Mobile-in-Store Behavior in U.S. Retail
Methodology
Type of Study
Methodology
Sample Size
Location
Industry
Segment
Sub-Segment
Target Audience
the challenge
A national retailer saw rising mobile usage inside stores—barcode scanning, price checks, and review-reading—but lacked clarity on which “digital assist” features actually increased conversion and basket size. Leadership needed to prioritize app and in-store digital investments while protecting margin and improving experience consistency. The client required evidence that supported decision-making on feature roadmap, store enablement, and omnichannel journey design—without relying on anecdotal store feedback.
Our Approach
InnResearch designed a structured quantitative study to isolate how mobile-in-store behaviors influence purchase outcomes across key shopper segments. We mapped the end-to-end journey (pre-visit planning → in-store browsing → checkout → post-purchase engagement) and tested the incremental impact of digital assist features (e.g., scan-to-info, real-time inventory, personalized offers, aisle navigation, and associate handoff). The analysis delivered actionable insights that enabled stakeholders to prioritize features that drive measurable basket lift and reduce in-store friction.
Key Insights
Mobile-in-store usage is mainstream: 62% used a smartphone in-store to support decisions, and 58% said it “improved confidence” to purchase—especially among weekly shoppers and Gen Z/Millennials. Three features drive the biggest lift: “Scan to see reviews/specs,” “accurate real-time inventory,” and “instant, relevant offers” were the top conversion drivers, with 54–69% saying each would increase likelihood to buy in that store (vs. leaving to compare elsewhere). The friction that kills baskets is fixable: 57% reported at least one pain point (inventory mismatch, slow app load, unclear promo eligibility); shoppers experiencing friction were far more likely to delay purchase or switch retailers. Associate handoff matters in high-consideration categories: 52% wanted a seamless “ask for help” path (in-app chat or scan-to-associate) for complex purchases, indicating digital assist should connect to staff—not replace them.
Impact
The study helped brands and retailers prioritize a “digital assist” roadmap anchored in measurable basket and conversion levers rather than feature hype. Findings enabled stakeholders to align app product, store operations, and merchandising on where to invest (and what to fix first), and supported decision-making on promo design and inventory accuracy initiatives. The client used the feature priority matrix to focus development resources on the highest-impact capabilities and to standardize in-store execution playbooks across regions.
Conclusion
InnResearch delivered actionable insights showing that mobile-in-store behaviors are not just browsing habits—they are decision tools that can lift baskets when paired with accurate inventory, trustworthy product information, and seamless associate support. By quantifying which features matter most and where friction breaks the journey, the work enabled stakeholders to build an omnichannel experience that converts in-store intent into higher-value purchases and stronger loyalty.