Briefing // For Nate
Tend at 30,000 ft.
Where we are, what's pending, what's next. Read this once. Reference forever.
Updated 2026-05-04
Owner: jj
Read time: 5 min
What Tend Is
Tend is the AI operator for ecomm.
Plug in your stack — Shopify, Meta, Klaviyo, your 3PL, email tool. Tend connects everything, watches the whole picture, and acts on what it sees.
The one-line pitch
"Your ecomm stack is 8 tools that don't talk to each other. Tend connects them and runs the work between them."
The Wedge
Triple Whale, Northbeam, Polar — they show you dashboards. Tend acts on what those dashboards would tell you.
Why It Works
Every ecomm operator spends Mondays stitching tools together by hand. They'd pay just to stop doing that. Tend doesn't just stop the stitching — it does the work that comes after.
Proof scenarios
Use these in any pitch. They make the abstract concrete.
01Meta CPMs spike on a SKU that's about to sell out. Tend pauses the ads.
02Holiday demand pacing 30% above last year. Inventory isn't. Tend places the reorder with your supplier.
03DHL is delaying a region. Tend pauses email campaigns to those zip codes.
04Klaviyo flow is pushing a SKU that's out of stock. Tend swaps the product in the flow.
Who Buys
ICP
- Shopify Plus (or close to it)
- $5M – $50M GMV
- Lean team (1 – 10 people running ops)
- Multi-channel: Meta + Klaviyo + 3PL + maybe Amazon
- Founder or ops lead who is AI-aware but not AI-native
Persona
Operator, 40s–50s. Built something real. Knows AI is happening. Doesn't have time to figure it out. Wants someone to install certainty into their Monday.
State of the Union
Built
- Positioning — AI operator for ecomm (May 2026)
- Site — withtend.ai (live, needs refresh)
- CRM — Close, Cal.com booking flow
- Email — hello@withtend.ai
- Proof — WWSH ontology, Nike US Market, Chanel
- Sales doctrine — dummy deck, fork structure
Pending
- Google Ads paused — needs new creative + LP
- Outbound sequences not yet running in Close
- Case studies — WWSH + Nike not yet public
- Pricing page — currently negotiated per deal
- Site refresh to match new positioning
The Plan
Next 30 days
Lock and load.
- Lock new ecomm positioning across site, deck, email
- Write 2 case studies (WWSH + Nike)
- Build outbound list — 200 Shopify Plus brands in ICP
- Refresh sales deck with the 4 proof scenarios + math
- Nate runs first 20 calls off jj's network warm intros
Next 60 days
First 5 paying ecomm customers.
- Productize one offering — fixed scope/price entry point
- Activate cold outbound — Close sequences from new list
- Restart paid — Google + Meta with ecomm-specific creative
- Close 5 paying customers on the practical track
Next 90 days
Scale the engine.
- $25K MRR target (productized) + 1–2 enterprise installs
- Self-serve discovery flow — site → calculator → call
- Hire #2 in sales if Nate is hitting
How We Sell
The doctrine. Five rules, every call.
01 // OPEN
Open with pain, not infrastructure.
Never lead with "AI" or "agents" or "ontology." Lead with: "What's the most annoying part of your Monday?"
02 // SHOW
Use the dummy deck.
7 slides, designed for operators who aren't technical. Build belief through concrete examples, not architecture diagrams.
03 // FORK
End with the fork.
Practical track: pick a workflow, we install it, $X/mo.
Technical track: full data layer + custom agents, $50K+ install.
04 // NOTE
Real-time notes on every call.
Granola or equivalent. Mandatory. Patterns emerge in the notes — that's where the next pitch is born.
05 // NAME
Concrete examples convert.
"Chanel does X. WWSH does Y. Nike has Z." Drop names where allowed. Specificity wins every time.
Roles
Nate owns
- All inbound from withtend.ai → Cal.com
- Close CRM hygiene + pipeline reporting
- First-call discovery + qualification
- Demo using dummy deck
- Closing the practical track ($X/mo deals)
- Routing technical-track deals back to jj
jj owns
- Brand, positioning, marketing, content
- Technical-track deals (custom installs)
- Product roadmap
- Hiring + team
The One Thing
We sell certainty to ecomm operators who are drowning in tools. Tend connects their stack and runs the work between them. Lead with the pain. Show them the proof. Close on a practical first step.