Mixed Method Benchmark

Purpose

A cosmetics company wanted a competitive benchmark on the end-to-end purchase journey to understand the strengths and gaps of their brand.com experiences relative to competitors.

  • Lead a team of researchers in developing a research plan that would understand the end-to-end purchase journey across 12 brands with representative participant sample segments in a 6-week timeframe.

  • The end-to-end purchase journey was split into a two-part study to capture shopper experiences:

    ➡ Part 1: The online shopping process, including brand discovery, product consideration, consultation, and checkout.

    ➡ Part 2: The post-purchase experience, including buying, receiving, and unboxing products.

  • The team delivered two comprehensive reports that identified top user issues across a few critical stages:

    ➡ Consumers are reaching for more detailed information than currently available when discovering products through social media platforms.

    ➡ Flexibility in interactive features (e.g., chat or virtual try-on capabilities) is necessary to generate personalized recommendations expected by consumers.

    ➡ Clear communication of order status and product packaging are differentiators in brand perceptions.

  • ➡ A business case for pairing qualitative and quantitative research was made to executive leadership.

    ➡ Actionable recommendations aided individual brand.com product teams in prioritizing updates to key stages in the shopping journey.

    ➡ The customer purchased a platform subscription and an additional benchmark from Professional Services.

Deliverables

A two-part project scope was created to collect quantitative and qualitative feedback across all key touchpoints in the shopping journey.

Quantitative feedback was provided in a dashboard that displayed raw data and consolidated scorecards to give managers and product teams actionable measures.

A final presentation provided executives, managers, and product teams with high-level brand rankings alongside detailed insights and recommendations.

Header image by pmv chamara

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Qualitative Sentiment Analysis