Eden

What do they actually do

Eeden connects an ecommerce brand’s store and other data sources, infers why each shopper hesitates or churns, and then generates and runs personalized campaigns on the brand’s behalf. It focuses on email first and also supports SMS and on‑site personalization blocks, delivering automated flows rather than one‑off templates tryeden.ai, YC page.

The product claims to automatically schedule campaigns, run A/B tests, and keep refining targeting and copy without manual setup. Access today is invite/demo‑led with no‑code onboarding; the team is two founders in YC S25, so usage is likely pilot/closed‑beta with hands‑on setup rather than fully self‑serve at scale tryeden.ai, YC page.

Who are their target customer(s)

• Solo DTC founder or one‑person marketer: Limited time and headcount make it hard to create many segmented campaigns or run ongoing tests, so they rely on generic messages that underperform and take time away from product and operations.
• Head of Growth/CRM at a lean, growing brand: Customer data sits across store, analytics, and support tools; they can’t easily tie it together to see why specific shoppers drop off, making experiments and personalization slow and manual.
• Retention/CRM specialist at repeat‑purchase or subscription brand: Facing abandonment and churn, current messaging can’t target the specific hesitation (price, shipping, returns), limiting recovery rates and LTV gains.
• Ecommerce operations/fulfillment manager: Marketing campaigns can trigger orders that strain inventory or shipping, causing rush costs and returns; they need campaigns aligned to operational constraints and margins.
• Small performance marketing agency/consultant: Time‑intensive segmentation, creative, and testing per client caps how many accounts they can manage and makes scaling expensive.

How would they acquire their first 10, 50, and 100 customers

• First 10: Founder‑led outreach to warm YC and personal networks plus targeted cold emails to solo founders and CRM leads, offering a free or discounted pilot with concierge onboarding in exchange for feedback and a brief case study.
• First 50: Package onboarding and 2–3 vertical starter flows into a repeatable pilot playbook; co‑sell with a few agencies/integration partners and publish early case studies and short demos with a clear pilot price.
• First 100: Shift to a low‑friction demo funnel with optional paid concierge setup, expand partner/referral channels, add public results and multiple case studies, and target CRM/growth titles with measured, ROI‑tracked outreach.

What is the rough total addressable market

Top-down context:

Ecommerce is multi‑trillion in annual sales, supporting strong, ongoing demand for marketing tools; global online retail sales were around $6T in 2024 Oberlo. As an upper bound, digital marketing software is estimated at roughly $100B in 2025, framing the broad software dollars Eden could tap over time The Business Research Company.

Bottom-up calculation:

Near‑term category TAM aligns with marketing automation plus email/SMS software (roughly $6–12B depending on definitions) where Eden directly competes today Fortune Business Insights, StraitsResearch. The practical buyer pool is a subset of the millions of online stores (including an estimated ~5M Shopify stores), likely in the hundreds of thousands that actively pay for automation/CRM tools Uptek, Capital One Shopping.

Assumptions:

• Focus on ecommerce/DTC merchants using email/SMS who are willing to pay for automation/personalization software.
• Initial pricing in a mid‑market SaaS range (e.g., low thousands of dollars annually per brand).
• Concentration in regions with higher ecommerce penetration and platform adoption (e.g., Shopify ecosystem).

Who are some of their notable competitors

• Klaviyo: Widely used email/SMS platform with automated flows and deep segmentation; strong overlap on channels, but built for marketer‑driven setup rather than an autonomous agent running end‑to‑end campaigns features, pricing.
• Omnisend: Omnichannel ecommerce tool (email, SMS, on‑site) with templates and automated flows; emphasizes marketer‑defined automations over continuous autonomous experimentation product.
• Attentive: SMS‑first messaging platform with audience tools and AI features; strong for SMS/email recovery and retention but less focused on stitching backend data into per‑customer ‘why’ stories and running cross‑channel agents overview.
• Phrasee: AI copy generation/optimization for brand‑aligned marketing language; overlaps on automated copy but not on connecting operational data or autonomously orchestrating multi‑channel campaigns overview.
• Nosto: On‑site personalization and product recommendations with testing/merchandising; focused on onsite experiences rather than full‑funnel, autonomous campaign operations across email/SMS/site product.