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Detail Page Content

Use these reports for content audits, title optimization, ratings health, and pricing intelligence. Most reports in this section require PDP crawl setup — confirm with your account manager if data appears missing.

Title Optimization Tool

Best for: Auditing product titles across a brand's catalog for keyword presence, title length, and optimization gaps.

How this report differs from keyword-filtered reports: Keywords here are evaluation criteria — you are checking whether item titles contain these keywords. This is not a market-lens view (i.e., you are not asking "who is winning on this keyword?"). Do not confuse with Keyword Snapshot or Keyword List.

Primary inputs:

  • Base Keyword 1 (required) — the primary keyword to check for presence in titles. Up to 5 base keywords total.
  • Brand OR Item ID — the catalog to audit.

Recommended workflow: Use Keyword Discovery first to identify which keywords to check, then bring those into Title Optimization to audit whether items contain them.

Best practice: Place priority keywords in the first 80 characters of a product title for both search algorithm relevance and mobile shopper experience.

Date filter name: Data Period Date. Default 4 weeks. No comparison period.

Edge case filters: Base Keywords 2–5, Additional Base Keywords (semicolon-separated for bulk entry), Department / Category Tree, Title.

Common mistake: Using this as the only input for title rewrites — the tool identifies gaps and length issues but does not suggest copy. Pair with Keyword List and Keyword Trends data to inform what keywords to incorporate.

Ratings & Reviews Tracker

Best for: Tracking ratings and review counts across a brand's catalog. Identifies items with low ratings, insufficient review volume, or declining trends. Use to prioritize review generation efforts.

Primary anchor: Brand (own-brand review health audit) OR Category (competitive review landscape).

Key tiles — items segmented into buckets:

  • Items with Great Reviews (100+ reviews, ≥4 stars) — catalog strengths
  • Items with A Lot of Poor Ratings (100+ reviews, <4 stars) — high priority; many shoppers seeing negative social proof
  • Items Needing More Reviews (<20 reviews) — review generation strategy needed
  • Items with No Reviews — highest priority for review programs
  • Ratings & Reviews Trend — weekly trend of total review count, avg rating, and item count
  • All Items Review Data — full flat table; sortable for export

Date filter name: Data Period Date. Default 4 weeks. No comparison period.

Common mistake: Treating low review count as a content problem — if an item has <20 reviews, it needs a review generation strategy first. Use this report to triage: low rating + enough reviews = content/product issue; low rating + low reviews = review strategy first.

Item Price Tracker

Best for: Tracking daily prices for items over time. Useful for monitoring competitive pricing trends and identifying when competitors change prices.

Important: Price is captured from the search crawl, not the PDP. Variation-specific prices (color, size) may not be captured. Treat as a directional pricing signal only.

Primary anchor: Item ID(s) (most precise) OR Brand + Retailer.

Key tiles:

  • At a Glance summary — max, median, min, avg price for the period
  • At a Glance trend — daily price trend line

Date filter name: Date Range. Default 13 weeks. Date Granularity defaults to Day — appropriate since prices change daily. No comparison period.

Edge case filters: Brand, Department / Category Tree, Item Rank Limit (1–100, default 5), Date Granularity.

Common mistake: Assuming prices reflect the exact PDP price or include all item variations — they don't. Search crawl price is directional.

Bulk Image Analyzer

🔒 Requires PDP crawl setup.

Displays all images on a brand's item PDPs in a table format. Allows quick visual audit of image quality, completeness, and compliance across the catalog. Amazon-specific.

Primary anchor: Brand (full catalog audit) OR Item ID (specific product).

Date filter: None — always shows most recent PDP crawl data.

Edge case filters: Item ID, Title, Parent Item ID, Child Item ID, Department / Category Tree.

Note: Only items included in the configured PDP crawl will appear. If a client's catalog isn't fully crawled, coverage will be incomplete.

Detail Page Scorecard

Report ID: brand-scorecard 🔒 Requires PDP crawl setup.

Composite content score for items across a brand's catalog assessing: title, images, bullets, A+ content, ratings, buybox, and availability.

Important: The SEO grading component is acknowledged as weak. Use this report for content completeness audits — are all content elements present? — not as an SEO performance measure.

Primary anchor: Brand + Your Seller (required) + Retailer.

Your Seller filter: Defines whose buy box win counts as "winning" for the buybox score component. Default is '1P Seller'. For brands selling through 3P sellers, enter the relevant seller name. This affects the buybox score calculation only — it does not restrict which items load.

Date filter: None — current-state PDP crawl data only.

Drill-through: Click any item to open the retailer-specific Item Scorecard for full content detail.

Common mistake: Over-weighting the SEO score component — use for content completeness, not SEO performance.