Portfolio Layer · GTM Operating System

The Misfits
GTM Engine

The full go-to-market across every platform and every offering, scored, ranked, and sequenced. One partner deal is a bet. A portfolio of parallel bets, run through a live intelligence console, is a strategy.

Misfits & Machines does not need Shopify to say yes. It needs a system where any six of thirty doors opening builds the same company.
Layer 3The GTM Engine (this document)
PREPARED BY REHAN SAJID FOR CHUCK HENGEL & JORDAN MAUER MISFITS & MACHINES · JUNE 2026
$38B
US CTV ad spend forecast for 2026, growing ~14%, the fastest major channel1
30
Partner targets scored across 3 tiers in the intelligence console below
7
Distinct offering vectors, so the company is never one product or one partner deep
$41M
Modeled base-case portfolio run-rate exiting year 3 (scenarios below, assumptions labeled)
01 · Strategy Thesis

Embed everywhere. Compete nowhere.

MNTN, Vibe, and tvScientific are spending venture capital to acquire SMB advertisers one at a time. Misfits owns something they do not: Annika, a proprietary AI that buys and optimizes linear plus streaming TV, and a LoRA creative stack that generates on-brand TV creative instantly10. That pairing should not be sold one advertiser at a time. It should be embedded where millions of advertisers already live.

THESIS / A

Distribution is the product

Shopify, GoDaddy, Klaviyo, ServiceTitan, and Toast collectively touch millions of SMB and DTC advertisers who have never bought a TV ad. None of these platforms has a native TV product. Misfits ships TV as a feature inside the dashboards they already open every morning, and the platform does the customer acquisition.

THESIS / B

One moat, many doors

Annika plus the LoRA creative stack is a cross-cutting moat: the same buying engine and the same creative factory power embedded TV, vertical packages, retail media white-label, an API, and a standalone creative product. Build the core once, sell it through seven vectors. Marginal cost of each new door approaches integration cost only.

THESIS / C

Portfolio beats pin-hope

A single partner deal has binary risk: one procurement stall kills the year. This plan runs parallel bets across 30 scored targets, with a console that says who to call first and what to say. If Shopify says no, Klaviyo, GoDaddy, and ServiceTitan do not care. The thesis survives any single rejection by design.

The job is not to close one platform. The job is to run a repeatable commercial system that converts a scored universe into LOIs, quarter after quarter.

That system is below: a live-style partner intelligence console, an offering expansion map, portfolio economics with scenario levers, and a sequenced year-one roadmap. It mirrors the account-signal engine I built and run today (CRM plus Apollo-fed scoring, hot-versus-not ranking, recommended opener and target contact per account), repointed at the Misfits partner universe.

02 · The Centerpiece

Partner Intelligence Console

Every target in the partner universe, scored 0 to 100 on four weighted criteria: Advertiser Density (x3), Channel Gap (x3), Embed Path (x2), Deal Economics (x2). Priority targets ranked by fit. Talk to the top of the list first. Click any row for the target contact and the recommended opener. Scores are a prioritization model, not audited factsM.

Live intelligence · not a static deck Snapshot 2026-06-12 06:00 ET · refreshes weekly
This console is not a candidate's slide. It is the operating system I would run in this seat from day one, regenerated on a schedule by my own agent stack. It pulls each partner's org map, open ad and monetization roles, and funding or earnings triggers, scores them on fit x intent x timing, and surfaces the person to recruit and the reason to call this week. Names and signals below are pulled from public sources; everything not specifically verifiable is labeled illustrative, never dressed up as fact.
Clay  org maps + contact enrichment
Apollo  people, titles, role changes
n8n  scheduled refresh + scoring jobs
AnalyzeLens signal engine  hiring + earnings + launches
Signals tracked Hiring Channel Gap Funding/Earnings Exec Move Public Statement Provenance REAL · PUBLIC ILLUSTRATIVE
This week's
top move
ServiceTitan · the signal just turned green
They are actively hiring a Senior PM, AdTech for Marketing Pro, and Marketing Pro Ads already proves Google spend against booked jobs. That is a company building the exact ad surface Misfits plugs into. Open the GM of Marketing Pro this week: same booked-job attribution, now for television, across $68.5B of trade volume. Highest fit x intent x timing on the board right now.
The job behind the signal: a platform hiring a monetization or ad-products lead is not a TV prospect, it is a company under pressure to turn users into ad revenue. That is exactly what Misfits sells. The console reads for that pressure first, and the door second.
misfits://partner-console · v1.0 SCORING LIVE
Tier
Status
Vector
# Partner Tier Fit Score Status DEN GAP EMB ECO Unlocks
WEIGHTS: density x3 · channel gap x3 · embed path x2 · economics x2 (each criterion 0 to 10) STATUS: HOT ≥78 · WARM 58 to 77 · COLD <58
Competitive lane · not partner targets
MNTNWatch
Public (IPO May 2025, ~$1.2B)9

Self-serve performance CTV chasing SMBs directly, Q1 2025 revenue $65M, up 48% YoY. The proof the demand is real, and the proof direct acquisition is expensive. They buy advertisers one at a time. We embed where advertisers already are.

tvScientificWatch / M&A
VC-backed performance CTV

Outcomes-priced CTV for performance buyers. Strong attribution story, no creative factory, no linear capability. A future acquisition or partner-channel candidate if consolidation hits the category.

Vibe.coWatch
Self-serve streaming ads for SMBs

Cheapest entry point in the category, $50 minimums, simple UI. Validates that SMBs will self-serve TV when friction drops. No proprietary buying AI, no embedded distribution. Speed is their only moat.

Why they are in a separate lane: all three sell directly to the same SMB and DTC advertisers Misfits will reach through platforms. They are the competitive set to beat on cost of acquisition (embedded distribution versus paid acquisition), and a consolidation watchlist. They are never partner targets, and the console above excludes them by design.

03 · Offering Expansion Map

Seven ways out of one product.

Embedded TV inside one commerce platform is the wedge, not the company. The same Annika buying engine and LoRA creative factory support seven distinct offerings, each unlocked by different partners in the console. Effort and payoff are directional model judgments, not forecasts.

VECTOR 01 · THE WEDGE

Embedded TV across commerce, vertical SaaS, and martech

A native "TV" tab inside platforms SMBs already use: campaign in minutes, LoRA creative auto-generated from the merchant's storefront, Annika buys linear plus streaming, results land back in the platform dashboard. The platform earns rev-share on a brand new line item.

Unlocked byShopify, GoDaddy, Wix, Squarespace, BigCommerce, Klaviyo, Mailchimp, HubSpot, Constant Contact
RationaleUS CTV is a ~$38B market in 2026 with SMBs the fastest-growing buyer segment1; Shopify alone has an estimated ~2.6M US merchants2, Klaviyo 193K+ DTC-centric customers5, GoDaddy ~21M customers12. Capturing a fraction of one percent of these bases creates a four-digit advertiser cohort.
Effort
Payoff
VECTOR 02

LoRA creative stack as a standalone product

Sell the AI creative factory by itself: brand-trained LoRA models that generate broadcast-ready TV spots in hours instead of months, announced publicly April 202510. Already built. Sells to anyone who buys TV anywhere, even on competitor platforms.

Unlocked byAgency networks, Simpli.fi, StackAdapt, The Trade Desk ecosystems, plus direct
RationaleTraditional TV spot production runs five to six figures per spot, the single biggest barrier after media cost. A near-zero-marginal-cost creative engine monetizes every TV buyer, including ones who never touch Annika.
Effort
Payoff
VECTOR 03

Retail media white-label

Retail media networks are racing offsite, and TV is the offsite channel they cannot build themselves. Misfits powers the TV layer behind their brand: their advertiser relationships and first-party purchase data, our buying engine and creative factory.

Unlocked byWalmart Connect, Instacart, Roundel (Target), Kroger Precision Marketing
RationaleUS retail media spend is on track for ~$76B in 20267; Walmart ad revenue alone hit $4.4B in fiscal 2025, up 27%6. Even a thin white-label slice of networks this size is a material stream, and their closed-loop sales data makes TV provably performant.
Effort
Payoff
VECTOR 04

Vertical TV packages

Pre-built, geo-targeted TV programs per trade: "TV for HVAC contractors" inside ServiceTitan, "fill Tuesday tables" inside Toast, "January memberships" inside Mindbody. Vertical SaaS owns the operating system and the revenue data of entire industries.

Unlocked byServiceTitan, Jobber, Housecall Pro, Toast, Mindbody
RationaleServiceTitan customers processed $68.5B in gross transaction volume in FY2025 across ~9,500 trade businesses3; Toast serves ~156K restaurant locations4. High-ticket local services are TV-native categories with provable job-level ROI.
Effort
Payoff
VECTOR 05

Agency, franchise, and white-label rails

Indirect channels: independent agencies resell Misfits TV to their SMB clients, franchise systems deploy co-op media dollars through one buying engine, and white-label martech providers bundle it invisibly. Thousands of sellers, zero added headcount.

Unlocked byIndependent agency networks, franchise systems, white-label martech providers
RationaleMost local and mid-market agencies cannot buy TV economically for sub-$50K budgets. Annika makes them TV-capable overnight, and franchise co-op budgets are pre-pooled TV-scale money looking for accountable execution.
Effort
Payoff
VECTOR 06

Annika + creative API as a developer product

Expose campaign creation, LoRA creative generation, buying, and reporting as an API. Any vertical SaaS adding a "marketing" tab becomes a customer without a bespoke partnership. The long-tail version of Vector 01: self-serve platform integration.

Unlocked byThe Trade Desk and StackAdapt ecosystems, long-tail vertical SaaS, dev platforms
RationaleEmbedded finance proved the pattern (Stripe did not sign a deal with every platform, it shipped an API). TV buying as infrastructure converts every future software company into a distribution channel at near-zero sales cost.
Effort
Payoff
VECTOR 07

Outcomes and attribution product

Use commerce order data (Shopify orders, Toast covers, ServiceTitan booked jobs) as attribution ground truth for TV. Sell the measurement layer itself: "TV you can read like paid search." Attribution doubt is the number one reason SMBs never try TV.

Unlocked byShopify, BigCommerce, Klaviyo, Toast, ServiceTitan (transaction-level ground truth)
RationaleShopify processed roughly $378B in GMV in FY20252. Order-level data plus Annika exposure data equals closed-loop TV measurement that incumbent TV sellers structurally cannot offer. This is the defensibility flywheel for every other vector.
Effort
Payoff
04 · Portfolio Economics

What the portfolio is worth.

An aggregate view across all five revenue streams, not one partner. Pick a scenario, then pull the two levers. These are modeled scenarios with labeled assumptions, built to be argued with, not audited.

Run-rate exiting year 3: $41.1M

Modeled annualized revenue to Misfits across all active streams, net of platform rev-share. Scenario presets set deal counts and advertiser cohorts; sliders set per-advertiser economics.

$75K

Blended across DTC merchants and SMBs. MNTN built a public company on this segment at comparable spend levels9. Model assumption.

20%

Net economics to Misfits after platform rev-share, modeled as a blended media take. Industry self-serve CTV platforms operate on materially higher gross margins. Model assumption.

MODEL, NOT FORECAST. Scenario unit counts (platform deals live, advertisers activated, white-label and product streams) are planning assumptions chosen to be defensible against the cited market anchors: $38B US CTV in 2026, ~$76B US retail media in 2026, and partner bases in the millions of merchants. Base case activates roughly 0.05% or less of any single partner's advertiser base. No figure here is a company projection.
Embedded TV (commerce + martech)
Vertical TV packages (trades, restaurants, fitness)
Retail media white-label
LoRA creative product + API
Agency / franchise / white-label rails
Total modeled portfolio run-rate
$41.1M
05 · Year One, Sequenced

Four quarters. Parallel bets. No single point of failure.

Mapped to the role's own phases: months 1 to 3 systems and landscape, months 4 to 6 economics and strategy, months 7 to 12 first LOIs and hiring. At every point at least three partner tracks run in parallel, so any one "no" reroutes effort instead of resetting the year.

Q1 · MONTHS 1 to 3
Role phase: systems + landscape

Stand up the engine

  • Console goes live against CRM + Apollo: all 30 targets enriched, scored, owners assigned.
  • Competitive watch instrumented on MNTN, Vibe, tvScientific (pricing, positioning, churn signals).
  • Annika + LoRA proof assets built: case data, demo reels per vertical, one-pager per vector.
  • First conversations opened: Shopify ecosystem, Klaviyo, GoDaddy (the hot three lanes).
Exit criteriaConsole operational, 10+ first meetings booked, proof kit shipped
Q2 · MONTHS 4 to 6
Role phase: economics + strategy

Price the doors

  • Full deal models for the top six (Shopify, Klaviyo, GoDaddy, Wix, ServiceTitan, Toast).
  • Vertical track opens in parallel: ServiceTitan and Toast pilot designs with job-level and cover-level attribution.
  • Supply conversation with Roku (inventory + its Shopify-linked SMB ads motion).
  • Retail media white-label discovery: Walmart Connect, Instacart requirements mapped.
Exit criteria6 priced deal structures, 2 pilot designs accepted in principle
Q3 · MONTHS 7 to 9
Role phase: first LOIs

Convert the hot list

  • Target: first two LOIs, one commerce or martech platform, one vertical SaaS, deliberately uncorrelated.
  • First paid pilot cohort live (50 to 100 advertisers through one embed surface).
  • LoRA creative standalone soft-launch through two agency networks (Vector 02 revenue while platform deals cook).
  • First hire: partner marketing lead to industrialize co-marketing per signed partner.
Exit criteria2 LOIs signed, pilot cohort live, creative revenue > $0
Q4 · MONTHS 10 to 12
Role phase: revenue + hiring

Prove the machine repeats

  • Pilot-to-paid conversion on cohort one; cohort two opens on second platform.
  • Third LOI track from the warm list (Mailchimp, HubSpot, Walmart Connect, or franchise rails).
  • Annika / creative API alpha with two design partners (Vector 06 seeded).
  • Team to four: lifecycle marketer, partner success, RevOps analyst on the console.
Exit criteria2 to 3 LOIs total, first recurring revenue, repeatable playbook documented
The portfolio rule: never fewer than three live tracks.

If Shopify stalls in procurement, Klaviyo and ServiceTitan do not slow down. If platform deals all run long, the LoRA creative product and agency rails generate revenue with zero platform dependency. Every quarter ends with more open doors than it started with. That is the difference between a deal and an engine.

Drill-down · How one console row gets executed

The Shopify Deal: row one, fully worked.

Every row in the console above expands into the same artifact: wedge, competitive teardown, deal structure, and a working economics calculator. The Shopify Deal is that artifact for the #1 ranked target, built end to end as the proof of method. Read it as the template every other row inherits.

Open The Shopify Deal →
95 / 100
Console fit score, rank #1 of 30
~2.6M
Estimated US Shopify merchants (est.)
~$378B
Shopify FY2025 GMV, the attribution ground truth
06 · Sources & Methodology

What is verified. What is modeled.

Verified factsCited anchors

  1. US CTV ad spend ~$38B in 2026, growing ~14%, ~$51B by 2029. eMarketer US Ad Spending 2026
  2. Shopify: FY2025 GMV ~$378B (Shopify investor reporting); ~2.6M US merchants is a widely used estimate, labeled est.; App Store terms 0% on first $1M then 15% rev-share. Shopify IR
  3. ServiceTitan: ~9,500 active customers and $68.5B gross transaction volume, FY2025. SEC 8-K, Mar 2025
  4. Toast: ~156,000 restaurant locations as of Sept 30, 2025. Digital Transactions / Toast Q3 2025
  5. Klaviyo: 193,000+ customers at end of FY2025, revenue up 32%. Klaviyo IR, Feb 2026
  6. Walmart global ad revenue $4.4B in fiscal 2025, up 27%. RMIQ Retail Media Guide / Walmart reporting
  7. US retail media ad spend on track for ~$76B in 2026. eMarketer via RMIQ
  8. Roku crossed 90M streaming households, Jan 2025; over half of US broadband households. Roku Q4 2024 shareholder letter
  9. MNTN: IPO May 2025 at ~$1.24B valuation; Q1 2025 revenue $65M, up 48% YoY. Quo Vadis MNTN IPO analysis
  10. Marketing Architects + Misfits & Machines LoRA AI creative announcement, Apr 17, 2025; Annika AI media buying. Business Wire · Marketing Architects blog
  11. Kroger Precision Marketing built on 84.51° purchase data from 60M+ households. RMIQ Retail Media Guide
  12. GoDaddy: ~21M customers. GoDaddy company reporting via Luminix

Model assumptionsThe prioritization layer

  1. All four sub-scores (Advertiser Density, Channel Gap, Embed Path, Deal Economics) are 0 to 10 judgments applied consistently by one analyst using the cited anchors. They rank priority. They do not measure companies.
  2. Hot / Warm / Cold thresholds (78 and 58) are calibration choices made so the hot list matches realistic first-year carrying capacity (about six concurrent pursuits).
  3. Portfolio economics: deal counts, advertiser cohorts, per-advertiser spend, take rates, and stream values are planning assumptions, marked on the page where they appear. No figure is a forecast or company projection.
  4. Target contact titles are function-level archetypes for outreach planning, not statements about specific individuals.
  5. Recommended openers are drafted positioning, to be tailored per contact with live signals (hiring posts, product launches, earnings language) before any send.
  6. Competitive lane assessments (MNTN, tvScientific, Vibe.co) summarize public reporting plus analyst judgment on moats; acquisition flags are strategic options, not recommendations to transact.

Scoring methodology

FIT = 3 × Density + 3 × ChannelGap + 2 × EmbedPath + 2 × DealEconomics  (each 0 to 10, max 100)  |  HOT ≥ 78 · WARM 58 to 77 · COLD < 58

Advertiser Density (x3): how many reachable SMB or DTC advertisers the partner concentrates. Channel Gap (x3): absence of a native TV or video ad product, the bigger the gap, the bigger the opening. Embed Path (x2): existing dashboards, app stores, and marketplaces Misfits can distribute through without building a sales floor. Deal Economics (x2): rev-share and media-markup potential net of integration cost. Density and gap are weighted highest because distribution and whitespace are the two things money cannot quickly buy; embed path and economics are execution variables a good team can improve. The same rubric is applied to all 30 targets so ranks are comparable even where any single absolute score is debatable.