How We Make Recommendations
Last updated: January 2026
EbikePartsPicker uses a structured, rules-based approach to generate recommendations. We do not rely on sponsorships, paid placements, or advertising revenue to influence our guidance.
Every recommendation is generated through our Build Advisor β a 6-step wizard that collects your specific requirements and applies our compatibility and compliance rules to produce personalized guidance.
We ask about your primary use case β commuting, hills, cargo, trails, or long-range riding. This determines motor type and power requirements.
We collect details about your existing bike β type, wheel size, brake system, and bottom bracket. This filters out incompatible components.
We ask about typical ride distance, rider weight, desired speed, and terrain. This calculates battery capacity (Wh) requirements.
We assess your mechanical skill and installation preferences. This influences complexity recommendations.
We collect your budget range. We then show budgetary targets for each component category β not firm prices, as prices change frequently.
We generate personalized recommendations with component targets, compatibility summary, legal compliance notes, and links to trusted retailers.
Behind the Build Advisor is a rules engine that encodes compatibility logic and best practices:
We intentionally show budgetary targets rather than exact prices because:
Our budgetary targets help you plan your conversion while acknowledging that final costs will depend on where and when you purchase.
We curate a list of trusted US retailers based on the following criteria:
We do not accept payment for retailer inclusion. Retailers are selected based on merit and user value.
EbikePartsPicker may participate in affiliate programs with retailers we recommend. This means we may earn a commission if you purchase through our links.
Important: Affiliate relationships never influence our recommendations. Our rules engine generates recommendations based solely on your inputs and compatibility requirements.
For full details, see our Affiliate Disclosure.
We're happy to explain how any recommendation was generated.
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