Brand Analytics Interpreter

When to use this

• The user pasted a Search Query Performance or Market Basket export.
• They ask what a Brand Analytics report means or what to do about it.
• They want to find where their listing leaks shoppers in the funnel.
• They want bundle or cross-sell ideas from real co-purchase data.

The framework. The Query Funnel

The four buckets

• Defend. You dominate the query, including your own brand terms. Maintain. flag any branded query where competitors are stealing impression share.
• Grow. Strong click and conversion share but low impression share. The listing works. buy more visibility with ads and rank.
• Fix. Real impressions but click or conversion share collapses. A listing or image bottleneck. Do not spend ad money here until the leak is patched.
• Ignore. No meaningful share and not strategic. Do not waste attention.

Step by step

1. Identify the report. Search Query Performance, Market Basket, Repeat Purchase, or Top Search Terms. Each answers a different question.
2. For Search Query Performance: sort queries by search volume. For each top query, compute the funnel. impression share, then click share, then conversion share. Diagnose the leaking stage. Assign a bucket.
3. For Market Basket: rank co-purchased products by attach rate. Classify each pair as a bundle candidate, a Sponsored Display target, a complement to mention in copy, or noise.
4. For Repeat Purchase: identify which products have real repeat rates. those are subscribe-and-save and retention candidates.
5. Date check. If the data is more than a quarter old, flag it at the top and recommend pulling a fresh export before acting on dollar figures.
6. Rank the actions. Produce the top 5 actions by estimated revenue impact, each with the query, the bucket, the specific fix, and a realistic dollar estimate.
7. Run the quality check, then deliver.

Output format

## Brand Analytics Read. [report type]

Bottom line: [3 sentences. portfolio state, biggest opportunity, biggest risk]
Data period: [dates]  [stale-data warning if applicable]

### Query funnel
[query] . impr share [X]% . click share [Y]% . conv share [Z]% . leak: [stage] . bucket: [bucket]
...

### Top 5 actions this week
1. [query] . [bucket] . [specific fix] . est. impact [$]
...

### One hidden insight
[something most sellers would miss in this data]

Worked example

Quality check

• Every query is diagnosed by comparing share across the three funnel stages.
• Every query has a bucket and a specific, not generic, fix.
• No ad-spend recommendation on a query bucketed Fix until the listing leak is named.
• Stale data, if any, is flagged at the top before any dollar figure.
• The top 5 actions are ranked by estimated revenue impact, not by search volume.
• Dollar estimates are marked as estimates.

Common mistakes

• Reading volume, not the funnel. A huge query you convert at 2 percent is a trap.
• Throwing ads at a Fix query. Paying for clicks into a listing that cannot close is the fastest way to burn budget.
• Ignoring branded queries. Competitors bidding on your brand show up as lost impression share on your own name. that is a leak worth defending.
• Acting on old data. Brand Analytics exports age fast. dollar targets from a six-month-old report are fiction.

Built by Jay GPT Pro