Portfolio/Jeff ChurchWednesday, April 29 at 9:02 PM EST
⌘KNotifications
Cy
JC
Paid media

Jeff ChurchACTIVE

Last touched 1d ago
Review 0 actions
Status
active
Pending actions
0
none queued
Analyses shipped
1
latest 2026-04-29
Last touched
1d ago
Top of mind
0 pending
No proposed actions yet. Add a `### Title` heading under `## Pending` invault/clients/jeff-church/queue.md.
Analyses
CPG Intelligence Stack — Architecture Map
2026-04-29 · 2026-04-29-cpg-intelligence-stack.md
Recent activity
2026-04-29
2026-04-29
### 19:55 — [intake] Initial conversation kicked off; deal context established Jeff is a serial CPG operator (Suja Juice $100M+, 5 exits totaling $700M+) and currently runs Dream Makers HQ — a CPG accelerator, bootcamp, and founders members…
Vault README

Jeff Church

Slug: jeff-church Status: Active prospect — high-leverage connector First contact: 2026-04-29 Owner: Ricki

Who he is

Serial CPG operator. Co-founder/CEO of Suja Juice (scaled to $100M+ in <7 years, exited). 35+ years in CPG, 8 companies founded, 5 exits totaling $700M+. Has led 35+ funding rounds raising $275M+ in capital.

Currently runs Dream Makers HQ — a CPG accelerator + bootcamp + founders membership where he mentors and coaches CPG brand founders. Bookable on intro.co/JeffreyChurch.

LinkedIn: https://www.linkedin.com/in/jeff-church-06841629

Why this matters — the $100K/mo math

Jeff sits on top of a network of CPG brand founders (his accelerator, his bootcamp, his membership, his investor network). If we build him a CPG intelligence stack that demonstrably works for one of his brands or portfolio companies, he is positioned to route us ~20 paying clients at $5K/mo = $100K/mo recurring within his network.

That makes the pilot for Jeff worth the equivalent of converting 20 staffing customers from the North Star sprint. Treat as Tier-1 priority.

What he wants

A unified AI-powered intelligence layer for CPG brands that plugs into the messy reality of CPG (DTC + retail + wholesale + distributor data) and gives an operator clear daily decisions: where to double down, what to cut, where to expand. NOT another dashboard. NOT another data tool. The "AI brain" sitting on top of everything.

Our angle

Cynthia Reach already has the bones: Postgres + graph + LLM scoring + daily batches + share UI. Reach scores candidates for recruiters; for Jeff we score SKUs / channels / retailers for CPG operators. Same shape of problem, different node type. We don't build a new product — we build a service on top of Reach infra.

State (2026-04-29)

  • Conversation kicked off; Jeff sent his own CPG-data analysis (good signal — he already knows the problem space and the data fragmentation reality)
  • Identify which brand(s) he wants the pilot run on — his own portfolio company or a paying mentee?
  • Architecture mapped (see analyses/2026-04-29-cpg-intelligence-stack.md)
  • Pilot proposal drafted (see notes/pilot-proposal-draft.md)
  • Pilot scoped + signed
  • Brand-1 integrations live (Shopify + Klaviyo + Meta + Google Ads at minimum)
  • First daily AI ops brief delivered
  • Wow demo → Jeff routes the next 3 founders
  • Convert to retainer rev

Open questions for Jeff

  1. Which brand do we pilot on? His own (Dream Makers HQ portfolio) or a mentee brand? Ideally one with ≥$5M revenue so the data is rich enough to be interesting.
  2. Does target brand have SPINS / Nielsen / IRI access? (If yes, huge unlock. If no, we work without.)
  3. What retailers is the brand in — and do they have the portal exports (Target Retail Link, Whole Foods supplier portal, Sprouts vendor portal)?
  4. Distributor relationships — UNFI, KeHE, regional? We want to ingest their reports.
  5. Tech stack today — Shopify yes/no, Klaviyo yes/no, what ERP/inventory system, what ad platforms.
  6. What does success look like to Jeff? (Specific KPI to hit in pilot — e.g. "find 3 actions that move revenue 5%")

Subfolders

  • analyses/ — Architecture, data-stack mapping, brand-specific analyses
  • notes/ — Pilot proposal, deal notes, transcripts, working docs
  • data/ — Brand exports, scraped data, Apify outputs, CSVs
  • timeline.md — Append-only log of every notable interaction