Mobile Shopper Exploration Study
Research case study · MSc thesis · Brock University, 2021

What makes mobile shoppers explore, and does it bring them back?

People open shopping apps for two reasons: to look something up before they decide, or simply to see what is out there. I surveyed 250 mobile shoppers to find out what encourages each kind of browsing, and which one actually brings people back.

The study links four things: what the app offers, how absorbed the shopper becomes in using it, how they browse, and whether they intend to return and recommend it.

  • n = 250mobile shoppers, online consumer panel, Russia
  • 50 items7-point agreement scales, pretested and piloted
  • PLS-SEMtwo-stage higher-order measurement model
  • 13 + 6direct paths and mediation tests
  • R² = .72variance explained in intent to return

The model

Select an arrow to see the hypothesis, a plain-language reading and the statistics. Line weight follows the size of the effect.

STIMULUS: WHAT THE APP OFFERS ORGANISM: WHAT THE SHOPPER EXPERIENCES RESPONSE Useful functional value Enjoyable emotional value Social social value Immersion flow state Searching to decide specific exploration Browsing to discover diversive exploration Return and recommend
Significant at p < .05, weight scaled to effect size Not significant at p < .05 β = standardized path coefficient

No path selected. Select an arrow in the diagram to see its hypothesis, a plain-language reading, and the statistics.

Useful (functional value)
Access anywhere, personalized content, and navigation that gets people where they want to go.
Enjoyable (emotional value)
Visual appeal of the interface and how much fun the app is to use.
Social (social value)
Responsiveness, two-way communication, and a sense of human warmth in the experience.
Immersion (flow state)
Full absorption in the task: focused, in control, losing track of time.
Searching to decide (specific exploration)
Digging into one product to resolve uncertainty and narrow the options.
Browsing to discover (diversive exploration)
Opening up to new products and ideas to widen the options.

Three findings

  • Shoppers who browse to discover are the ones who come back.

    Discovery browsing predicts intent to return and recommend about three times more strongly than targeted product research.

    β = .45 vs β = .16, both p < .05
  • Usefulness is the only direct lever. Immersion carries the rest.

    Only functional value moves both kinds of exploration directly. All three kinds of value raise immersion, and immersion raises both kinds of exploration, most of all focused searching.

    flow → searching β = .54 · flow R² = .83
  • Social features work only when shoppers are immersed.

    Social value has no direct effect on exploration. Its whole contribution runs through immersion.

    indirect β = .19 (searching), .09 (discovery), both p < .05

Three recommendations

  • Design for discovery, not only for search.

    Feeds, categories and suggestions that widen what a shopper sees are retention features, because discovery is what predicts the return visit.

  • Put personalization and navigation ahead of "anywhere, anytime".

    Within usefulness, personalization and navigation carry the weight. Constant access contributes almost nothing on its own: shoppers now take it for granted.

    weights: personalization .60 · navigation .42 · ubiquity .09 (n.s.)
  • Treat reviews, chat and community as immersion tools.

    They pay off when the shopper stays absorbed, so build them into the browsing path and protect that path from interruptions.

Walk through the study

  1. 1The questionDesignWhy exploration on mobile matters commercially, and the two browsing modes in plain terms.
  2. 2Framework and hypothesesDesignThe stimulus, organism, response model and the reasoning behind each path.
  3. 3Survey design and measurementMeasureSampling, pretest and pilot, item wording, and how the higher-order constructs were built.
  4. 4Analysis and resultsAnalyzeReliability and validity checks, path estimates, mediation, and out-of-sample prediction.
  5. 5Implications and reflectionsCommunicateWhat an m-commerce team should do, and what I would do differently today.

Based on: Pouyan, M. M. (2021). The Influence of Perceived Value on Exploratory Behaviour Towards Future Patronage Intention in M-Commerce: An S-O-R Approach. MSc thesis, Goodman School of Business, Brock University. Supervisor: Dr. Narongsak (Tek) Thongpapanl. Read the full thesis.