indicate interest or uncertainty | | Next actions | Defined Retailer click-outs or colleague prompts | A click or prompt is not a completed transaction | | Commercial context and next test | Sales, stock, price and placement evidence with one proposed action | Observational associations do not establish incrementality |

Include counts and periods with percentages. If a chart excludes stores or periods with missing data, state the exclusion and show its size. Keep touchscreen, QR and NFC results distinct when their placements and Session rules differ.

Explain what model exploration can tell you

A comparison between two models shows that the pair was explored under the recorded rules. It may help identify a useful comparison to improve or a question for store teams. It does not prove that the premium feature persuaded someone to buy.

Finder answers can reveal needs among participants. Check question wording, recommendation logic and availability before treating a result distribution as market demand. Avoid projecting a small self-selecting group onto the entire Retailer audience.

Compare stores with the relevant context

Consider store format, trading days, placement, Product availability, price promotions and staff support. High-activity and low-activity stores may differ on all these factors. Describe observed differences without calling one a controlled test unless it was designed accordingly.

Where a commercial claim requires stronger evidence, agree a prospective evaluation with an appropriate comparison method. Define success, data access and exclusions before the change, rather than selecting successful stores afterwards.

Turn the readout into a useful action

Choose an action that follows from the evidence: improve an unclear compatibility explanation, test a different prompt or investigate stock availability for a frequently explored model. State the owner, scope, implementation date and measure to review next.

For a proposed distribution expansion, pair Interaction findings with actual commercial and operational evidence. Do not label comparison volume “proven latent demand”. For an apparent stock problem, investigate availability before claiming it prevented sales.

Prepare the buyer pack

• Date window, store list, format and content versions match the review
• Definitions and missing-data treatment are available
• Product exploration and onward actions are separated from sales
• Installation evidence and Device communication are labelled correctly
• Stock, price and promotional context accompany store comparisons
• One proportionate recommendation has an owner and follow-up plan

Bring the pre-purchase journey into the review

MyPlayer’s Interaction reporting can add context to what Shoppers explored. Agree the reporting scope and commercial question with the Retailer before preparing the review. Discuss a retailer reporting plan.