Retail Monitor FAQ

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  • What is Amperity’s Retail Monitor?

    Amperity’s Retail Monitor is a dedicated website that dynamically tracks underlying changes in consumer retail shopping behavior.

  • What data is Amperity using?

    Amperity is using anonymized, pooled, and aggregated performance data from ~100 retail brands across multiple verticals including fashion and apparel, footwear, health and beauty, and food and beverage. The underlying dataset does not contain PII, but enables us to study aggregate changes in shopping behavior across channels, devices, and geographies.

  • What is Amperity doing to the data to make it useful for analysis?

    We’ve transformed and standardized the dataset in a few ways to make it useful for analysis:

    • We used “fuzzy matching” to link tagging across different retail brands for comparable phenomena (for example: a paid search transaction might show up for different brands as “cpc,” “sem,” and “paid search”)

    • We identified and removed outliers

    • In order to compare brands with meaningfully different price points, customer volumes, and purchase frequencies, we focused on year-over-year comparisons (in total demand, customer counts, and order volume, for example)

    • As is typically in analysis of time-series data, we used a moving average (in this case: 7 days) to smooth out trends and reduce noise in our year-over-year comparisons

    • We leveraged the National Retail Federation’s 4-5-4 calendar to compare comparable selling days

  • How does Amperity define the metrics it uses in the Retail Monitor?

    • Revenue: total customer gross revenue (demand), excluding shipping, taxes, and merchandise returns

    • Customer: a unique transacting individual

    • Order: a unique transaction (excluding merchandise returns)

    • New customer (customer acquisition metrics): a customer who made her first all-time purchase with a brand on a given day

    • Retained customer (customer retention metrics): a customer who made her first all-time purchase with a brand previously, and made a repeat purchase on a given day

    • AOV: average order value (total gross revenue divided by number of individual orders)

  • Why retail only?

    The privacy and anonymity of our brands is critical to us. Our large portfolio of individual retail brands enables us to offer greater depth and insight into changes across many dimensions — without sacrificing brand confidentiality.