The Market Intelligence tab helps you understand market timing for a product — when demand for this type of item typically strengthens, when it softens, and when it’s smarter to lean in versus stay cautious. It’s not a sales forecast and it’s not trend-chasing; it’s a simple way to avoid timing mistakes and plan with more confidence.
What this tab is for
Use this tab to:
Understand whether a product is evergreen, seasonal, or unpredictable in demand
Decide when to push (e.g. merchandising, launches, promotions) and when to protect margin and avoid overcommitting
Get light-touch guidance you can use without building complicated processes
What you’ll see on the tab
1) Market classification (label)
At the top, Sprintr shows a short classification that summarises the demand pattern, for example:
ER – Evergreen with retail lift
S – Truly seasonal
E – Evergreen flat
V – Volatile or unclear
This label is a timing signal (not a performance score) and is intentionally conservative when data is noisy.
2) AI Insight (what it means for you)
A plain-English summary that explains:
the typical “active” and “quiet” periods for this product type
why that timing matters
where to be cautious (especially around expectations and pricing)
If the latest trend point is still settling, Sprintr will flag that and treat recent movement as directional rather than definitive.
3) Recommendations
A short list of practical recommendations designed to help you:
prepare ahead of busier windows
stay margin-aware when timing tightens
ease back or reset during quieter stretches
4) Interest over time chart
A simple chart showing how search interest changes over time, so you can visually see:
recurring peaks and troughs
how consistent the pattern is across the year
the most active weeks within the tracked period
5) Context details
A footer note showing the settings used for the insight (e.g. region, time range, language), so you know what the trend view is based on.
How it works (high level)
Sprintr builds Market Intelligence using:
Google Trends timing patterns for the product’s core search term (treated as relative timing, not market size), and
a light layer of commercial relevance so the insight stays grounded in what matters to your shop.
It focuses on recurring patterns and repeatability, and avoids forcing conclusions when the data isn’t clear.
When it updates
Market Intelligence updates automatically:
weekly after you connect your store, and
when a new listing is added.