The category will be won on trust
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VP Marketing · Strategy Assessment

The category will be won on trust, not just features.

Hatch doesn’t sell AI. It solves service businesses’ biggest growth challenges using AI.

Aladdin Elalfy · VP Marketing candidate
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01 — Assessment

Hatch has the product and the proof. What it doesn’t yet own is the category.

Real strengths to build on

Broad, not a point tool

Voice, SMS, and email AI on one platform, plus proactive journeys across the customer lifecycle. Most rivals sell one slice.

Proof at a scale competitors can’t match

$5.1B driven, 2,000+ brands, named ROI: High Ground (81% booked), Pella (30% growth, no new staff), Bone Dry ($7M rehash).

Backed by Yelp

A public parent brings brand, balance sheet, and a demand marketplace rivals would have to buy. An asset to use where it fits, not the engine the plan leans on.

The real gap: the category is unclaimed

The market is a wall of jargon

Every rival sells escalating AI language: “AI CSR,” “operating system,” “AI workforce.” It describes the technology, not the owner’s problem.

Business owners are confused and skeptical

Owners don’t distrust any single product. They distrust “AI” itself, now attached to every service, and can’t tell which one delivers. No brand has earned the default.

Room to stand apart

Everyone sounds the same, so the voice is where you stand out. Plain language that breaks from the jargon, matched to the product and proof, which are already differentiated.

The thesis

The category will be won on trust, not just features. Vendors have made AI confusing and buyers are rightly skeptical, so the business that earns owners’ confidence becomes the industry’s benchmark. That is the opening, and it is Hatch’s to take.

02 — Growth strategy

Reach $100M ARR in three phases: instrument, scale what converts, then earn the trust position.

$25M
End ’25
baseline
$34M
Q1 ’26
~$48M
End ’26
~$72M
End ’27
$100M
End ’28
target
$25M to $100M, ~4x in three years. About 59% CAGR off the year-end 2025 base. Ride today’s ~92% growth in 2026, then decelerate as the base scales. The $34M Q1 run-rate already paces ahead of plan. Context. Yelp’s public $250M other-revenue run-rate commitment by 2028, with Hatch the largest of three drivers.
Months 1–2

Instrument

  • Funnel diagnostic: CAC and payback by channel
  • Fix attribution; define one marketing-sourced pipeline number
  • Stand up Yelp distribution as a measured channel
Months 3–4

Scale what converts

  • Double down on channels and segments that produce pipeline; deprioritize the rest
  • ABM into enterprise, franchise, multi-location
  • Proof-led content and owned events engine
Months 5–6+

Earn the trust position

  • Become the category’s clearest, most credible voice
  • Benchmark report and references that prove it
  • Plain-language brand that breaks from the jargon pack

Quality, not quantity. What counts is marketing-sourced pipeline that converts to SQL, not raw lead volume.

Spend where it compounds, measure what converts.

Onlinecapture demand + scale proof
Paid search to capture the “AI CSR” demand owners already search for
Proof-led SEO and content: outcomes, not abstract AI claims
Lifecycle email, paid social retargeting, and webinars that show the product working
Yelp distribution turned into an instrumented, measured channel
Offlinewhere skeptics are won in person
Industry trade shows where owners watch the product work live
ABM direct mail to high-value and multi-location accounts
Owned roadshows and operator dinners for high-value accounts
Partner co-marketing: ServiceTitan, Yelp, Siro bring borrowed trust
Customer references and word-of-mouth, the strongest proof of all
Leading · weeks

Reply and meeting-acceptance rates, MQL to SQL, pipeline created. Early signal that programs are landing.

Lagging · quarters

Whether it moved revenue: marketing-sourced pipeline that converts to SQL, influenced revenue, and CAC and payback that hold up.

Did we win trust?
  • Branded search growth
  • Share of voice on category terms
  • Organic and inbound demand share
  • Press, analyst, and review-velocity lift
03 — Messaging

Lead enterprise and multi-location. Per-location pricing makes it the fastest path to the number.

The per-location math
Single-location SMB1 unit of ACV
Regional multi-location (~25 sites)~20–25 units
Enterprise / franchise grouphigher still

So the incremental ~$75M from a $25M base is either: hundreds of multi-location accounts, or tens of thousands of single-location SMBs. Same ARR, very different motion, CAC, and team.

Why this is the segment to lead with

Fewer logos to hit an aggressive number, far less CAC drag (Hatch was cash-flow negative at acquisition), and these are the buyers whose problem Hatch fits best: standardize every location, protect margin, and watch performance across all of them. You hit the number faster here.

SMB is not abandoned

It keeps running through its channels at lower focus and spend, with Yelp’s distribution as the low-CAC route. Lead with enterprise, keep SMB on.

Reposition AI as the means, not the product.

The category sells AI as the product
“The AI CSR platform.” “The AI-native operating system.” “The AI workforce.”

AI is the thing they ask you to buy. The owner has to decode the technology before they can see any value.

Hatch sells the result. AI is how.
“Hatch doesn’t sell AI. It solves your biggest growth challenges using AI.”

AI moves from the product to the means. What’s sold is the growth outcome; AI is just how it’s delivered.

The 30-second elevator pitch
For the enterprise / multi-location owner
“Run dozens of locations and the ones quietly losing leads look no different from the ones winning, until the revenue is gone. Hatch answers every call, text, and message and chases every lead until it is booked, using AI, so every location performs like your best and you capture the revenue you’re leaking without adding headcount, with real-time visibility into every location’s performance.”
Why it works
Names the hidden problemThe locations losing leads look just like the winners
Standardize at scaleEvery location performs like your best one
Protects marginCaptures the revenue you’re leaking without adding headcount
Central visibilityReal-time view of every location’s performance
AI as the means“Using AI,” never the thing being sold

Validate and iterate: win/loss and customer interviews, A/B tests in paid and email, sales-call language mining, a 2-week read on reply and booking rates. The plain message earns its place only if it moves pipeline.

04 — Team & collaboration

Three functions on one shared foundation.

VP Marketing
Brand, Creative, Content & PR
Brand & Content LeadLEAD
Creative / Web
Content WriterPROPOSED
Demand & Growth
Demand & Growth LeadLEAD
Lifecycle Marketing
Events
Partnership MarketingPROPOSED
Product Marketing
Product Marketing DirectorLEAD
Product Marketing Mgr
Product Marketing Mgr
Shared foundation
Marketing Ops & AIThe data, analytics, and AI tooling all three pillars run on
on team / arrivingopen reqproposed add (needs headcount)
Executive teama defensible plan and the numbers behind it
Salesshared pipeline number, MQL to SQL SLA
Productpositioning, launches, competitive intel
Customer Successproof and references: our customers are the marketing
Yelpstrategy and brand alignment, plus a distribution channel
05 — Immediate campaign

Launch a targeted ABM play: a personalized analysis, built before first contact, showing each operator what standardizing every location to their best is worth.

Show them the revenue trapped between their best and worst locations

The analysis.

Before any outreach, Hatch builds each target a portfolio readout from public signals alone: response speed, review velocity, and answered-channel rates, location by location. It surfaces the spread between their strongest and weakest sites, and what closing it is worth.

Why it works.

It names a problem leadership suspects but can’t see clearly: their locations are wildly inconsistent. Grounded in Yelp’s publicly published reply-speed economics, it shows the revenue that inconsistency leaks across the whole group, and frames the fix as bringing every location up to their best, without adding headcount.

How it runs
  • Tier-one list of enterprise, franchise, and multi-location operators
  • Analysis built per account, delivered as physical direct mail to the operator’s leadership team
  • Digital ABM ads and Sales follow-up wrapped around the mailer
Sample · built by Hatch before any outreach
Location consistency analysis
Prepared for a 28-location HVAC group · public signals only
Top 6 sitesreply under 5 min · 4.7★ · booking most inbound
Bottom 9 sitesreply 1–3 hrs · 3.9★ · losing first-contact wins
~$1.4M / yr
estimated revenue leaking from the gap between best and worst locations, recoverable without adding a CSR
Illustrative. Modeled from public review velocity and response behavior across the group’s locations, using Yelp’s published reply-speed economics. The real figure is built per account before the first conversation.
Why this campaign, now
In market quickly: no new product or integration to build
Built before first contact: the analysis needs nothing from the prospect
Speaks the enterprise language: consistency, margin, and EBITDA
Personalization only Hatch can credibly do

How success is measured

Primary: marketing-sourced pipeline and deal velocity in named accounts
Account health: account engagement and buying-committee penetration
Leading: mailer response, meeting acceptance, analysis-to-conversation rate
Explicitly not: impressions or raw lead counts
Final thoughts

The category will be won on trust. Hatch earns it by selling the outcome, the proof, and the means to deliver it.

Everyone else sells AI as the product. Hatch sells growth and treats AI as how, backed by proof no competitor can match and demand only Yelp can provide.

Stand apartSell the outcome, not the AI, while the category sells jargon
Prove itLead with proof; make the $5.1B the spine
Own the categoryThe brand owners trust becomes the one they buy
Aladdin Elalfy · VP Marketing candidate