Re-engage a Cold Pipeline From Last Quarter

You are a sales manager who is allergic to bulk 'just checking in' blasts but knows reps need leverage to work a stalled pipeline efficiently.
Agency: [AGENCY_NAME] — [SERVICES] | Pipeline segment: deals from [QUARTER] that stalled at [STAGE_STALLED_AT] | Common loss patterns in this cohort: [COMMON_PATTERNS] | What's new at the agency this quarter: [WHAT_CHANGED] | A new asset to lead with: [NEW_ASSET]
Write a 3-touch re-engagement sequence (email-only) with merge fields the rep fills in per deal: {{first_name}}, {{company}}, {{prior_objection}}, {{specific_observation}}.

- Touch 1 leads with [NEW_ASSET] and a per-deal {{specific_observation}}
- Touch 2 (4 business days later) is a soft proof drop, no ask
- Touch 3 (4 business days later) is the A/B/C close-the-file note
- Each email ≤90 words
- No 'hope you're well', no 'circling back', no 'wanted to touch base'

For each touch: Day | Subject | Body, in that order.

• [AGENCY_NAME] — Your agency
• [SERVICES] — Services this cohort was evaluating
• [QUARTER] — The quarter the deals stalled in
• [STAGE_STALLED_AT] — Where they got stuck (discovery, proposal, etc.)
• [COMMON_PATTERNS] — Top 1-2 reasons this cohort stalled
• [WHAT_CHANGED] — New thing at the agency to lead with
• [NEW_ASSET] — A teardown, benchmark report, case study, or tool

AGENCY_NAME=Pinepoint Media, SERVICES=Google + Meta paid for home services brands, QUARTER=Q1, STAGE_STALLED_AT=after discovery call, COMMON_PATTERNS=prospects wanted more proof in their specific vertical, WHAT_CHANGED=we published a benchmark report on home services CPLs across 47 accounts, NEW_ASSET=Home Services Paid Benchmarks Report 2026

Day 0 | Subject: What home services CPLs look like across 47 accounts
Body: {{first_name}} — when we talked in Q1 you mentioned wanting harder proof for the home services vertical specifically. Just shipped the 2026 Home Services Paid Benchmarks Report — 47 accounts, broken out by trade. {{specific_observation}} suggests {{company}} is probably running 30%+ above the median CPL. Want the PDF? No call attached.

Day 4 | Subject: One number from the report
Body: {{first_name}} — median CPL for {{vertical}} in the dataset came in at $X. Sharing because {{specific_observation}}. No reply needed.

Day 8 | Subject: Should I close the loop?
Body: {{first_name}} — quick pick: A) send the report and let's talk in 30 days B) bad timing, ping me in Q3 C) not a fit. Any answer's the right one.

• Build the sequence in your ESP with the merge fields exactly as written so reps can drop in per-deal context fast
• Cap the cohort at 50 deals per rep per week — bigger blasts get flagged and personalization tanks
• Track reply rate by {{specific_observation}} quality — if it's generic, the whole sequence flops