Convert the traffic
that you've already paid for.
You've spent money to get shoppers to your site. Evo helps them buy. Its smart chat assistant talks to shoppers the way your best sales rep would — already knowing who they are, how they found you, and what they were looking at last week.
Most AI chat tools have caught up to each other
They all do automated chats, guess what the shopper wants, follow workflows, and use modern AI to write replies. The chat tools have become pretty similar. What makes Evo different isn't a fancier AI. It's that Evo knows a lot more about the person on your site than any other tool does.
The model is a commodity
The data is the moat
Six Categories of Signals —on every single chat
Cross-session identity
Returning visitors recognized across sessions and devices — even before login, even on a fresh device.
Source attribution
Specific Meta campaign, Google search term, email click, organic, direct or referrer — known at hello.
Real-time behavior
Pages viewed, scroll depth, exit intent, cart hesitation in the current session — the moments of highest intent.
Consent state
Real-time awareness of consent across channels and data types. Personalization that complies, by default.
Attribution chain
Full sequence of customer touchpoints: ad Monday, organic Wednesday, email Friday, conversion today.
Pre-session behavior
Evo reads what this customer did three days ago, last week, last month — across all prior sessions
Your inbox doesn’t always need a human. 85% tickets close themselves
Across 40 DTC brands and six months of tickets, results were graded against what a human agent would have done. The hard 15% land in your team’s queue by design.
Cart recovery is just one moment. We own all of them
A first-time visitor and a 3-year VIP ask the same product question. A standard bot replies identically to both. Evo Sales Agent reads the context layer and earns each answer.
Sizing & fit guidance
Reads size history, body measurements, return patterns. Recommends the size she will keep, not the size she clicked
Comparison browsing
Spots when she's comparing 3 products in the same category. Surfaces the right tradeoff, not a generic best-seller list
Pre-sale objections
Returns policy, shipping cost, fabric care, "will it fit my body" — answered with her geography, her tier, her past orders
Replenishment
Knows her last buy was 60 days ago, knows her usual cadence, knows the product is consumable. Reminds at the right moment
Cart recovery
The classic case — but composed for her specific session. SMS now, email at T+22, on-site nudge on return. Channel chosen, not configured
Hesitation & exit intent
Evo sees the 40-second pause on the cup selector or the cursor heading for the tab close and automatically steps in before the bounce
VIP welcome & cross-sell
Evo recognizes a 3-year VIP at hello. Skips the form. Offers a perk. Suggests the cross-sell the cohort actually buys
Post-purchase and upsell
Reads the order, surfaces the natural add-on within the return window. Reads the support graph to skip the wrong moment
From signal to outcomein three simple steps
Read the situation
Who the visitor is, how they got here, what they’re doing right now, what they did last week, and what they have agreed to — all gathered before Evo says a word.
Write the message
Not a canned reply. A one-of-a-kind message for this person, on this page, at this moment. The kind of thing your best salesperson would say if they were watching them shop.
Get the sale (or handoff)
Add the item to their cart. Hold their size. Book them a fitting. Offer a VIP perk. Whatever closes the deal — and whatever happens gets saved so your team knows what went on.
The factual answer is the same. The conversation is not
Standard Agent
The standard bot knows nothing about the visitor. It’s polite, but it has no idea that the visitor saw a Facebook ad on Tuesday and has been thinking about this for days.
The conversation becomes transactional. Visitor eventually leaves without buying. Lost sale, wasted ad spend.
Evo Sales Agent
Evo agent reads the history like on Tuesday: Meta ad "Spring 2026" was clicked at 4:12 and PDP was viewed, cart was abandoned. Organically returned today from Canadian domain, on Toronto IP.
Same factual answer — contextualized for her geography, her hesitation pattern, and the moment. The Meta acquisition cost converts to revenue.
Evo has every capability your playbook actually needs
Personalized prompts
Every nudge is written for this specific person — their source, hesitation pattern, size history. Not a segment, not a category. For the visitor.
Source-aware tone
Paid traffic and organic traffic deserve different treatment. Someone who clicked a Meta ad gets a friendly hello. A returning VIP gets a perk.
Proactive triggers
Cart hesitation, exit signals, sizing confusion, abandonment, post-purchase — over 40 moments where Evo knows to speak up.
In-widget actions
Agent adds to cart, holds a size, applies a code, books a fitting, pulls up reviews. The smart conversations get things done.
Consent-aware by default
Always works within what the shopper has agreed to. Personalization that complies by default and is iOS-proof
Shared identity graph
Your support team sees what Evo saw. Tomorrow's search results reflect today's chat. It's one brain, one memory, one shared identity graph.
The Impact of choosing one
AI for Sales, Support & Search.
The questions we always get
Chat widgets render a UI and route messages. They have no opinion about who is asking or why. Evo composes the message itself using the full Blotout context — source, history, hesitation, consent. The widget is the surface; the brain is the data layer.
No. Cart recovery is one moment. Evo Sales Agent runs every pre-purchase conversation moment: sizing, fit, comparison, replenishment, post-purchase, VIP perks, source-aware welcomes. The widget shows up wherever your best rep would step in.
Built on Blotout. The visitor lands carrying her full attribution chain — specific Meta campaign and creative, Google search term, email click, organic, referrer. Server-side. iOS-proof. No third-party stitching.
Source attribution and real-time behavior still apply — Evo knows she came from a TikTok ad, on iOS, and hesitated 40s on the cup selector. That alone changes the nudge.
Server-side, deterministic — email, phone, order, device. Same identity graph Support and Search use. Personalization survives iOS, ad blockers, and cross-device visits.
Evo Sales Agent runs inside your store. It does not replace Klaviyo or Attentive — it tells them which segment, which template, which moment, based on the live graph. Plug it in alongside what you have.
See Evo in action, running on your store
Book a 30-minute walk-through to see how Evo fits on your actual catalog, your support tickets, and your real search queries — and see your real customer graph in action