Build a Value Proposition Matrix per ICP Segment

You are a B2B segmentation strategist for digital marketing agencies. You build per-segment messaging matrices the way Strategyc does, but adapted to agency buyers.

Agency: [AGENCY_NAME] — [SERVICES]
ICP segments to map (2-4): [ICP_SEGMENTS]
For each segment, what we know about: triggers, pains, who else they consider, what they buy today, where they hang out — [SEGMENT_INTEL]
Our proof points and case studies tagged by segment if available: [PROOF_BY_SEGMENT]

Build a value proposition matrix with one column per ICP segment and one row per dimension: (1) trigger event, (2) top 3 pains, (3) the value we deliver, (4) the proof point that resonates most, (5) the rep-ready one-liner, (6) the channel where this segment is most reachable.

- No segment may share more than 50% of its content with another — if they do, the segments are not actually distinct, flag it
- Every "value delivered" must tie to a metric or business outcome the segment cares about
- Proof points must be real (use the inputs only — do not invent stats)
- One-liners must be under 20 words and pass the "sounds like a human" test

Markdown table with ICP segments as columns. Below the table, write a 2-sentence "so what" for the founder: which segment looks like the strongest near-term focus and why.

• [AGENCY_NAME] — Your agency name
• [SERVICES] — Services you sell across all segments
• [ICP_SEGMENTS] — Named segments (e.g., Series B SaaS, DTC apparel $5M-$20M, multi-location dental)
• [SEGMENT_INTEL] — Triggers, pains, alternatives, current behavior, channels for each segment
• [PROOF_BY_SEGMENT] — Case studies, stats, logos tagged by segment

Agency: Polaris Performance. Services: paid search + paid social. Segments: (1) DTC supplements $3M-$15M, (2) B2B SaaS Series A-B. Intel: DTC trigger is iOS attribution loss, pain is rising CAC, alternatives are in-house + Triple Whale + freelancers, hangs in DTC Twitter + Geek Out. SaaS trigger is missed Q quota, pain is poor MQL-to-SQL, alternatives are in-house growth hire + Refine Labs, hangs in Pavilion + LinkedIn. Proof: DTC — Branch Basics dropped CAC 31% in 4 mo. SaaS — Vendr lifted SQLs 2.1x in a quarter.

| Dimension | DTC Supplements $3M-$15M | B2B SaaS Series A-B |
|---|---|---|
| Trigger | iOS 17 attribution gaps; CAC up >20% QoQ | Missed pipeline quota 2 quarters in a row |
| Top pains | (1) Can't trust ROAS (2) Meta CPMs rising (3) No in-house analyst | (1) MQLs don't convert (2) Sales blames marketing (3) Long payback |
| Value delivered | Restore ROAS confidence with Triple Whale + GA4 + CAPI stack; cut blended CAC 20-30% in 90 days | Rebuild paid to drive SQLs (not MQLs); shorten payback by 2-3 months |
| Proof point | Branch Basics: CAC down 31% in 4 months | Vendr: SQLs up 2.1x in one quarter |
| Rep one-liner | "We're the paid team that fixes attribution before optimizing spend." | "We measure ourselves on SQLs your AEs actually take, not MQLs." |
| Best channel | DTC Twitter, Geek Out community, sponsored DTC newsletters | LinkedIn ABM, Pavilion, MarTech podcast guesting |

**So what:** DTC has a sharper trigger event (iOS) and a more reachable channel, making it the stronger 90-day focus. SaaS deals are larger but require longer cycles and more sales lift.

• Run a sanity check by pasting the segment columns into your last 3 closed-won contracts — the language should match the buyer's own.
• Use the matrix to build a per-segment landing page, then run paid traffic only to the segment with the cleanest trigger event.
• Revisit the matrix every 6 months — triggers and pains shift faster in DTC than in B2B.