Discount-first email campaigns repel shoppers – platforms that use behavioral data to help buyers decide outperform them every time.
ENTRY ANGLES
Rebuild sales tools with 'remove friction' goal instead of 'persuade' · Personalized problem-solver approach to familiar retail tools · Help visitors buy rather than persuade them to buy
VERTICALS
CAPABILITIES
Personalization technology, Conversion optimization, Sales tool platform development
EDEN FOUNDER
“Analyze everyone who abandoned a cart last week and build email sequences that bring them back.”
Email campaigns are one of the most common tools online retailers use to win back shoppers – recovering abandoned carts, moving stale inventory, or announcing new arrivals.
Most store owners assume the main reason people don't buy is price. So their emails default to discounts: "your personal offer," "flash sale," and so on.
Those campaigns tend to underperform. Maybe price isn't the issue at all.
Eden built an email marketing platform that "turns user data into revenue" – specifically by understanding why individual shoppers didn't convert, and sending them the message that addresses that actual barrier.
Before Eden, a typical trigger rule looked like: "user visited the sofa page 5 times without buying → send coupon." After Eden, the AI engine aggregates that user's full behavioral trail across multiple data sources. It discovers that the user didn't just browse the sofa five times – they also downloaded the product spec sheet (including dimensions), read reviews, and asked a support chat about assembly difficulty.
Conclusion: price isn't the blocker. Uncertainty about getting this thing into their apartment and putting it together is. So instead of a discount, Eden sends a video walkthrough of the assembly process and offers white-glove delivery with full setup included.
Eden doesn't make store owners run this analysis manually. A merchant might say: "Analyze everyone who abandoned a cart last week and build email sequences that bring them back." The AI digs into every relevant data source – Google Analytics for session behavior, Zendesk for support history, Klaviyo for email engagement patterns, and more – and segments those abandoners by the most likely reason they didn't check out.
The reasons can be anything: uncertainty about sizing, doubts about whether a material is appropriate for the season, anxiety about the returns process, or concerns about delivery terms. Eden then generates a tailored email for each segment. The size-uncertain shoppers get a fit guide. The delivery-uncertain ones get a comparison of courier options for their specific address. Each message targets the actual obstacle.
Eden is in the current Y Combinator batch. The platform is in demo mode for now, and the YC listing went up only recently.
Eden is one of the few startups bringing to B2C sales a principle that B2B has already figured out.
The clearest formulation of that principle is the title of a 2020 Amazon bestseller: "Selling Is Hard. Buying Is Harder."
The core argument: instead of pushing harder on sales, focus on making it easier to buy – help people choose, address their doubts, clear the obstacles. If your product genuinely is the right choice, they'll buy it.
And if it's not the right choice – don't force it. One bad purchase won't lead to renewal or a repeat visit. It'll just leave a customer who never comes back.
Eden's model maps directly onto this philosophy. Its platform isn't built to push anything – it's built to remove doubt and lower friction. That should be enough, for any merchant selling products worth buying and thinking past the next transaction.
Remark ([covered here](/review/kak-nanjat-togo-kogo-nanjat-ne-mozhesh)) is pursuing the same principle with a completely different tool. It builds AI-powered online consultants for e-commerce stores – digital twins of real experts in the relevant product category. The sports gear consultant might be the digital twin of an Olympic athlete (and literally has been). The consultant's job isn't to sell – it's to help the visitor make the right call. Ask "I'm hiking in the mountains for five days in July, I need an ultralight tent that won't leak in summer storms," and you get a real recommendation.
The results are striking. The average return rate for online retailers hovers around 20%. For Remark's clients, it drops to 0.5%. Remark has raised $26.3M, including $16M at the start of July.
The big-picture takeaway: if you're selling something, stop selling it. Start helping people buy it. That distinction sounds simple but rewards careful thought.
The more specific opportunity: build platforms that help merchants make it easier for their visitors to buy.
Almost every existing sales tool can be rethought through this lens. Eden just demonstrated that with email campaigns – one of the oldest, most familiar retail tools. Flipping the goal from "persuade" to "remove friction" turns a low-converting blast into a personalized problem-solver.
So: which other familiar sales tools could be rebuilt around the same idea?