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    Consumer Trend Radar — Understand Changing Buyer Behavior

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    Assess buyer-behavior shifts, separate attention from purchasing and turn verified signals into testable decisions.

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    Consumer Trend Radar — Understand Changing Buyer Behavior

    Consumer Trend Radar — Understand Changing Buyer Behavior

    Example session with this skill installed

    Illustrative trend review: A retailer’s refill-product unit sales rose from 200 to 300 over two equal-length months. A promotion ran in the second month. Ten supplied reviews mention reduced packaging. No customer counts, total category sales, prior-year data or post-promotion period exist. Is this a durable consumer shift? Give a signal assessment, alternative explanations and a validation experiment.

    • Read your context and instructions
    • Compiled the consumer trend radar

    Trend assessment

    Refill unit sales increased in the supplied two-month comparison, but durable behavior change is unproven. Promotion is a material alternative explanation. Ten review mentions are qualitative signals, not a population preference estimate.

    Observed and calculated

    • Supplied: units rose from 200 to 300 in equal-length periods.
    • Calculated: +100 units, a 50% increase relative to 200.
    • Supplied: promotion ran in the second period.
    • Supplied: ten reviews mention reduced packaging. Unique buyers, selection method and representativeness are unknown.
    SignalInterpretationLimitation
    Unit growthRetailer-level demand signalRevenue, margin and category share unknown
    Promotion overlapPossible promotional liftCannot isolate price, display or campaign effects
    Packaging review mentionsReason worth investigatingDoes not establish purchase motivation across customers

    Competing hypotheses

    H1: Some buyers increasingly value refill formats.
    H2: Promotion temporarily increased trial or stock-up purchases.
    H3: Availability, display, channel mix or seasonality changed.
    These are hypotheses; no cause is asserted. Customer counts are needed to separate more buyers from larger purchases by existing buyers.

    Validation plan

    1. Confirm SKU scope, returns treatment, stock availability and period dates.
    2. Measure post-promotion sales, repeat purchase, unique buyers, units per buyer and contribution margin using approved definitions.
    3. Compare an appropriate nonpromoted cohort or matched period; validate comparability before interpreting differences.
    4. Review prior-year and category trends where available.
    5. Use neutral voluntary buyer questions to investigate needs and barriers, without inventing survey responses.

    Experiment proposal

    Run a bounded, approved merchandising test with comparable exposure and documented promotion conditions. Predefine measures and business guardrails from actual baseline data; no sample size or success threshold is invented here. Track repeat behavior beyond initial trial, then decide whether to expand.

    Commercial decision

    Keep refill demand as a promising retailer-specific hypothesis, not a proven global trend. Avoid broad claims that consumers changed preferences or that packaging concerns caused growth. No live monitoring, survey or experiment was conducted by this draft.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Understand whether behavior is changing

    Consumer Trend Radar helps brands, retailers, product and growth teams organize consumer signals by category, segment, geography, evidence window and business objective. It examines purchase, usage, price/value, channel, loyalty and switching shifts.

    It supports baselines, change detection, motivation and barrier analysis, durable-versus-temporary trend validation and opportunity/risk experiments. Outputs distinguish observed behavior from stated preference, social attention and review sentiment. It avoids generational stereotypes and unsupported market-wide claims.

    The workflow uses supplied or genuinely accessible evidence. It does not invent surveys, transaction data, search volumes, market share, forecasts or sources. Tools and integrations are optional; without them it builds manual research and monitoring plans rather than claiming live monitoring. Recommendations remain proportionate to sampling and seasonal limitations.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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