SM
Sarah MillerIntent · High
sarah@acmesoft.com
Live Lead Profile
- Pages/pricing × 3
- SourceLinkedIn Ads
- RoleCMO
- IndustrySaaS · 100 empl.
- Budget$50k+
- CRM stageMQL
- Last topicHubSpot integration
Updated 3 ms ago · 7 signals fed into the next reply
New:Data-Driven AI Inbound Revenue Agents
Turn inbound traffic into qualified pipeline, 24/7
Dashly is the conversational marketing platform built around 4 AI agents. It's a full AI SDR stack powered by a native customer data platform. Engage, qualify, and book every inbound lead 24/7, and double your pipeline without hiring a single SDR.
Trusted by 70+ inbound-first teams
The broken funnel
50–70% of inbound leads are lost between the first click and a booked meeting
The typical B2B inbound funnel bleeds pipeline because qualification happens too late, response times run into hours, and managers have no context on the lead in front of them.
Old inbound funnel
capture → queue → handoff
Marketing
SDR team
Sales
Marketing campaigns
Website traffic + messengers
Lead capture (form)
SDR queue ⏱ 6+ h
Qualified leads (MQL)
Account executive (demo)
New opportunity
Deal
- 01
Slow first response
Median first-response time is 5 hours, and the inbox SLA stretches past 6. The lead goes cold before anyone replies.
- 02
Inconsistent qualification
Marketing and sales bounce responsibility for bad leads. Scoring criteria drift across reps, so the same lead gets a different verdict twice.
- 03
The Account Executive starts cold
Account Executives run discovery without knowing what the lead visited, what the CRM already says, or what was discussed in chat.
- 04
Nobody followed up in time
Leads stop answering emails and calls because the chase started too late, or stopped too early. Show-up rate drops with every missed nudge.
The team
3 AI agents and 2 scenarios cover the entire inbound journey
Each piece has a single job. Together they form one customer engagement platform that replaces a 5-person inbound SDR pod. It never sleeps.
ScenarioVisitor → dialog
Engagement scenarios
Trigger personalized chat messages based on on-site behavior. Turns passive traffic into conversations. 0.5–4% of visitors start a dialog (up to 6% with the right triggers), and 66% of MQLs come through chat.
Explore engagement
AI agentDialog → MQL
AI Qualifier Agent
Natural-language qualifier that asks your ICP questions, identifies MQLs in seconds, and hands off to Support or Booking. 99.6% faster than a human SDR.
See Qualifier
AI agentQuestions → answers
AI Support Agent
Trained on your knowledge base. Answers product and pricing questions mid-qualification, then hands the dialog back. Closes 40–80% of inbound questions.
See Support
AI agentMQL → meeting booked
AI Booking Agent
Offers calendar slots inside the dialog and books the meeting while intent is highest. 82% conversion from MQL to confirmed meeting.
See Booking
ScenarioBooking → show-up
Nurturing scenarios
Multi-channel reminders (email + WhatsApp + Telegram) after booking. Takes show-up rate to 60–90%. No manager time required.
Explore nurturing
Runs under every piece above
CDP & Lead Insights: the data foundation
Every visitor's behavior, CRM data, and conversation history unified into one Lead Profile. Feeds every agent and scenario above real-time context, so the lead never repeats itself and the manager never starts cold.
See Lead ProfileLive demo
See an inbound visitor turn into a qualified meeting
One conversation, three agents handing off live. Engagement starts the chat, the Qualifier captures ICP fit, the Support agent answers a side question, and the Booking agent locks the slot — every answer streams into the Lead Profile.
Lead Profile fills as the conversation progresses
SM
Sarah MillerONLINE
sarah@acmesoft.com+1 415 555 0177
Profiling…
Properties
For AI agentsSummary
Waiting for the conversation to start…
Suggested approach
Hot lead, demo booked. Skip warm-up, send AE prep brief now.
Events
No events yet
Multi-channel + cross-channel
Every channel. One conversation.
The lead picks the channel, or the agent does. Either way it's the same dialog, the same Lead Profile, the same thread. No re-introductions when the channel changes.
- Every inbound channel, nativelyWebsite chat, WhatsApp, Telegram, Instagram DM, Facebook Messenger, Viber, email. The lead writes where it's natural. The agent answers in the same channel.
- Agent-initiated handoff across channelsOn-site visitor about to bounce? The agent can invite them to continue in WhatsApp with one tap. They open the messenger, the agent recognizes them and picks up right where the on-site dialog left off.
- One Lead Profile that travels with the leadStart on Instagram, move to WhatsApp, close on a call. It's one thread in the agent's memory and in your team's unified inbox. Zero re-asking, zero dropped context.
Why our agents work where others don't
Data-Driven means our agents start the conversation already knowing your visitors
Every reply is built from a live profile: behavior, CRM state, and conversation history. Watch how a single bubble pulls from real signals — not from a generic prompt.
Dashly agent11:01
Sarah, looks like you came back to /pricing for the third time and asked about the HubSpot integration last week. Want a 2-min ROI walkthrough for a 100-seat SaaS team?
Pulled from the Lead Profile
- Pages · /pricing × 3
- Last topic · HubSpot integration
- Industry · SaaS · 100 empl.
Without this profile, the same visitor gets a cold opener. With it, every agent skips the warm-up and goes straight to value.
82%MQL-to-meeting conversion
66%of MQLs come through chat
653%ROMI on AI agent deployment
99.6%faster first response vs human SDR
Proof
Real funnels, real numbers
Two industries, two inbound problems, two full deployments of Dashly agents.
653%
ROMI in one quarter
WOWInfluencer, MarTech SaaS with 150K monthly traffic. 82% of MQLs convert to a confirmed meeting, 66% of MQLs come through chat (2× the form rate), and the inbound team freed 1.6 FTE.
×2
Lead-to-MQL conversion (38% → 76%)
European real estate platform, 220K monthly traffic. Lead-to-MQL doubled from 38% to 76%, MQL-to-SQL more than doubled (20% to 44%), and AI agents now drive 29% of all consultation requests.
Analytics
End-to-end analytics shows Agent vs Form effectiveness on-site
AI agent scenario generates 72.5% of total pipeline, while processing 81% of all contacts.
72.5%
total pipeline — from AI agent5 623 104 out of 7 755 546
72%
meeting conversion for qualified AI leadsbest among all scenarios
81%
of all contacts processed by AI agent381 out of 470 contacts
Pipeline by scenario
CONVERSIONS BY SCENARIO
(from contact)
| Scenario | Contact | Qual% | Qualified | MQL /Qual % | MQL | Meet booked/ MQL % | Meetbooked | Meetheld % | Meetheld | Paid /Meet % | Paid | Lost | Pipeline |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AI agentAI | 381 | 70% | 268 | 43% | 116 | 55% | 64 | 72% | 46 | 33% | 15 | 20 | 5 623 104 |
| form + quiz | 66 | 100% | 66 | 79% | 52 | 67% | 35 | 89% | 31 | 16% | 5 | 8 | 1 516 488 |
| form only | 20 | 65% | 13 | 69% | 9 | 22% | 2 | 100% | 2 | 0% | 0 | 3 | 30 090 |
| form + AI | 3 | 100% | 3 | 67% | 2 | 100% | 2 | 100% | 2 | 50% | 1 | 0 | 585 864 |
| Grand total | 470 | 74% | 350 | 51% | 179 | 58% | 103 | 79% | 81 | 26% | 21 | 31 | 7 755 546 |
Fits your stack
Dashly plugs into the revenue operations stack your team already runs
CRM
HubSpot- PPipedrive
Salesforce- aAMO CRM
Calendars
Google Calendar
Calendly
Cal.com
Messengers
WhatsApp
Telegram- SMS
Analytics
GA4
Mixpanel- Custom webhooks
CMO, WOWInfluencer
MarTech SaaS · Dashly customer
Dashly turns our inbound traffic into real meetings and real deals. The AI agents work 24/7 and only pass qualified leads to our team, so sales finally focuses on closing.
Every message an agent sends is built from your CDP: real behavior on your site, real CRM data, real past conversations. Not a generic LLM guess. That's what lets our agents hit 82% MQL-to-meeting instead of the ~20% a generic chatbot gets.
Most teams ship within 2–5 days. You connect your CRM, upload your knowledge base, define your qualification criteria, and the agents are live. No engineering required.
Native integrations with HubSpot, Pipedrive, Salesforce, and AMO CRM. Custom integrations via open API and webhooks.
All four agents run 24/7. Night-time leads are engaged, qualified, and offered a meeting slot the same way they would be at noon.
B2B SaaS (MarTech, Sales Tech, HR Tech) and Real Estate teams with 50K+ monthly traffic, 1-month+ sales cycle, $500+ ACV, and an inbound motion. If you have SDRs today, we usually let you redeploy 1.5+ FTEs.
SaaS subscription based on traffic volume, active leads, which agents you deploy, and integration depth. Mid-market teams typically start at $2,500/mo with 2–5 month payback.