---
title: "Aurasell demos AI prospecting agent that uses first-party CRM data"
slug: "aurasell-demos-ai-prospecting-agent-that-uses-first-party-crm-data"
date: "2026-10-27"
category: "MarTech"
author: "Chloe Duval"
correspondent: "Chloe Duval"
correspondentRole: "GTM & Outbound Investigative Reporter"
readingTimeMinutes: 7
tags: ["MarTech","News"]
originalSourceUrl: "https://www.saastr.com/half-your-crm-is-wrong-ai-prospecting-in-a-world-of-49-exec-turnover/"
canonicalUrl: "https://aurav.ae/aurasell-demos-ai-prospecting-agent-that-uses-first-party-crm-data"
publisher: "Aura-V Intelligence (aurav.ae)"
---

# Aurasell demos AI prospecting agent that uses first-party CRM data

> At SaaStr AI Day Aurasell showed an AI SDR that pulls details from its own CRM history, meeting transcripts and internal chats to craft personalized outreach.

## Key Takeaways (TL;DR)

- The agent replaces generic third-party data with internal CRM signals to personalize emails.
- It builds a dynamic, per-contact plan that replans after each engagement signal.
- The SDR team books 14-16 meetings a week, mostly via calls and LinkedIn rather than email.

At SaaStr AI Day, Jason and Amelia called out a core weakness in most AI prospecting tools: they rely almost entirely on third-party data, so many agents end up sending identical emails to the same prospects.

In the following session, Steve (CMO) and Richa (head of product) from Aurasell demonstrated a prospecting agent that also uses first-party data—CRM history, past meeting transcripts and internal conversations. Amelia had previewed the tool the week before and plans to benchmark it against the agents SaaStr already runs.

**An AI SDR Steve asked about the Commanders vs. the 49ers**
Steve opened with the kind of outbound most recipients see daily: bold-text emails with emojis that are clearly not personalized. He recounted asking an AI SDR which team would win the Commanders vs. 49ers game; the bot answered even though the question was unrelated to the sale, because the agent was built to keep the prospect talking. Aurasell decided not to ship another agent that behaved that way after months of research into why AI outbound can be so poor.

**The first meeting came from a prospect’s home fish tank**
The agent booked a meeting with a prospect named Chris. The subject line asked whether his fish tank was still thriving, and the body opened with a line about the tank crew. No one on the SDR team had mentioned a fish tank. The detail was found in the CRM: a year-old meeting transcript showed Chris had talked about his large home fish tank. The agent used that as the opening, a detail unavailable from any third-party vendor.

**A personal hook needs a problem attached**
Steve emphasized that a personal detail alone does not secure a meeting. “Hey Steve, I saw you like golf” gets a shrug. The hook must lead into a problem the prospect actually has. Recency also matters; a signal from six months ago is usually weaker than one from last week.

He listed situations where first-party data does most of the work:

- **Startups out of stealth.** Founders have dozens of feedback meetings early on; a year later those contacts become the best list to revisit.
- **Enterprises launching a new product.** Years of past CRM conversations hold context that can open doors for the new offering.

Steve’s view is that most outbound needs both first-party and third-party signals, chosen based on the campaign goal.

**Each contact gets a different number of steps, replanned after every signal**
Richa showed the product live. Unlike a standard sequence tool, the agent builds a plan per contact and changes it as new signals arrive. The demo flow:

1. **Prompt for contacts.** Example: VPs and CROs at large transportation and logistics firms in Washington state. The agent searches an 850 million contact database and builds a qualified list.
2. **A plan per contact.** One prospect received nine steps, another seven, based on prior contact history and recent LinkedIn activity.
3. **Human review.** Reps see each plan, can coach the agent, and confirm before any send.
4. **Replan on signals.** In the demo, a prospect named Marcus opened the first follow-up 48 seconds after receipt. The agent logged a medium signal of interest and rewrote his next steps. Email clicks, LinkedIn replies, and account-level changes such as new leadership all trigger a replan.
5. **Ongoing direction.** Reps can request more prospects, clone the campaign for directors of operations at freight forwarders in Texas, or add instructions like “only reach out during reasonable hours in their time zone.”

When a contact opens three emails and clicks links but does not reply, the agent switches the next step from another email or LinkedIn touch to a phone call. Richa described this as working toward one goal—a booked meeting—using whatever channel and data are available.

**Job changes become a signal instead of a dead contact**
The livestream highlighted high turnover in B2B GTM roles. The agent tracks each contact’s current profile; if someone moves, it reaches out at the new company with the new email address and also finds the right person at the former company. When a LinkedIn profile is stale, the agent searches for news or press about the person and uses that as a hook.

**Deliverability: multiple email vendors, warmed secondary mailboxes**
Richa said Aurasell sources emails from multiple vendors and verifies them before sending. Users connect a primary Gmail or Outlook mailbox and can add secondary mailboxes. A built-in SendGrid setup warms new mailboxes and spreads sending volume across them.

**Richa’s recruiting agent booked 20 meetings while she was on vacation**
Aurasell also uses the agent for recruiting. A few weeks before the session, Richa launched a recruiting agent to source product managers in India and then left on vacation. While away, the agent messaged candidates on LinkedIn, answered questions in their time zones—sometimes within two minutes—and booked them onto her calendar. She returned three days later to find 20 meetings booked.

**14 to 16 meetings a week: 60 % phone, 40 % LinkedIn, almost no email**
Steve runs marketing and manages the SDRs; Jason, Aurasell’s CEO, runs sales. Their SDR team books 14-16 meetings weekly. About 60 % come from cold calls through a power dialer, with humans on the phone. Most of the rest come from LinkedIn. Email produces the occasional meeting. Their buyers are sales leaders who receive high email volumes and rarely reply.

Steve is careful with email because each send carries risk. Marketing overused email for two decades because it was cheap; an unsubscribe removes the contact permanently, so he only sends when the message is genuinely useful.

**SDR candidates write a prospect email without AI**
Steve tests SDR candidates on skills agents lack. Candidates go to Aurasell’s website without AI assistance and write a prospecting email. The exercise shows how quickly they can learn the product and whether they can craft outreach by hand. Steve believes human creativity is often missing now and that it lets a team beat competitors using the same tools.

Amelia noted that the CRO of Databricks told her the same thing in an interview for *The Agents* coming out next week. Databricks has plenty of AI, yet the CRO still screens SDRs on cold calling and in-person meetings. Agents handle account research, automated email and timed follow-up; they do not make phone calls. Many new SDRs grew up with AI, so these skills are becoming harder to find.

Steve added that a sales leader replied to one of their reps that morning praising the pitch and call control; if a rep can’t pitch a sales leader well, they’re unlikely to succeed.

**A few more learnings from the session:**

- One AI SDR had a full back-and-forth with itself in Steve’s inbox while he never replied; agents set to keep pushing until a goal is hit need a hard stop.
- A first-party signal from a past conversation booked a meeting that third-party data couldn’t have. For companies with years of CRM history, past meetings are a sourcing channel.
- When opens and clicks don’t produce a reply, switching the next step to a call is something reps should do anyway; the agent makes the switch automatically.
- Amelia pointed out that agents work 24/7 and won’t stop on their own. Give a prospecting agent a goal and it will use every channel it has to reach it.

Our read: Aurasell’s focus on internal CRM signals shows how first-party data can produce highly relevant outreach that third-party sources miss, but the system still relies on human oversight and a multi-channel approach to convert signals into meetings.

---

*Original Think-Tank Source: [Half Your CRM Data Is Wrong: AI Prospecting in a World of 49% Exec Turnover](https://www.saastr.com/half-your-crm-is-wrong-ai-prospecting-in-a-world-of-49-exec-turnover/)*