Research questions
Define which observable listing characteristics are being studied and avoid inferring sales or buyer behavior from content alone.
Research protocol — no results
Product listing benchmark 2026: research protocol before results
This page defines how Aisle could study listing clarity, evidence, claim boundaries, and content structure. It publishes no sample, scores, rankings, findings, or marketplace comparisons yet.
No benchmark results publishedProposed measures defined in advanceLimitations required with future findings
Protocol components
What must be specified before collecting listings
Pre-registration reduces the temptation to turn a convenient sample into an authoritative market claim.
Sampling frame
Specify markets, platforms, categories, dates, inclusion rules, exclusions, and how listings will be selected.
Coding guide
Operationalize observable variables such as dimensions shown, package contents, claim evidence, image purpose, and disclosed limitations.
Quality controls
Use reviewer training, double coding, disagreement handling, versioned instruments, and a transparent missing-data policy.
Proposed research sequence
How the benchmark would be conducted
No step below has produced a public result. Collection should begin only after the protocol, rights review, and resources are approved.
Freeze the protocol
Publish the questions, definitions, sampling rules, exclusions, analysis plan, and expected limitations before collection.
Build the sample
Record platform, market, category, observation date, selection path, and any unavailable or duplicate listings.
Train and test coders
Pilot the coding guide on a separate set, revise ambiguous variables, and measure reviewer agreement.
Code observable content
Record only what a reviewer can see and substantiate; do not infer conversion, sales, seller intent, or product truth.
Analyze with uncertainty
Report denominators, missingness, distributions, reviewer agreement, sensitivity checks, and category differences.
Publish reproducibly
Release the instrument, methodology, field dates, limitations, corrections process, and permissible aggregate data.
Protocol demonstration
Example coding unit—not a finding
The item below shows how one variable could be defined. It is not based on a collected listing and contributes to no score.
Hypothetical coding example — zero research results
Variable: dimensions communicated
Proposed benchmark instrument
Exact dimensions visible in seller-controlled copy, specifications, or an image, with units that a reviewer can record.
Phrases such as compact, large, spacious, or fits anywhere without an observable measurement.
Present, absent, ambiguous, or not applicable, with a note field for reviewer uncertainty.
Presence of dimensions does not establish accuracy, buyer comprehension, conversion impact, or marketplace quality.
No findings to cite
This page is a protocol, not a benchmark report
Until a documented sample is collected and analyzed, no numbers, leaders, platform comparisons, or category conclusions should be attributed to this project.
No listings have been sampled, coded, scored, ranked, or compared for this public protocol.
There are no 2026 findings, averages, percentages, marketplace leaders, category winners, or performance correlations to cite.
The proposed variables assess observable content, not factual product quality, sales performance, conversion, or buyer satisfaction.
Future collection must address platform terms, copyright, privacy, sampling bias, missing data, and reviewer agreement.
Any future report must separate pre-registered analysis from exploratory findings and publish material corrections.
Next step
Use the current audit framework while research remains pending
Apply the evidence checklist to your own supplied content without treating this protocol as market data.