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Use Insights to get a daily, plain-language read on what is moving in your storefront. Each card describes a change Layers detected in recent search and purchase activity, why it matters, and what you can do about it. Insights are useful when you want a single place to scan for movement without building reports.

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Prerequisites

  • Your store must be connected to Layers.
  • Your catalog should be synced.
  • A few days of shopper search and purchase activity must exist so Layers has a baseline to compare against.

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Open Insights

  1. In the Layers dashboard, open Lab.
  2. Select Insights.
The top insight also appears in the Insights carousel at the top of the Home page. Use the prev and next controls to page through additional insights, or select View all insights to jump to the full feed.

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How the feed is organized

Insights are grouped by category. Categories only appear when Layers has at least one insight to show for them.
  • Trends — Search demand moving up or down. Use these to spot terms gaining or losing interest before they show up in headline metrics.
  • Attribution — Revenue influenced by search and discovery. Use these to see which queries, collections, or products are driving the biggest share of search-led revenue. Attribution cards highlight wins, so a window where attributed revenue dropped is suppressed in favor of the up window for the same subject. Genuine revenue declines surface as anomalies instead.
  • Anomalies — Sharp breaks from your recent baseline, such as a spike in zero-result searches or a sudden drop in click-through. Use these to investigate issues before they affect more shoppers.
  • Opportunities — Demand you are not fully capturing yet, such as high-traffic queries with low engagement.
If the same subject — for example a query term like “anklet” — would otherwise produce several near-duplicate cards, Layers collapses them to the single highest-signal card so the feed stays scannable. Conversion-rate “converts at” cards are also capped per page so a single class of insight cannot crowd out the others. The full feed is paginated. Use the page controls at the bottom of the list to load older insights.

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What each card shows

Every insight card includes:
  • A category badge — Trend, Attribution, Anomaly, or Opportunity.
  • A percent change versus the baseline. Movement is colored green when up is good, red when down is bad, and amber for anomalies.
  • A timeframe row with the time window the insight covers (for example, 7d), the period label, and the date Layers detected the change.
  • A headline describing what changed.
  • The subject the insight applies to, such as a query cluster, collection, or product group.
  • The current value for the underlying metric.
  • Comparison bars that show the current value next to the baseline value so you can see the size of the gap at a glance.
  • A short explanation of what changed and why it matters.
  • A recommended action when Layers has one — for example, review a query, adjust a sort order, or add a merchandising rule.

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Anomaly review

When Layers detects a store-wide drop in click-through or engagement, it automatically re-checks the search results for the query patterns most likely to be dragging the metric down. Each anomaly card then reports one of two states:
  • Reviewed healthy — Layers re-ran the affected searches and confirmed the results look right. The drop is probably driven by external factors (seasonality, traffic mix, a specific campaign) rather than a search-quality problem.
  • Needs merchant action — Layers found the results for one or more affected query patterns look off. The card surfaces the specific clusters and products to review so you can tune merchandising, sort orders, or product data.
This review runs in the background once per day and never changes live ranking on its own. It only flags where to look.

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Troubleshooting

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The feed is empty

Layers needs several days of search and purchase activity before insights start appearing. If your store is new or recently re-launched, check back after more traffic has accumulated.

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A card I expected is missing

Insights are filtered to keep the feed high-signal. Movements below the configured thresholds — for example, very low search volume or a small percent change — are intentionally hidden. Cards also drop off the feed once the underlying signal returns to baseline. If you expected several cards for the same query term, note that Layers collapses near-duplicates to the strongest card per subject.

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An anomaly stays in Needs merchant action

The state updates after the next daily review. If the affected query patterns still look weak the next day, the card stays flagged until either the results improve or the anomaly itself clears.

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Next steps