Build a signal-based ICP report for the demand gen team

<context>
I want to understand which segments of my ICP are showing the most buying activity right now — not based on last quarter's data, but based on what's actually happening in the market this month. I want to know which industries, company sizes, and geographies have the most funding rounds, exec hires, and headcount surges so I can concentrate demand gen spend where intent is highest.

My ICP:
- Industries to analyze: [e.g. "B2B SaaS, Fintech, Healthcare Tech" — or "all"]
- Company size ranges: [e.g. "50–200 / 200–500 / 500–1,000 / 1,000+"]
- Geographies: [e.g. "US / EMEA / APAC" — or "global"]
- Target function: [e.g. "Sales, RevOps, Finance" — the function we sell into]
- Signals to track: [e.g. "funding rounds, exec hires, headcount surge" — or "all signals"]
- Timeframe: [e.g. "last 30 days" / "last 60 days"]
- Slack channel for output: [CHANNEL NAME OR "return as report only"]
</context>

<task>
1. Use Lusha's signals layer to scan the ICP segments specified:
   - For each segment combination (industry + size range + geography): count signal activity
   - Signal types: funding events, exec hires in the target function, headcount surges 15%+, M&A as acquirer
   - Return signal counts and signal density (signals per 100 companies in the segment)

2. Rank segments by signal density:
   - A small segment with high density is more actionable than a large segment with low density
   - Top 5 segments by signal density
   - Bottom 3 segments — lowest signal activity

3. For the top 3 segments, find representative example accounts currently signaling:
   - Company name, size, industry, specific signal, verified contact in the target function
   - These illustrate what the signal looks like — they are not campaign targets

4. Build the ICP signal report:
   ## Signal heat map: segment matrix showing signal density per ICP segment
   ## Top 5 segments: segment name · density · count · recommended channel
   ## Bottom 3 segments: segment name · density · why signal is low
   ## Example accounts currently signaling: 3 per top segment
   ## Recommended budget shift: specific — which segment, which channel, directional shift

5. Post to Slack if channel specified.
</task>

<constraints>
- Signal density (signals per 100 companies) is the primary metric — not total count.
- Example accounts illustrate the segment pattern — not a campaign target list.
- Budget shift must be specific: not "increase spend on SaaS" but which segment,
  which channel, and directional shift.
- Zero-signal segments reported, not skipped.
</constraints>

The situation: A demand gen manager runs this at the start of the month before allocating Q3 budget across segments. ICP: B2B SaaS and Fintech, 200–1,000 employees, US and EMEA, RevOps and Sales function.

Signal heat map — last 30 days

Top 5 segments — concentrate spend here

1. B2B SaaS · 200–500 employees · US · density 15.1 Highest signal density in the ICP. Funding rounds and SDR/AE headcount surges are driving most signals. Series A and B companies in active growth phase. Recommended channel: LinkedIn paid + targeted cold email. Window is 4–6 weeks from signal.

2. B2B SaaS · 500–1,000 employees · US · density 13.1 Strong density driven by exec hires in Sales and RevOps functions — new leaders evaluating tools in the first 60 days. Recommended channel: LinkedIn paid targeted at new hires + ABM direct outreach to new exec contacts.

3. Fintech · 200–500 employees · US · density 11.5 Funding-led signals dominating — Series B and C rounds in US Fintech. Budget available, headcount targets being set. Recommended channel: Post-funding congratulations campaign + event invite to upcoming Fintech-focused event.

4. B2B SaaS · 200–500 employees · EMEA · density 9.6 Good density but lower than US equivalent — EMEA SaaS funding activity running at roughly 60% of US pace this month. Recommended channel: Maintain current EMEA spend, don’t increase until density matches US levels.

5. Fintech · 500–1,000 employees · EMEA · density 8.8 Steady signal activity. Not a priority increase — maintain current allocation.

Bottom 3 segments — consider pausing or reducing

Fintech · 500–1,000 · US · density 3.2 Very low signal activity despite being a large segment. Funding and hiring activity in US enterprise Fintech has slowed significantly this month. Recommend pausing paid spend here and redirecting budget to Segment 1 and 2.

Fintech · 200–500 · EMEA · density 4.6 Low density — EMEA Fintech mid-market is quiet this month. Maintain nurture email only.

B2B SaaS · 500–1,000 · EMEA · density 6.1 Below average. No immediate action — monitor next month before reducing spend.

Example accounts currently signaling — Segment 1

B2B SaaS · 200–500 · US — illustrative of current signal pattern

Example accounts illustrate what signals look like in this segment. Not a campaign target list — use the ABM target list play to build the full campaign list.

Recommended budget shift

Increase: B2B SaaS 200–500 US (Segment 1) — highest density, most actionable window. If currently 25% of budget, consider 35%. Increase: B2B SaaS 500–1,000 US (Segment 2) — exec hire signals mean new buyers actively evaluating. Good candidate for ABM direct outreach budget. Pause: Fintech 500–1,000 US — density too low to justify paid spend this month. Redirect to Segments 1 and 2. Maintain: All EMEA segments — density is below US but stable. No increase or decrease.

Illustrative example — fictional company names used. Run with your own ICP parameters to see live results.