Presence
A validated Amazon seller, storefront, or ASIN-bearing product page attributable to the company.
Data source
Amazon Marketplace
Presence tells you a company sells on Amazon. Timing shows how the storefront is moving — so outreach can prioritize accounts with a live reason to talk.
35 detectable patterns across timing, checks, patterns, and phases
Presence is a gate. Timing is prioritization.
Timing
Movement over a research window (typically ~90 days): reviews, rank, catalogue, and seller feedback — alone or stacked.
How marketplace evidence stacks
Four timing axes — read each alone, then stack when you want a stronger reason to reach out now. Growth-phase labels sit on the stacked reading, not on a fifth axis.
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Reviews Demand
2
Sales rank Purchase
3
Catalogue Footprint
4
Feedback Seller activity
- Four axes Reviews, rank, catalogue, and seller feedback each move on their own — one clear signal can prioritize an account.
- Stack when useful Combine axes when you want a stronger now-reason. Do not treat every seller as in-market.
- Growth phase Pattern cards label the stacked reading — expanding, mixed, or contracting — not a fifth exclusive continuum.
Channel identity and attribution live here. Channel voice — returns, defects, stockouts — lives on Customer reviews and Company socials.
- Also read Customer reviews — returns, defects, felt-tricked language
- Also read Company socials — stockout comments and in-channel voice
Timing signals
Four ways a storefront can move. Each row is one axis — cards show how strong (or weak) that movement looks.
Review velocity
Lagging demand proxy from review accumulation over the window.
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Accelerating
Demand momentum compounding — prioritize now.
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Growing
Clear upward demand without needing acceleration.
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Decelerating
Still growing, but cooling — sequence after true accelerators.
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Flat
Avoids false urgency when reviews aren’t moving.
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Declining
Cooling demand — don’t treat every seller as in-market.
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Missing
Keeps scoring honest when history can’t support a claim.
Sales rank
Category-relative purchase momentum. Glyphs show business direction, not the raw rank number.
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Improving
Relative purchase momentum inside a category.
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Flat
Prevents over-reading noise as a timing trigger.
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Declining
Losing category position — deprioritize vs real movers.
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Missing
Explicit coverage gap instead of a silent miss.
Catalogue footprint
ASIN count and product footprint change — a separate growth axis from reviews or rank.
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Expanding
Listing push often implies inventory and ops scale.
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Flat
Stable footprint — no invented catalogue urgency.
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Contracting
Portfolio reduction — don’t assume expansion.
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Missing
Transparent when storefront history isn’t measurable.
Seller feedback
Seller-profile reputation timing — useful when fresh; de-weighted when stale.
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Momentum
Secondary confirmation of recent seller activity.
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Stale
Don’t treat a quiet profile as current demand.
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Missing
Coverage honesty when profile history isn’t there.
One clear signal can prioritize an account. Stack a few when you want a stronger reason to reach out now.
Checks
Simple confirmations that sit alongside timing — presence, live catalogue breadth, and quality at scale — including when those checks don’t fire.
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Presence verified
Confirms a real marketplace operator — not a brand-name guess.
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Active ASIN cluster
Live catalogue breadth beyond a single hero SKU.
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No active cluster
Avoids overstating activity when the footprint looks thin.
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Quality at scale
Momentum attached to products buyers rate well.
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Quality at scale not detected
Surfaces weak quality evidence before you invest outreach time.
When signals stack
Combinations that are sharper than any single axis — plus a plain-English growth phase when evidence is strong enough.
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Multi-dimensional growth
Higher-confidence “why now” than any single axis.
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Rank leads reviews
Momentum without review confirmation — dig deeper.
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Reviews lead rank
Early social-proof heat that may precede rank confirmation.
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Expansion with contraction
Portfolio rotation — not a binary growing/dying label.
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Scale without quality
Volume growth that may not be the account you want.
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Stale seller, active products
Weight product timing; ignore the quiet seller profile.
Growth phase
When evidence is strong enough, dimensions roll up into one phase for prioritization queues.
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Accelerating
Review velocity up + sales rank improving + no contraction.
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Expanding
Velocity or rank up + catalogue/ASIN growth.
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Mixed
At least one dimension improving and one declining.
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Sustaining
Measured dimensions flat within thresholds.
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Decelerating
Velocity declining/flat + rank worsening/flat + no growth.
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Contracting
Catalogue contraction with soft velocity and rank.
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Unclear
Insufficient evidence for a meaningful phase.
What it looks like in a verified fit
Northline Commerce
- Accelerating review velocity This week2.3
Core ASINs show review velocity accelerating over the last 90 days versus the prior window.
Demand-side momentum is compounding — a concrete reason to prioritize outreach now.
- Sales rank improvement This week2.1
Primary category sales rank improved materially on multiple active listings.
Rank movement corroborates purchase momentum beyond reviews alone.
- Multi-dimensional growth This week2 2.4
Review velocity and sales rank both improved in the same research window, with catalogue holding or expanding.
Stacked axes agree — stronger “why now” than any single Amazon signal.
Boundaries & method
- Timing windows follow available history (commonly ~90 days); thresholds can be tuned per ICP.
- Review velocity is a lagging demand proxy — not direct GMV or unit sales.
- Sales rank is category-relative; absolute meaning depends on category depth.
- Catalogue expansion can reflect rotation or onboarding — not always net business growth.
- Coverage states (missing, stale) are first-class — we prefer “insufficient data” over weak speculation.
- Seller-level timing requires verified attribution; unattributed brand-store products may inform product demand only.