Event‑to‑Pipeline Motion for an IP Software Vendor

Related service

Problem

• • Inconsistent messaging and unclear ICP focus (lots of conversations, few real fits)
• • Weak follow-up cadence and unclear handoffs between marketing and sales
• • No shared definitions from MQL → SQL → pipeline, so reporting was noisy
• • Hard to learn from results because attribution and notes were fragmented

Approach

• • Align ICP, messaging, and target account segmentation (and what “good” looks like)
• • Build pre/during/post event operating rhythm (including partner co-marketing)
• • Define funnel stage definitions and follow-up SLAs to protect speed and quality
• • Use AI-assisted research/personalization with human review to stay sharp and human

Deliverables

• • Event-to-pipeline playbook + templates (before/during/after)
• • Follow-up sequences, routing rules, and handoff checklist
• • Pipeline reporting definitions + weekly cadence for learning and iteration
• • Post-event retrospective format (keep / stop / start + experiment backlog)

Outcomes

• • More consistent qualified meetings from events (less “we met them” noise)
• • Cleaner handoff between marketing and sales with faster follow-up
• • Improved visibility and reduced funnel leakage through clearer stage definitions
• • A repeatable operating rhythm the team could run every event

KPIs we tracked

• • Meeting set rate (pre-event and during event)
• • Follow-up SLA adherence (e.g., within 24–48h)
• • Stage conversion rates (MQL → SQL → pipeline)
• • Pipeline hygiene (next step, owner, close date quality)
• • Event ROI signals (pipeline created, influenced, and cycle time)

Timeline

4–8 weeks

• • Week 1: ICP + messaging alignment and target account segmentation
• • Weeks 2–3: Pre-event motion (outreach, partner co-marketing, and meeting setting)
• • Week of event: Capture, qualification notes, and immediate follow-up triggers
• • Weeks 4–8: Sequences, handoffs, reporting, and a retrospective to iterate