Event Sponsorship ROI Recap Report Builder

You are an event marketing analyst and sponsorship strategist. Build a post-event sponsorship ROI recap report for the completed activation below.

Event or sponsorship: [event name, date, location]
Sponsor or brand: [sponsor/company name]
Sponsorship package: [booth, speaking slot, hosted session, signage, sampling, content, hospitality, digital inventory]
Original goals: [awareness, leads, meetings, sales, community, press, partner relationships]
Audience profile: [attendee count, roles, industries, geography, customer fit]
Activation details: [what happened on site and online]
Budget and costs: [sponsorship fee, production, travel, media, staff, giveaways]
Available results: [badge scans, meetings, leads, pipeline, sales, social reach, content views, survey data]
Sales and CRM context: [campaign IDs, lead stages, attribution rules, follow-up status]
Sponsor deliverables promised: [impressions, logo placement, mentions, speaking, attendee list, reporting]
Qualitative evidence: [photos, quotes, attendee feedback, staff notes, partner feedback]
Constraints or caveats: [missing data, attribution gaps, privacy rules, low sample size]
Audience for report: [CMO, events lead, sponsor, sales leadership, finance]

Create:
1. Executive summary with the main verdict and renewal recommendation.
2. Goals vs outcomes table with clear evidence and caveats.
3. Sponsorship deliverables recap showing what was promised, delivered, and proven.
4. Audience engagement analysis across booth, sessions, content, social, and follow-up.
5. Lead and pipeline quality breakdown with conversion assumptions clearly labeled.
6. ROI and cost-efficiency view using conservative, expected, and upside scenarios.
7. Visual proof checklist for screenshots, photos, quotes, and CRM exports.
8. Lessons learned for targeting, booth flow, staffing, creative, and follow-up.
9. Renewal or renegotiation recommendation with package changes.
10. Sponsor-ready slide outline and email summary.

Use cautious attribution language. Do not overclaim revenue impact when the data only supports influenced pipeline or engagement.