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AB Tasty
See how AB Tasty captures conversation intelligence from 500+ accounts with Rose.
3.5%
Engagement rate (vs 1% traditional chatbots)
10%
Total conversions attributed to Rose
500+
Identified accounts conversing monthly
The Challenge
Complex products create navigation chaos - and AB Tasty had no visibility into what buyers actually cared about.
AB Tasty offers a sophisticated platform: Web Experimentation, Feature Experimentation, Personalization, Recommendations. Each with dozens of features, integrations, and use cases.
The problem: Visitors got lost.
Two critical gaps:
1. Navigation and exploration
Visitors couldn't find answers without hunting through:
- 100+ feature pages
- 50+ integration docs
- Dozens of use cases and case studies
Generic search and menus failed. Visitors bounced before finding what they needed.
2. Limited buyer intelligence
AB Tasty used Clearbit Reveal to identify companies visiting the site. But that only answered "who visited" - not "what they cared about."
Without conversation data:
- Product team didn't know which features buyers asked about most
- Marketing couldn't prioritize content
- Sales had no context when reaching out to identified accounts
They needed a system that helped visitors navigate AND captured what they were actually asking about.
The Solution
An AI agent that guides exploration and captures buyer intelligence - not just answers questions.
Rose deployed a multi-agent system on AB Tasty's website, integrating directly with their Clearbit Reveal setup.
Smart Engagement
Deployed Smart Bar + AI-generated FAQ sections throughout the site.
Result: 3.5% engagement rate vs. 0% (no chatbot)
Conversational Navigation
Trained on AB Tasty's complete knowledge:
- Feature documentation across all product lines
- Industry-specific use cases
- Competitive positioning
Acted as an intelligent navigator:
- "Do you integrate with Google Analytics?" → Instant answer + link to GA4 integration doc
- "How does server-side testing work?" → Explanation + guided walkthrough
- "I’m running a jewelry shop" → Relevant case studies surfaced
Result: Visitors found answers in conversation instead of hunting through site architecture.
Conversation Intelligence Layer
Integrated with Clearbit Reveal:
When identified accounts engaged:
- Rose captured conversation topics and feature interests
- Pushed data to Salesforce & Slack
Analytics dashboard showed:
- Most asked questions by topic
- Recurring themes
- Feature interest distribution
- Pain points mentioned (statistical significance, test duration, integration complexity)
Example: Clearbit identifies "RetailCorp" visiting site. Rose conversation shows they asked about:
- Product recommendations for e-commerce
- Shopify integration
- A/B testing checkout flows
- Sample size calculations
Result: 200+ identified accounts with conversation intelligence per month - not just pageviews, but actual intent data.
Intelligent Pre-Qualification
While helping visitors navigate, the agent naturally captured:
- Monthly traffic (critical for pricing)
- Current tools and integrations
- Primary use cases (testing vs. personalization vs. both)
- Technical requirements (client-side, server-side, mobile)
Result: Qualified leads with rich context before sales contact.
Conversion at Peak Intent
Supervisor Agent detected high intent:
- Pricing questions + traffic volume shared
- Technical depth (API questions, SDK requirements)
- ROI/business impact questions
- Competitor comparisons
When threshold hit → offered demo booking or sample size calculator
Result: 10% of conversions attributed to Rose.
What's Next
From conversation capture to automated action
Outreach Agent
Takes the Clearbit + Rose combination further:
When high-intent identified accounts don't convert → finds decision-makers → sends personalized outreach based on conversation history.
Example: Clearbit identifies "E-commerceCo" (250 employees, $50M revenue). Rose conversation shows interest in checkout optimization + Shopify integration. Doesn't book demo.
Outreach Agent:
- Finds Head of E-commerce on LinkedIn
- Sends: "I saw your team researching checkout optimization with Shopify. Here's how a similar $50M e-commerce company increased checkout conversion by 18%..."
The Vision:
- Website Agent captures conversations + intent
- Clearbit Reveal identifies companies
- Lead Intelligence structures conversation data
- Outreach Agent acts on identified accounts automatically
All powered by conversation intelligence - knowing not just who visited, but what they care about.
We'd see accounts from our ICP list visiting the site through Clearbit Reveal. But we had no idea what they were interested in. Were they researching A/B testing? Personalization? Server-side experimentation? We couldn't see their intent until they filled a form - which most never did.
Anthony Brebion
GTM & AI Engineer
AB Tasty
See how AB Tasty captures conversation intelligence from 500+ accounts with Rose.
3.5%
Engagement rate (vs 1% traditional chatbots)
10%
Total conversions attributed to Rose
500+
Identified accounts conversing monthly
The Challenge
Complex products create navigation chaos - and AB Tasty had no visibility into what buyers actually cared about.
AB Tasty offers a sophisticated platform: Web Experimentation, Feature Experimentation, Personalization, Recommendations. Each with dozens of features, integrations, and use cases.
The problem: Visitors got lost.
Two critical gaps:
1. Navigation and exploration
Visitors couldn't find answers without hunting through:
- 100+ feature pages
- 50+ integration docs
- Dozens of use cases and case studies
Generic search and menus failed. Visitors bounced before finding what they needed.
2. Limited buyer intelligence
AB Tasty used Clearbit Reveal to identify companies visiting the site. But that only answered "who visited" - not "what they cared about."
Without conversation data:
- Product team didn't know which features buyers asked about most
- Marketing couldn't prioritize content
- Sales had no context when reaching out to identified accounts
They needed a system that helped visitors navigate AND captured what they were actually asking about.
The Solution
An AI agent that guides exploration and captures buyer intelligence - not just answers questions.
Rose deployed a multi-agent system on AB Tasty's website, integrating directly with their Clearbit Reveal setup.
Smart Engagement
Deployed Smart Bar + AI-generated FAQ sections throughout the site.
Result: 3.5% engagement rate vs. 0% (no chatbot)
Conversational Navigation
Trained on AB Tasty's complete knowledge:
- Feature documentation across all product lines
- Industry-specific use cases
- Competitive positioning
Acted as an intelligent navigator:
- "Do you integrate with Google Analytics?" → Instant answer + link to GA4 integration doc
- "How does server-side testing work?" → Explanation + guided walkthrough
- "I’m running a jewelry shop" → Relevant case studies surfaced
Result: Visitors found answers in conversation instead of hunting through site architecture.
Conversation Intelligence Layer
Integrated with Clearbit Reveal:
When identified accounts engaged:
- Rose captured conversation topics and feature interests
- Pushed data to Salesforce & Slack
Analytics dashboard showed:
- Most asked questions by topic
- Recurring themes
- Feature interest distribution
- Pain points mentioned (statistical significance, test duration, integration complexity)
Example: Clearbit identifies "RetailCorp" visiting site. Rose conversation shows they asked about:
- Product recommendations for e-commerce
- Shopify integration
- A/B testing checkout flows
- Sample size calculations
Result: 200+ identified accounts with conversation intelligence per month - not just pageviews, but actual intent data.
Intelligent Pre-Qualification
While helping visitors navigate, the agent naturally captured:
- Monthly traffic (critical for pricing)
- Current tools and integrations
- Primary use cases (testing vs. personalization vs. both)
- Technical requirements (client-side, server-side, mobile)
Result: Qualified leads with rich context before sales contact.
Conversion at Peak Intent
Supervisor Agent detected high intent:
- Pricing questions + traffic volume shared
- Technical depth (API questions, SDK requirements)
- ROI/business impact questions
- Competitor comparisons
When threshold hit → offered demo booking or sample size calculator
Result: 10% of conversions attributed to Rose.
What's Next
From conversation capture to automated action
Outreach Agent
Takes the Clearbit + Rose combination further:
When high-intent identified accounts don't convert → finds decision-makers → sends personalized outreach based on conversation history.
Example: Clearbit identifies "E-commerceCo" (250 employees, $50M revenue). Rose conversation shows interest in checkout optimization + Shopify integration. Doesn't book demo.
Outreach Agent:
- Finds Head of E-commerce on LinkedIn
- Sends: "I saw your team researching checkout optimization with Shopify. Here's how a similar $50M e-commerce company increased checkout conversion by 18%..."
The Vision:
- Website Agent captures conversations + intent
- Clearbit Reveal identifies companies
- Lead Intelligence structures conversation data
- Outreach Agent acts on identified accounts automatically
All powered by conversation intelligence - knowing not just who visited, but what they care about.
We'd see accounts from our ICP list visiting the site through Clearbit Reveal. But we had no idea what they were interested in. Were they researching A/B testing? Personalization? Server-side experimentation? We couldn't see their intent until they filled a form - which most never did.
Anthony Brebion
GTM & AI Engineer
Make every visit count.
Book a demo
Book a demo
Sitemap
Contact
Copyright © 2026 Rose. All rights reserved.
Bulldozer
See how Bulldozer achieves 30% more discovery calls for their B2B Marketing Agency.
10%
Engagement rate
+30%
Meetings booked
4x
Faster to meeting booked
+375%
Conversion uplift for engagers
The Challenge
Bulldozer helps B2B companies turn their website into a growth engine. Their own was next in line.
Bulldozer helps B2B companies build and execute growth strategies. Their buyers are sophisticated: CMOs, VPs of Growth, RevOps leaders. They've seen every chatbot, every popup, every gated content tactic and they're immune to all of it.
The paradox: Bulldozer applies data-driven growth tactics for clients every day. Their own website was still static.
Three problems compounded:
1. Visitors researched silently, then disappeared
Bulldozer's offer - traction tests, GTM strategy, AI-powered growth - isn't self-explanatory. Visitors needed to understand the methodology before booking a call. Without a way to ask questions, most left without ever revealing what they were looking for.
2. The path from first visit to meeting was too long
From first website visit to a booked demo: 9 hours and 22 minutes on average. Visitors would browse, leave, come back days later, browse again. The funnel leaked at every return visit.
3. No visibility into what visitors actually cared about
Bulldozer could see traffic in analytics. They couldn't see intent. Were visitors interested in traction tests? AI implementation? B2B content strategy? Without that signal, follow-up was generic and outreach was guesswork.
The test they designed: One site. One agent. 90 days. No other changes during the window. A clean A/B test to measure the real impact - the kind of rigorous setup they'd demand from any growth experiment.
The Solution
An AI agent trained on Bulldozer's methodology, deployed as a growth experiment with full measurement rigor.
Rose deployed the Website Agent on Bulldozer's site with Smart Bar as the primary form factor, later adding an embedded version directly in the hero section.
Smart Engagement
Deployed Smart Bar across all pages, then hero embed on the homepage for additional reach.
- Smart Bar: 7.34% engagement rate
- Hero embed: 10% engagement rate
Result: 542 conversations vs. 0 (no chatbot)
Sales Cycle Compression
The most striking outcome wasn't engagement, it was speed.
Before Rose:
- Average time from first website visit to booked demo: 9 hours 22 minutes
- Multiple sessions, multiple return visits, long consideration window
With Rose:
- Average time from first website visit to booked demo: 2 hours 43 minutes
- Visitors got their questions answered in one session and moved to action
Result: 70% reduction in sales cycle length. Same buyer, same offer but different first interaction.
Account Intelligence for Targeted Outbound
While answering questions, the agent identified and captured intent data from the accounts behind the conversations.
131 accounts identified with:
- Company size and segment
- Funnel stage (curious → interested → conversion initiated → conversion completed)
- Intent signals from conversation topics (pricing, ROI, methodology, specific use cases)
Example: AXA -25 messages, Engaged status, Conversion initiated. Rose captured exactly what their team was evaluating before any sales contact.
Result: Outbound shifted from cold list-based prospecting to laser-focused outreach grounded in actual conversation intent.
Conversion at Peak Intent
A Demo Supervisor Agent analyzed each conversation in real-time:
- ROI and business impact questions
- Pricing and budget questions
- Methodology depth (signals of serious evaluation)
- Timeline or urgency mentions
When threshold hit → offered demo booking directly in conversation.
Result: 18 meetings booked in 90 days, including enterprise accounts like AXA. 10-15% of all meetings booked were influenced by Rose.
When a visitor talks to Rose, they're 375% more likely to convert than a visitor who saw the agent but didn't engage. And visitors who talk to the agent buy 4.75x more often.
Jordan Chenevier
CEO & Co-founder, Bulldozer
Make every visit count.
Book a demo
Book a demo
Sitemap
Contact
Copyright © 2026 Rose. All rights reserved.
