Skip to content

Target Audit & Inventory Linkage

Prompts for discovering, organizing, and swapping targets (keywords / ASIN targets). Use them to find untargeted high-potential KWs, swap out underperforming targets, detect creative fatigue, analyze Top of Search share, and plan SP coverage for sales-leading ASINs that aren’t yet running. Designed to streamline regular target-hygiene work.

What you want to doPrompt
Extract the top untargeted high-potential KWs / ASIN targetsPrompt 1
Identify the highest-purchase-rate competitor ASINs and the inefficient onesPrompt 2
Identify highest-CTR but untargeted unused KWs / ASINsPrompt 3
Swap the past 30-day underperformers with the top untargeted candidatesPrompt 4
Detect creative fatigue (CTR significantly below brand average)Prompt 5
Build an exclusion plan for low-CTR targetsPrompt 6
Identify highest Top-of-Search-share × high-performance keywordsPrompt 7
Build an SP-add plan for top-selling ASINs that aren’t running on SPPrompt 8

For deeper specs, see Safety / Automation phases / Troubleshooting.


Prompt 1: Extract the top untargeted high-potential KWs / ASIN targets

Section titled “Prompt 1: Extract the top untargeted high-potential KWs / ASIN targets”

Extract high-potential targets that are generating sales but aren’t yet registered as keyword / ASIN targets.

Extract the top {{TOP_N}} untargeted high-potential KWs / ASIN targets from the past {{PERIOD}}.
Sort by sales / clicks / CVR (highest first).

Placeholders: {{PERIOD}} (e.g. 30 days, default 30), {{TOP_N}} (e.g. 5, default 5). What it returns: An untargeted KW / ASIN × sales × clicks × CVR × recommended match-type table. Push the result into Create campaigns Prompt 3 / 4 to register them as Manual targets.


Prompt 2: Identify highest-purchase-rate competitor ASINs and inefficient ones

Section titled “Prompt 2: Identify highest-purchase-rate competitor ASINs and inefficient ones”

Among competitor-ASIN targets, identify both the highest-purchase-rate winners and the inefficient losers in one pass.

Rank last month's competitor ASIN targets by purchase rate, and pull out the
top 5 and bottom 5. Flag the bottom 5 as exclusion candidates.

Placeholders: none. What it returns: A competitor ASIN × purchase rate × spend × ROAS × high/low-efficiency-flag table, with exclusion recommendations for the low-efficiency entries.


Prompt 3: Identify highest-CTR untargeted unused KWs / ASINs

Section titled “Prompt 3: Identify highest-CTR untargeted unused KWs / ASINs”

Identify KWs / ASINs with the highest CTR that are actively delivering elsewhere but haven’t been registered as targets yet.

For the past {{PERIOD}}, identify the highest-CTR KWs / ASINs that are
actively delivering in other campaigns but are still not registered as targets.

Placeholders: {{PERIOD}} (e.g. 30 days). What it returns: An unused KW / ASIN × CTR × existing-source campaign × recommended-add-target table.


Prompt 4: Swap underperforming targets with top untargeted candidates

Section titled “Prompt 4: Swap underperforming targets with top untargeted candidates”

Build a swap plan: trade out underperforming targets for top untargeted candidates.

Pair recently underperforming targets (ROAS / orders) with top untargeted candidates
and propose a swap of {{N}} entries each way.
Include the swap source × swap destination × projected ROAS lift.

Placeholders: {{PERIOD}} (e.g. 30 days), {{N}} (e.g. 2, swap-count cap). What it returns: A swap-source (exclusion candidate) × swap-destination (add candidate) × projected ROAS-lift table. Execute swaps via Add negative keywords + Create campaigns approval flows.


Identify SP product ads whose CTR is below the brand average by a threshold, and treat them as creative-fatigue candidates.

Identify SP product ads whose CTR is more than {{THRESHOLD}}% below
the brand average, and flag them as creative fatigue.
Include days since the ad started serving.

Placeholders: {{THRESHOLD}} (e.g. 25, default 25%). What it returns: A product-ad × current CTR × brand-average CTR × days-active × recommended-action (creative refresh / pause) table.


Among search-query / ASIN targets with sufficient impressions, build an exclusion plan for the low-CTR entries.

In SP campaigns, analyze search-query / ASIN targets with {{MIN_IMPRESSIONS}}+ impressions,
and build a plan to exclude (NEGATIVE) the low-CTR ones
(below {{THRESHOLD}}% of the account average).

Placeholders: {{MIN_IMPRESSIONS}} (e.g. 1000, default 1000), {{THRESHOLD}} (e.g. 50, anything below 50% of the account-average CTR is “low CTR”). What it returns: An exclusion-candidate × impressions × CTR × delta-from-account-average × recommended-match-type table. Execute through the Add negative keywords approval flow.


Prompt 7: Identify highest Top-of-Search-share, high-performance keywords

Section titled “Prompt 7: Identify highest Top-of-Search-share, high-performance keywords”

Surface keywords with the highest Top-of-Search occupancy plus strong performance (low ACoS / high ROAS), so the “what’s already winning” set is visible.

Across active SP campaigns, identify keywords with the highest Top of Search share
plus low ACoS / high ROAS.
Also determine whether there is headroom to push bids further.

Placeholders: none. What it returns: A KW × Top-of-Search share × ACoS × ROAS × bid-headroom-judgment table. The judgment uses an IS%-of-95%+ threshold for “ceiling” vs “headroom”.


Prompt 8: SP coverage plan for top-selling ASINs not yet on SP

Section titled “Prompt 8: SP coverage plan for top-selling ASINs not yet on SP”

Identify top-selling ASINs that are active but not running on SP campaigns, and build an SP-add plan.

Identify the top {{TOP_N}} ASINs by sales, and for those that are active but
have no SP campaign coverage, build an SP-add plan.
Include recommended target campaign / starting bid / starting daily budget.

Placeholders: {{TOP_N}} (e.g. 10, default 10). What it returns: An ASIN × sales × recommended target campaign × starting bid × starting daily budget table. Execute the SP add via the Create campaigns approval flow.