Inbound demand outpaced the team’s bandwidth

SaaStr didn’t have an inbound problem—they had a capacity problem.

With 600,000+ website visits, inbound demand quickly outpaced the team’s ability to respond. Manual processes capped personalized outreach at just 3%, follow-up took 2-3 days, and every meeting required multiple handoffs between systems and people. As inbound demand grew, so did the risk of missed opportunities, especially outside business hours.

Enter Amelia AI, an intelligent, multi-modal AI SDR Agent

To remove these bottlenecks, SaaStr hired Piper the AI SDR Agent, and created Amelia AI, a custom AI SDR agent modeled after the likeness of their Chief AI Officer, Amelia Lerutte.

When someone lands on saastr.com and begins browsing, Amelia AI identifies and engages visitors instantly through text, voice, and video, continuing conversations seamlessly across both SaaStr’s website and buyer’s email inboxes. With deep data integrations across the GTM tech stack, Amelia AI knows who the buyer is, the entire context of their account, what pages they’re viewing, and whether the buyer or their colleagues have engaged with SaaStr before.

Before Qualified, SaaStr’s inbound process looked like this:

• Prospect fills out a form
• Lead is round-robined to a sales rep
• Rep responds hours (or days) later
• Back-and-forth to schedule a meeting
• First 10 minutes of the meeting spent on discovery

Now, the flow is instant:

• Prospect visits the website
• Amelia AI identifies and engages immediately
• Qualifies intent in real time
• Books the meeting
• Delivers a complete buyer brief directly to sales in Slack, where reps can ask Amelia AI questions and get deeper context before the call.

Since launch, Amelia AI has engaged tens of thousands of inbound sessions and qualified over a thousand prospects—capturing demand that previously would have gone untouched during peak traffic and off-hours.

With full context and GTM data, Amelia AI helps close revenue

In one recent example, a prospect booked a sponsorship call through Amelia AI. Before the meeting, she surfaced that the prospect’s CEO had also been on the site the day before reviewing speaking opportunities.

Armed with that insight, the SaaStr team opened the meeting with a broader recommendation, proposing a package that included both sponsorship and a speaking slot.

It was context they would never have had before, and it directly shaped the deal.

Amelia AI fully owns inbound engagement end-to-end

Unlike traditional chatbots, Amelia AI was designed to fully own inbound engagement end-to-end:

• Greet visitors in real time using video, voice, or text
• Answer questions about events, sponsorships, and partnerships
• Guide visitors through pages, slides, and case studies
• Qualify intent using contextual signals
• Book meetings instantly 
• Follow up automatically through email

This multi-modal experience gave SaaStr a more human, on-brand way to engage inbound without increasing headcount.

The Results? More pipeline, fewer andoffs

With Piper powering Amelia AI, SaaStr replaced a manual inbound motion with an agent-driven model built for scale.

In just five months:

• $2.5M in inbound pipeline was generated
• 130+ meetings were booked automatically
• Inbound closed-won revenue increased 2.5X, growing from ~30% to the majority of closed deals
• Ameila AI handled inbound conversations 24/7, without delays or drop-offs