Sales and buyer behaviour
Sessions, conversion, sales concentration and meaningful movement by product or ASIN.
Frankow Ltd / Amazon & marketplace growth
Scheduled account, listing, keyword and competitor monitoring for premium brands, combined with AI-assisted analysis and accountable operator review.
Check selected commercial signals through the week instead of relying only on a retrospective report.
AI helps organise and summarise changes; an experienced operator decides what deserves attention.
Amazon decisions remain connected to pricing, distribution, retail and wider UK or European channel plans.
Interactive product tour
A simplified replica of the private visualisation tool. Click through its main modules; all figures, ASINs and actions are illustrative.
Weekly operator review
Daily digest across sales, listings, advertising and inventory.
Sessions are stable; investigate offer, reviews and recent content changes.
Concentration risk remains unchanged from the previous review.
Six recent reviews mention unclear first-use instructions.
Standardise the proof and setup story on priority listings.
Do not react automatically; check duration, stock and positioning first.
Compare promotion and advertising activity before changing spend.
Review query relevance, listing promise and negative-keyword opportunity.
Validate volume and relevance before extending coverage.
Demand is holding, but conversion and review language suggest that the product story and setup expectation need attention.
Recommendation approved for validation
Operator requested listing and offer comparison before execution.
Competitor signal reviewed
No price response. Promotion considered temporary; monitor for 72 hours.
Search-term action completed
Waste term excluded after operator approval. Outcome review due in 14 days.
Product visualisation only. It does not display live client data, connect to the private tool or demonstrate every implementation detail.
How it works
Agree scope and connect relevant Amazon account and advertising data securely.
Review selected account, listing, search and competitor signals at an agreed cadence.
Use AI-assisted analysis to organise change, then challenge context, confidence and impact.
Prioritise what to change, investigate, test or deliberately leave alone.
What gets monitored
Sessions, conversion, sales concentration and meaningful movement by product or ASIN.
Price, rank, review themes, content changes and relevant activity from tracked competitors.
Search-term performance, spend efficiency, rank movement and terms worth testing or excluding.
Exact coverage depends on authorised access, marketplace, account type, available fields and the agreed monitoring scope. The service does not promise comprehensive or uninterrupted detection.
What the client receives
Material changes ranked by likely impact rather than raw alert volume.
What changed, why it may matter and what still needs validation.
Terms gaining ground, losing efficiency or requiring closer examination.
Named actions, investigations, tests, owners and review points.
Rafael’s assessment rather than an automated conclusion or dashboard export.
Amazon choices considered alongside distribution, retail and market-entry priorities.
Technology and boundaries
Why Frankow Ltd built it
Amazon changes throughout the week, while traditional reviews often capture only a snapshot. This system was built to make Frankow Ltd’s marketplace work more attentive and repeatable without replacing operator judgement.
It sits inside the wider consultancy: UK and European market entry, distribution development, marketplace growth and fractional commercial leadership. That matters because the best Amazon action can be the wrong wider channel decision.
Good fit / poor fit
A premium or connected-product brand already selling on Amazon and willing to provide authorised data access.
A team that values an operator’s judgement and wants Amazon connected to its UK or European channel plan.
A business seeking guaranteed outcomes, a fully autonomous agency, one-off creative production or only a repricing tool.
Practical questions
No. Selected signals are checked on a schedule agreed for the engagement. It is not a continuous second-by-second feed.
No. AI helps organise, compare and summarise change. Rafael reviews the context and remains accountable for recommendations. Any execution authority must be separately agreed.
Where authorised and available, Amazon account data may come through the Selling Partner API and Amazon Ads API. Permitted third-party signals may include Keepa, an independent provider that is not an official Amazon source.
No. Marketplace outcomes depend on many external factors. The service aims to improve decision speed and quality, not promise a result.
Access and processing are limited to the agreed service scope. Confidential data handling and relevant providers are explained during onboarding. See the privacy notice.