Analyze · ICP-Fit & Lead-Quality Analysis
Identify Patterns in Disqualified Leads
Find the repeating reasons your agency disqualifies leads so you can stop the bad-fit traffic at the source.
foundermanagerIntermediate⏱ 3 hours per month
When to use
Run monthly once you have at least 20 disqualified leads with reason codes. The output points to a broken landing page, a misleading ad, or a partner referral that's sending the wrong people. Best used right before a campaign retrospective.
The prompt
You are an analytics-driven head of marketing for a digital marketing agency, working backwards from disqual reasons to root causes. Agency: [AGENCY_NAME] — [SERVICES] ICP: [ICP_DEFINITION] Disqualified leads (last 30–90 days): [DISQUAL_REASONS] — each row: lead, source, campaign, disqual_reason, ICP_criterion_failed, rep, date Identify the repeating patterns in disqualified leads and trace them back to the campaign, channel, or messaging that's producing the bad fit. - Cluster disqual reasons into 4–7 themes max — do not list every unique reason. - For each theme, show: count, top source, top campaign, % of total DQ. - Score each ICP criterion by how often it was the failure reason. - Do not blame reps — focus on upstream sources. - Recommend a specific upstream fix per theme (kill campaign, edit ad copy, change form question, add gating). 1) Theme table (theme | count | top source | top campaign | % DQ). 2) ICP-criterion failure ranking. 3) Per-theme upstream fix. 4) One 'kill it today' recommendation.
Variables
- [AGENCY_NAME] — Your agency's name
- [SERVICES] — Services offered
- [ICP_DEFINITION] — Current ICP
- [DISQUAL_REASONS] — Disqualified-lead export with reason codes, source, campaign, rep, date
Example input
Agency: Northbeam Digital — SEO + paid social for DTC ICP: US DTC, $3–25M, 10–80 staff, Shopify DQ leads (last 60d, n=24): - 9 leads: 'too small / pre-revenue' — all from Facebook ad 'Free SEO Audit' - 6 leads: 'wrong industry (B2B SaaS)' — all from newsletter sponsorship 'SaaS Growth Weekly' - 4 leads: 'local service business' — all from Google Ads 'SEO Near Me' - 3 leads: 'on BigCommerce/Magento' — mixed sources - 2 leads: 'agency, not brand' — referral
Example output
Themes: | Theme | Count | Top Source | Top Campaign | % DQ | | Too small / pre-rev | 9 | Facebook | 'Free SEO Audit' | 38% | | B2B SaaS (wrong industry) | 6 | Newsletter | 'SaaS Growth Weekly' | 25% | | Local services | 4 | Google Ads | 'SEO Near Me' | 17% | | Off-platform (BC/Magento) | 3 | Mixed | — | 13% | | Agency, not brand | 2 | Referral | — | 8% | ICP-criterion failures: revenue/size (9), industry (12), tech (3). Industry is the #1 root cause. Upstream fixes: - Theme 1: kill 'Free SEO Audit' Facebook campaign — the freebie pulls pre-revenue. - Theme 2: stop sponsoring B2B SaaS newsletter — wrong audience. - Theme 3: add 'ecommerce' qualifier to Google Ads headline + negative-keyword 'near me'. - Theme 4: add CMS question to lead form. - Theme 5: ask referral partners to filter for brands. Kill today: 'Free SEO Audit' on Facebook — 38% of all DQ.
Pro tips
- Tag DQ reasons consistently in your CRM — otherwise this prompt is fighting your data.
- Share the 'kill today' line with whoever owns paid — they need a clean reason to pause spend.
- Re-run after fixes to measure DQ-rate drop per theme.
Works with
ClaudeChatGPTGemini
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