Case study of WOWBlogger: How to raise meeting booking to 82% and get 653% ROMI with AI agents

In an ideal world, converting a lead is simple: someone lands on your website, leaves a demo request, jumps on a call, tells you everything about their case, and signs the deal.

But we all know reality rarely follows that script.

People explore, hesitate, bounce, come back, click around again. Sometimes ten times before finally reaching out. Each visitor takes a unique path. And guiding every one of them manually? That’s overwhelming, especially for a busy sales team.

That’s exactly the challenge Anna, CMO at WowBlogger, was facing. With limited time and resources, she needed a way to support each visitor’s unique journey without letting qualified leads slip through the cracks. That’s when she turned to Dashly’s conversational AI.

Challenge: Generate more meetings from the inbound funnel without hiring more SDRs.

Solution: Set up a team of AI agents that will handle leads from the first engagement to showing up to a meeting.

Results:

About the company

WOWBlogger is a platform with a large database of influencers. It helps marketers search for the right bloggers, launch campaigns, and automatically track their performance.

Industry	MarTech
Website traffic	150k/mo
Sales cycle	2-3 months
Average price	$2 000

Before Dashly, the WOWBlogger team was stuck in chaos:

• Leads slipping away: Almost half of potential customers were lost at the sign-up stage.
• Overloaded SDRs: Reps spent most of their time on manual qualification instead of closing deals.
• Slow response times: The average lead waited hours for a reply — plenty of time to cool off.
• Low conversion: Marketing brought traffic, but only a fraction of leads made it to a meeting.

So the goal was clear: increase the number of meetings and revenue without expanding the team.

And that’s where Dashly came into picture.

What solution Dashly offered

We rolled out a system of four AI agents that work together on every inbound lead, from the first visit to a booked meeting.

AI Lead Insight — builds a complete lead profile & enriches the CRM

• What it does: Collects data from all touchpoints (website behavior, chat, messengers, email), compiles a short, actionable lead summary (interests, budget, goals) and sends it to the CRM for sales reps to use.
• How it helps: No more “blind spots” or scattered data. Managers get context on lead’s interests and goals in the CRM. It saves time on the call and allows to personalize the offer. For other AI agents, it means more context in communication with leads.  

AI Engagement Agent — starts more chats with high-intent visitors

• What it does: Analyzes pages viewed, traffic source, and visit depth to spot buying intent. Triggers a timely, personalized message that feels like a live SDR, then routes the conversation toward qualification.
• How it helps: Fewer missed opportunities. Visitors who show interest are engaged automatically with a personalized message that is more likely to spark a conversation than a cookie-cutter triggered message.

AI Qualifier & Support Agent — qualifies leads, detects MQLs, books meetings

• What it does: Asks qualifying questions (role, use case, budget, goals), checks them against MQL criteria, offers MQLs to book a meeting, non-MQLS are guided down the self-serve funnel. Handles FAQs and loops in a human only for complex issues. The more AI learns about the company, the more questions it can handle without humans.
• How it helps: Sales team workload is alleviated significantly. Routine qualification and basic support are automated, so reps can focus on closing deals.

AI Nurturing Agent — books meetings and boosts show-up rate

• What it does: Syncs with calendars, offers best times, and sends human-like reminders via email, WhatsApp (SMS or Telegram).
• How it helps: Fewer no-shows and drop-offs between “interested” and “met with sales.”

End result: WOWBlogger’s team receives a calendar invite with a qualified lead and a complete context pack, getting ready for a call in 2 mins.

Learned more about leads with AI Lead Insight Agent

From the very first website visit until the moment a lead leaves a call request, the AI Lead Insight Agent is at work. It gathers data across touchpoints, analyzes behavior, and — once the lead books a call — passes all the key insights directly to sales.

How it helps WOWBlogger:

• Sales conversations are based on real data, not guesswork.
• Reps don’t waste time preparing. The full user context in a few abstracts is ready in the CRM.
• Based on user data, the team assigns leads to a qualified manager and prepares case studies for their specific industry/needs.

➡️ Instead of dragging a lead through the same qualification process on the call, a manager now has a quick summary of interest and tasks they need to solve.

Started a conversation with AI Engagement Agent

The AI Engagement Agent steps in the moment a visitor shows intent but hasn’t yet booked a call. Its task is simple: catch the lead at the right time and spark a conversation that guides them to the next step.

Think of a visitor who skips the “Book a demo” button on the homepage and instead:

• dives into blog posts,
• explores the tools section,
• browses the dashboard,
• or even starts filling out a form but drops off.

That’s when the agent triggers a personalized message, starting a natural chat that feels like an SDR reaching out in real time. 

Together with WOWBlogger, we tested several entry points beyond the main demo button:

• a fullscreen quiz,
• a chatbot in the corner,
• and AI-driven chats across the site.

The results were surprising. 

66% of MQLs came from the chat. Meaning, we got twice as many MQLs from the chat compared to the website form.

Scenarios we launched with WOWBlogger

1. WhatsApp follow-up after form submission
   If a lead left their contacts but skipped qualification questions, the agent follows up via WhatsApp. Depending on the answers:
   
   • MQL → invites them to book a demo,
   • not MQL → adds them to the registration funnel.
     
2. Chat on return visits
   If someone comes back without booking, qualifying, or purchasing, the agent opens a chat offering a meeting with sales.
   
3. Email reminder to book a meeting
   For qualified leads who haven’t scheduled yet, the agent sends a personalized email with a direct invite to call.
   
4. Email to non-MQLs
   If the lead isn’t ready for a meeting, the agent still nurtures the contact—sending a soft email to register and stay in touch.

How it helps the WOWBlogger team:

• Captures leads that would otherwise slip away.
• Opens conversations with personalized messages with higher chance for conversion.
• Turns passive browsing into active engagement.

➡️ With the Engagement Agent, WOWBlogger no longer relies on visitors clicking a single demo button. Conversations start wherever the lead is most ready.

Provided assistance and booked meetings with MQLs with AI Qualifier & Support Agent

Once a visitor starts chatting — whether on their own or via the Engagement Agent — the AI Qualifier & Support Agent steps in. Its mission: identify the right leads and book them directly for a demo.

Here’s how it works in practice:

• When a lead comes with questions
  The agent first provides clear answers (product details, use cases, pricing basics), then smoothly moves into qualification before offering a meeting.
  
• When a lead shows interest in a demo
  The agent asks a few smart questions to determine:
  
  • MQL or not (role, company size, budget),
  • Tier A / B / C (segmentation by budget).

From there, leads are automatically scheduled with the right sales manager:

• Tier A (high budget) → routed to senior managers handling enterprise deals.
• Tier B (mid budget) → routed to account execs for standard deals.
• Tier C (non-MQLs) → offered to sign up on their own.

This way, every qualified lead instantly books a slot with the right rep. Calendly helps ensure that new meetings are distributed evenly so no manager is overloaded.

On average, 58% of all MQLs come through conversations with AI.

On top of that, the agent doubles as a support assistant. It learns from WOWBlogger’s site content in minutes (scraping key pages) and can be enriched with SDR scripts or knowledge base articles. As a result, it handles FAQs autonomously while collecting qualification data.

Here’s how the AI agent supports users:

How it helped WOWBlogger team:

• Leads get answers immediately instead of waiting hours.
• Qualification is automated, ensuring only valuable contacts reach sales.
• Meetings are booked with the right manager from the start.

➡️ AI agent helped raise conversion to a booked meeting to 82%.

Raised show-ups to demo with AI Nurturing Agent

Once a meeting was booked, the AI Nurturing Agent made sure leads actually showed up. It sent a series of personalized, human-like emails that felt like messages from a real manager.

The agent works across email, WhatsApp (SMS, and Telegram), so leads always get reminders on the channel most convenient for them.

➡️ With AI cross-channel nurturing, 60–90% of leads showed up to a meeting. And the process involved no human effort.

How AI agents powered up WOWBlogger’s team

Dashly’s AI agents didn’t replace Anna’s sales team, they empowered it. By taking over the repetitive, time-consuming tasks, AI gave managers the space to focus on what they do best: building relationships and closing deals.

Human team only	Human + AI agents team
SDRs spend hours on manual qualification and FAQs	SDRs focus only on valuable, qualified leads
Sales managers prepare for each call from scratch	Sales managers get full lead profiles instantly
Many visitors slip away without ever talking to sales	Engagement Agent starts conversations at the right time
Managers manually chase leads to confirm meetings	Nurturing Agent ensures 90% show-up rate with reminders
Team capacity limited by headcount	Team scales without hiring more SDRs

With AI, WOWBlogger’s team became more productive, efficient, and focused without losing the human touch where it matters most.

Key results

Together with Dashly, Anna managed to:

Raise conversions in the inbound funnel

Free up the team from routine tasks, so they can focus on closing deals

Metric	Manual processing	AI SDR	Change
Time per lead	45 min	0.25 min	-99.4%
Total hours for leads/month	262.5 hrs	1.46 hrs	-261 hrs
First response time	4 hrs	1 min	99.6% faster
FTE usage	1.64 FTE	0.01 FTE	1.63 FTEs freed