Drast AI
Your website, personalized. For every visitor. In real time.
Your website is your best sales rep. It just doesn't know it yet.
Most B2B websites convert 2% of visitors. The other 98% leave — silently, anonymously, forever.
Not because your product isn't good. Not because your traffic is wrong.
Because your website shows the same page to everyone. The enterprise CRO and the early-stage founder see the same headline.
The fintech company and the e-commerce agency read the same copy. Your highest-fit ICP account and a random visitor get the exact same experience.
That's not a website. That's a billboard.
Drast turns your website into a sales rep — one that knows who's visiting, speaks their language, and never lets a high-fit account disappear without a trace.
Features
The flow
Visitor lands → IDENTIFY → PERSONALIZE → CONVERT or PUSH to sales
🔍 Step 1 — IDENTIFY
Know exactly who is on your website — before they fill a single form.
When a visitor lands, Drast instantly resolves the company behind the visit. Industry. Size. ICP fit. Tech stack. All in real time, zero friction for the visitor.
No forms. No pop-ups. No manual work.
Your website finally has context — and context changes everything.
✏️ Step 2 — PERSONALIZE
Your website rewrites itself — for every visitor, in real time.
Once identified, Drast adapts your headlines, CTAs, and key copy to match their world. A fintech prospect sees a fintech pitch. A Series A startup sees messaging built for their stage. A mid-market ops team sees the ROI angle that matters to them.
All automatic. All before they scroll past the fold.
Your website stops being a brochure. It becomes a pitch — tailored, relevant, and built for the person reading it.
🚀 Step 3 — PUSH (when they don't convert)
High-fit accounts don't disappear. They become pipeline.
Not every visitor converts — even with personalization. When a high-fit company leaves without acting, Drast doesn't let them vanish.
It pushes the full context directly to your CRM or Slack: company name, ICP score, pages visited, time on site, intent signals. Your sales team gets a warm, enriched signal — not a cold lead pulled from thin air.
They visited your pricing page three times and didn't book a call? Your AE knows in the next five minutes.
No more guessing. No more lost pipeline. Just warm accounts, ready to work.
Use Cases
The use cases are for B2B SaaS companies that have a terrible conversion rate on their website. The biggest use case is to help them convert more people, because they spend a lot of time and money gathering people on their website. We want to increase this 2% number to a much higher number to get the fruits of the marketing activities and the growth activities.
Comments
Real-time website personalization based on visitor identity is a compelling concept — the point about B2B sites showing the same content to an enterprise CRO and an early-stage founder really resonates. Would love to understand how Drast identifies anonymous visitors: is it IP-to-company resolution, intent data, or something else? Also curious whether you support A/B testing on top of the personalized experiences so teams can measure uplift.
Personalization at this level used to require a full engineering sprint. The fact that it rewrites copy in real time without form submissions is genuinely impressive — most visitors leave before filling anything out. Curious how it handles edge cases like VPNs or small companies that aren't in your database. Congrats on the launch!
Really smart approach. The visitor identification into real-time copy personalization flow makes a lot of sense. Curious how this handles edge cases where company data is limited or the visitor doesn't match a clear ICP segment. Does it fall back to a default experience or does the AI still attempt to personalize based on behavior signals? Cool product, will be watching this one.
The 98% stat is painfully accurate. I run a consulting site and the gap between 'someone visited' and 'someone actually relevant visited' is where all the lost revenue sits. The idea of adapting copy based on visitor profile is compelling, especially for B2B where the buying personas are wildly different. How does it handle identification for first-time visitors with no prior data, is it relying on reverse IP lookup or something else?
Love what Drast is going for here but the personalization didn't quite land during the initial demo, probably needs more context about your ICP before it clicks. For example the role targeting is a flat dropdown but our ICP has a lot of nuance within the same role, I wish I could capture those as well
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Real-time website personalization based on visitor identity is a compelling concept — the point about B2B sites showing the same content to an enterprise CRO and an early-stage founder really resonates. Would love to understand how Drast identifies anonymous visitors: is it IP-to-company resolution, intent data, or something else? Also curious whether you support A/B testing on top of the personalized experiences so teams can measure uplift.
Personalization at this level used to require a full engineering sprint. The fact that it rewrites copy in real time without form submissions is genuinely impressive — most visitors leave before filling anything out. Curious how it handles edge cases like VPNs or small companies that aren't in your database. Congrats on the launch!
Really smart approach. The visitor identification into real-time copy personalization flow makes a lot of sense. Curious how this handles edge cases where company data is limited or the visitor doesn't match a clear ICP segment. Does it fall back to a default experience or does the AI still attempt to personalize based on behavior signals? Cool product, will be watching this one.
The 98% stat is painfully accurate. I run a consulting site and the gap between 'someone visited' and 'someone actually relevant visited' is where all the lost revenue sits. The idea of adapting copy based on visitor profile is compelling, especially for B2B where the buying personas are wildly different. How does it handle identification for first-time visitors with no prior data, is it relying on reverse IP lookup or something else?
Love what Drast is going for here but the personalization didn't quite land during the initial demo, probably needs more context about your ICP before it clicks. For example the role targeting is a flat dropdown but our ICP has a lot of nuance within the same role, I wish I could capture those as well
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