Mar 18, 2026 · 1h 5m · saastr

10 Things to Know Before You Deploy Your First AI SDR

Amelia Ibarra · 47m spoken Jason Lemkin · 11m spoken
0:00 / 0:00
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In this episode of the SaaStr Podcast, Amelia Ibarra and Jason Lemkin outline ten essential rules for deploying AI Sales Development Representatives (SDRs), focusing on replicating proven human sales playbooks, rigorous segmentation, and dedicated operational oversight.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 18.8% of the talking time here. How this is scored →

Jason as informed peer 2.9 Guest teaching 0.6 Guest disagreement 0.1 Jason pushing back 0.4
05100:0015:0030:0045:001:00:001:16–9:46 · Jason as informed peer 6/10 SaaStr Annual and AI Summit 2026 Announcement Jason and Amelia introduce the session and outline Rule 1, emphasizing that AI SDRs only work when scaling an already proven human sales playbook. Jason contributes domain expertise on startup vs. enterprise failure modes, while Amelia outlines SaaStr's multi-agent setup.9:49–16:39 · Jason as informed peer 5/10 Rule 2: Automate Unglamorous and Monotonous Workflows Amelia explains using AI SDRs for monotonous tasks like re-engaging neglected leads and sponsor portal follow-ups. Jason weighs in with operational color on build-versus-buy trade-offs for custom internal agents.16:40–20:57 · Jason as informed peer 5/10 Rule 3: Implement Ruthless Audience Segmentation Amelia emphasizes ruthless audience segmentation rather than relying on a single large AI context. Jason asks whether any modern AI tools can perform this segmentation autonomously, which Amelia clarifies still requires human marketing management.21:00–23:47 · Jason as informed peer 0/10 Rule 4: Consistency Beats Brilliance in Execution Amelia gives a monologue detailing Rule 4, explaining that consistent, 'pretty good' automated outbound messaging outperforms sporadic human attempts at perfection.23:52–27:19 · Jason as informed peer 0/10 Rule 5: Allocate Dedicated Human Oversight to Prevent Idling Amelia delivers a monologue explaining why at least one to two dedicated humans are necessary to reload segments and keep AI agents from sitting idle once campaigns complete.27:22–30:56 · Jason as informed peer 0/10 Rule 6: Thoroughly Review Agent Outputs and Calibrate Prompts Amelia walks through the necessity of reviewing almost every agent output during the first 30 days to catch branding quirks, hallucinated dates, and nuanced customer queries.31:01–35:01 · Jason as informed peer 0/10 Rule 7: Budget a Realistic Two-Week Ramp Period Amelia explains why teams must budget a realistic two-week ramp period for domain warm-up, calibration, and context engineering rather than expecting instant turn-key deployments.35:05–42:35 · Jason as informed peer 4/10 Rule 8: Multi-Modal Formats and Communication Guardrails Amelia details user preferences for chat over video/voice avatars and the strict guardrails needed for multimodal bots. Jason notes Delphi's similar metrics and suggests startups avoid video avatars initially.42:35–47:51 · Jason as informed peer 0/10 Rule 9: The Risks of Person-Dependent Deployments and Massive Scale Amelia outlines the operational and legal risks of modeling AI agents on specific employees and highlights the massive session scale these agents can rapidly accumulate.47:52–59:50 · Jason as informed peer 6/10 Rule 10: Data Fundamentals, Traffic Benchmarks, and Lookalike Lists Amelia argues inbound agents require 10k-20k monthly visitors to justify deployment, which Jason pushes back on as unrealistic for early startups. Amelia concedes the nuance and details using lookalike lists to scale outbound instead.59:51–1:05:45 · Jason as informed peer 6/10 Audience Q&A: Handling Drop-Offs, Prompt Injections, and SDR Quality In the Q&A segment, Amelia discusses drop-offs, prompt injection attempts, and user sentiment. Jason closes with a strategic thesis comparing AI agent quality against the high turnover of mediocre human SDRs.1:16–9:46 · Guest teaching 0/10 SaaStr Annual and AI Summit 2026 Announcement Jason and Amelia introduce the session and outline Rule 1, emphasizing that AI SDRs only work when scaling an already proven human sales playbook. Jason contributes domain expertise on startup vs. enterprise failure modes, while Amelia outlines SaaStr's multi-agent setup.9:49–16:39 · Guest teaching 0/10 Rule 2: Automate Unglamorous and Monotonous Workflows Amelia explains using AI SDRs for monotonous tasks like re-engaging neglected leads and sponsor portal follow-ups. Jason weighs in with operational color on build-versus-buy trade-offs for custom internal agents.16:40–20:57 · Guest teaching 2/10 Rule 3: Implement Ruthless Audience Segmentation Amelia emphasizes ruthless audience segmentation rather than relying on a single large AI context. Jason asks whether any modern AI tools can perform this segmentation autonomously, which Amelia clarifies still requires human marketing management.21:00–23:47 · Guest teaching 0/10 Rule 4: Consistency Beats Brilliance in Execution Amelia gives a monologue detailing Rule 4, explaining that consistent, 'pretty good' automated outbound messaging outperforms sporadic human attempts at perfection.23:52–27:19 · Guest teaching 0/10 Rule 5: Allocate Dedicated Human Oversight to Prevent Idling Amelia delivers a monologue explaining why at least one to two dedicated humans are necessary to reload segments and keep AI agents from sitting idle once campaigns complete.27:22–30:56 · Guest teaching 0/10 Rule 6: Thoroughly Review Agent Outputs and Calibrate Prompts Amelia walks through the necessity of reviewing almost every agent output during the first 30 days to catch branding quirks, hallucinated dates, and nuanced customer queries.31:01–35:01 · Guest teaching 0/10 Rule 7: Budget a Realistic Two-Week Ramp Period Amelia explains why teams must budget a realistic two-week ramp period for domain warm-up, calibration, and context engineering rather than expecting instant turn-key deployments.35:05–42:35 · Guest teaching 1/10 Rule 8: Multi-Modal Formats and Communication Guardrails Amelia details user preferences for chat over video/voice avatars and the strict guardrails needed for multimodal bots. Jason notes Delphi's similar metrics and suggests startups avoid video avatars initially.42:35–47:51 · Guest teaching 0/10 Rule 9: The Risks of Person-Dependent Deployments and Massive Scale Amelia outlines the operational and legal risks of modeling AI agents on specific employees and highlights the massive session scale these agents can rapidly accumulate.47:52–59:50 · Guest teaching 2/10 Rule 10: Data Fundamentals, Traffic Benchmarks, and Lookalike Lists Amelia argues inbound agents require 10k-20k monthly visitors to justify deployment, which Jason pushes back on as unrealistic for early startups. Amelia concedes the nuance and details using lookalike lists to scale outbound instead.59:51–1:05:45 · Guest teaching 1/10 Audience Q&A: Handling Drop-Offs, Prompt Injections, and SDR Quality In the Q&A segment, Amelia discusses drop-offs, prompt injection attempts, and user sentiment. Jason closes with a strategic thesis comparing AI agent quality against the high turnover of mediocre human SDRs.1:16–9:46 · Guest disagreement 0/10 SaaStr Annual and AI Summit 2026 Announcement Jason and Amelia introduce the session and outline Rule 1, emphasizing that AI SDRs only work when scaling an already proven human sales playbook. Jason contributes domain expertise on startup vs. enterprise failure modes, while Amelia outlines SaaStr's multi-agent setup.9:49–16:39 · Guest disagreement 0/10 Rule 2: Automate Unglamorous and Monotonous Workflows Amelia explains using AI SDRs for monotonous tasks like re-engaging neglected leads and sponsor portal follow-ups. Jason weighs in with operational color on build-versus-buy trade-offs for custom internal agents.16:40–20:57 · Guest disagreement 0/10 Rule 3: Implement Ruthless Audience Segmentation Amelia emphasizes ruthless audience segmentation rather than relying on a single large AI context. Jason asks whether any modern AI tools can perform this segmentation autonomously, which Amelia clarifies still requires human marketing management.21:00–23:47 · Guest disagreement 0/10 Rule 4: Consistency Beats Brilliance in Execution Amelia gives a monologue detailing Rule 4, explaining that consistent, 'pretty good' automated outbound messaging outperforms sporadic human attempts at perfection.23:52–27:19 · Guest disagreement 0/10 Rule 5: Allocate Dedicated Human Oversight to Prevent Idling Amelia delivers a monologue explaining why at least one to two dedicated humans are necessary to reload segments and keep AI agents from sitting idle once campaigns complete.27:22–30:56 · Guest disagreement 0/10 Rule 6: Thoroughly Review Agent Outputs and Calibrate Prompts Amelia walks through the necessity of reviewing almost every agent output during the first 30 days to catch branding quirks, hallucinated dates, and nuanced customer queries.31:01–35:01 · Guest disagreement 0/10 Rule 7: Budget a Realistic Two-Week Ramp Period Amelia explains why teams must budget a realistic two-week ramp period for domain warm-up, calibration, and context engineering rather than expecting instant turn-key deployments.35:05–42:35 · Guest disagreement 0/10 Rule 8: Multi-Modal Formats and Communication Guardrails Amelia details user preferences for chat over video/voice avatars and the strict guardrails needed for multimodal bots. Jason notes Delphi's similar metrics and suggests startups avoid video avatars initially.42:35–47:51 · Guest disagreement 0/10 Rule 9: The Risks of Person-Dependent Deployments and Massive Scale Amelia outlines the operational and legal risks of modeling AI agents on specific employees and highlights the massive session scale these agents can rapidly accumulate.47:52–59:50 · Guest disagreement 1/10 Rule 10: Data Fundamentals, Traffic Benchmarks, and Lookalike Lists Amelia argues inbound agents require 10k-20k monthly visitors to justify deployment, which Jason pushes back on as unrealistic for early startups. Amelia concedes the nuance and details using lookalike lists to scale outbound instead.59:51–1:05:45 · Guest disagreement 0/10 Audience Q&A: Handling Drop-Offs, Prompt Injections, and SDR Quality In the Q&A segment, Amelia discusses drop-offs, prompt injection attempts, and user sentiment. Jason closes with a strategic thesis comparing AI agent quality against the high turnover of mediocre human SDRs.1:16–9:46 · Jason pushing back 0/10 SaaStr Annual and AI Summit 2026 Announcement Jason and Amelia introduce the session and outline Rule 1, emphasizing that AI SDRs only work when scaling an already proven human sales playbook. Jason contributes domain expertise on startup vs. enterprise failure modes, while Amelia outlines SaaStr's multi-agent setup.9:49–16:39 · Jason pushing back 0/10 Rule 2: Automate Unglamorous and Monotonous Workflows Amelia explains using AI SDRs for monotonous tasks like re-engaging neglected leads and sponsor portal follow-ups. Jason weighs in with operational color on build-versus-buy trade-offs for custom internal agents.16:40–20:57 · Jason pushing back 1/10 Rule 3: Implement Ruthless Audience Segmentation Amelia emphasizes ruthless audience segmentation rather than relying on a single large AI context. Jason asks whether any modern AI tools can perform this segmentation autonomously, which Amelia clarifies still requires human marketing management.21:00–23:47 · Jason pushing back 0/10 Rule 4: Consistency Beats Brilliance in Execution Amelia gives a monologue detailing Rule 4, explaining that consistent, 'pretty good' automated outbound messaging outperforms sporadic human attempts at perfection.23:52–27:19 · Jason pushing back 0/10 Rule 5: Allocate Dedicated Human Oversight to Prevent Idling Amelia delivers a monologue explaining why at least one to two dedicated humans are necessary to reload segments and keep AI agents from sitting idle once campaigns complete.27:22–30:56 · Jason pushing back 0/10 Rule 6: Thoroughly Review Agent Outputs and Calibrate Prompts Amelia walks through the necessity of reviewing almost every agent output during the first 30 days to catch branding quirks, hallucinated dates, and nuanced customer queries.31:01–35:01 · Jason pushing back 0/10 Rule 7: Budget a Realistic Two-Week Ramp Period Amelia explains why teams must budget a realistic two-week ramp period for domain warm-up, calibration, and context engineering rather than expecting instant turn-key deployments.35:05–42:35 · Jason pushing back 0/10 Rule 8: Multi-Modal Formats and Communication Guardrails Amelia details user preferences for chat over video/voice avatars and the strict guardrails needed for multimodal bots. Jason notes Delphi's similar metrics and suggests startups avoid video avatars initially.42:35–47:51 · Jason pushing back 0/10 Rule 9: The Risks of Person-Dependent Deployments and Massive Scale Amelia outlines the operational and legal risks of modeling AI agents on specific employees and highlights the massive session scale these agents can rapidly accumulate.47:52–59:50 · Jason pushing back 3/10 Rule 10: Data Fundamentals, Traffic Benchmarks, and Lookalike Lists Amelia argues inbound agents require 10k-20k monthly visitors to justify deployment, which Jason pushes back on as unrealistic for early startups. Amelia concedes the nuance and details using lookalike lists to scale outbound instead.59:51–1:05:45 · Jason pushing back 0/10 Audience Q&A: Handling Drop-Offs, Prompt Injections, and SDR Quality In the Q&A segment, Amelia discusses drop-offs, prompt injection attempts, and user sentiment. Jason closes with a strategic thesis comparing AI agent quality against the high turnover of mediocre human SDRs.

speaking balance: gold is Jason, purple is the guest (3 minute bins)

0:00 · Jason 62.9% · guest 37.1%0:00 · Jason 62.9% · guest 37.1%3:00 · Jason 9.5% · guest 90.5%3:00 · Jason 9.5% · guest 90.5%6:00 · Jason 64.2% · guest 35.8%6:00 · Jason 64.2% · guest 35.8%9:00 · Jason 0% · guest 100%9:00 · Jason 0% · guest 100%12:00 · Jason 0.8% · guest 99.2%12:00 · Jason 0.8% · guest 99.2%15:00 · Jason 34.1% · guest 65.9%15:00 · Jason 34.1% · guest 65.9%18:00 · Jason 23.5% · guest 76.5%18:00 · Jason 23.5% · guest 76.5%21:00 · Jason 0% · guest 100%21:00 · Jason 0% · guest 100%24:00 · Jason 0% · guest 100%24:00 · Jason 0% · guest 100%27:00 · Jason 0% · guest 100%27:00 · Jason 0% · guest 100%30:00 · Jason 0% · guest 100%30:00 · Jason 0% · guest 100%33:00 · Jason 0% · guest 100%33:00 · Jason 0% · guest 100%36:00 · Jason 18.4% · guest 81.6%36:00 · Jason 18.4% · guest 81.6%39:00 · Jason 23.2% · guest 76.8%39:00 · Jason 23.2% · guest 76.8%42:00 · Jason 0% · guest 100%42:00 · Jason 0% · guest 100%45:00 · Jason 4.1% · guest 95.9%45:00 · Jason 4.1% · guest 95.9%48:00 · Jason 26% · guest 74%48:00 · Jason 26% · guest 74%51:00 · Jason 32.5% · guest 67.5%51:00 · Jason 32.5% · guest 67.5%54:00 · Jason 18.8% · guest 81.2%54:00 · Jason 18.8% · guest 81.2%57:00 · Jason 23% · guest 77%57:00 · Jason 23% · guest 77%1:00:00 · Jason 16.9% · guest 83.1%1:00:00 · Jason 16.9% · guest 83.1%1:03:00 · Jason 60.8% · guest 39.2%1:03:00 · Jason 60.8% · guest 39.2%
Sharpest disagreement ▶ 52:47 Amelia defending traffic volume thresholds

Amelia defends her high 10k-20k website traffic benchmark against Jason's challenge, explaining that inbound funnel math collapses without sufficient top-of-funnel visitor volume.

Hardest push from Jason ▶ 52:13 Jason challenging inbound visitor requirement

Jason pushes back against Amelia's 10,000 to 20,000 visitor threshold, arguing that early-stage startups without human coverage still benefit from having an agent answer inbound questions 24/7.

Biggest teaching moment ▶ 19:40 Amelia clarifying autonomous segmentation limitations

Amelia clarifies to Jason that no current AI SDR tool can autonomously generate high-converting hyper-segments without an operator manually configuring the audience parameters.

Jason holds their own ▶ 1:04:05 Jason on the SDR turnover and quality bar

Jason delivers an incisive analysis of the SDR market, showing that AI SDRs do not need to outperform top reps to be viable, but merely exceed the consistency and retention of mediocre human SDRs.

the scores for every segment, with the reasoning behind each
ChapterTopicJason as informed peerGuest teachingGuest disagreementJason pushing backWhy
SaaStr Annual and AI Summit 2026 Announcement 6000 Jason and Amelia introduce the session and outline Rule 1, emphasizing that AI SDRs only work when scaling an already proven human sales playbook. Jason contributes domain expertise on startup vs. enterprise failure modes, while Amelia outlines SaaStr's multi-agent setup.
Rule 2: Automate Unglamorous and Monotonous Workflows 5000 Amelia explains using AI SDRs for monotonous tasks like re-engaging neglected leads and sponsor portal follow-ups. Jason weighs in with operational color on build-versus-buy trade-offs for custom internal agents.
Rule 3: Implement Ruthless Audience Segmentation 5201 Amelia emphasizes ruthless audience segmentation rather than relying on a single large AI context. Jason asks whether any modern AI tools can perform this segmentation autonomously, which Amelia clarifies still requires human marketing management.
Rule 4: Consistency Beats Brilliance in Execution 0000 Amelia gives a monologue detailing Rule 4, explaining that consistent, 'pretty good' automated outbound messaging outperforms sporadic human attempts at perfection.
Rule 5: Allocate Dedicated Human Oversight to Prevent Idling 0000 Amelia delivers a monologue explaining why at least one to two dedicated humans are necessary to reload segments and keep AI agents from sitting idle once campaigns complete.
Rule 6: Thoroughly Review Agent Outputs and Calibrate Prompts 0000 Amelia walks through the necessity of reviewing almost every agent output during the first 30 days to catch branding quirks, hallucinated dates, and nuanced customer queries.
Rule 7: Budget a Realistic Two-Week Ramp Period 0000 Amelia explains why teams must budget a realistic two-week ramp period for domain warm-up, calibration, and context engineering rather than expecting instant turn-key deployments.
Rule 8: Multi-Modal Formats and Communication Guardrails 4100 Amelia details user preferences for chat over video/voice avatars and the strict guardrails needed for multimodal bots. Jason notes Delphi's similar metrics and suggests startups avoid video avatars initially.
Rule 9: The Risks of Person-Dependent Deployments and Massive Scale 0000 Amelia outlines the operational and legal risks of modeling AI agents on specific employees and highlights the massive session scale these agents can rapidly accumulate.
Rule 10: Data Fundamentals, Traffic Benchmarks, and Lookalike Lists 6213 Amelia argues inbound agents require 10k-20k monthly visitors to justify deployment, which Jason pushes back on as unrealistic for early startups. Amelia concedes the nuance and details using lookalike lists to scale outbound instead.
Audience Q&A: Handling Drop-Offs, Prompt Injections, and SDR Quality 6100 In the Q&A segment, Amelia discusses drop-offs, prompt injection attempts, and user sentiment. Jason closes with a strategic thesis comparing AI agent quality against the high turnover of mediocre human SDRs.

Statements from this episode (21)

Disclosure
Ibarra: SaaStr operates over 20 AI agents in production
“Now we have, you know, more than 20 agents In our full stack, we've deployed more than one AISDR.”
Amelia Ibarra Mar 18, 2026 ▶ 1:59
Insight
Ibarra: Most companies only need one AI SDR vendor
“Most of what you will need to do slash want to do with your agents, you'll probably be fine using just one vendor. Versus using the four or five that we have for outbound.”
Amelia Ibarra Mar 18, 2026 ▶ 3:07
Insight
Lemkin: AI SDRs fail unless an outbound sales playbook is proven first
“If you haven't gotten any outbound to work, Buying an AI to do it isn't, it's not going to help you. You have to prove it. Any of the agents we use, any of the dozens of agents we use, we are taking a playbook that at least works a little bit.”
Jason Lemkin Mar 18, 2026 ▶ 5:49
Assertion Not checkable as stated
Ibarra: SaaStr Annual agency hours dropped over 90% via AI automation
“I was looking at the amount of hours our actual, our events production agency had done for January and February for this year for SAS Reannual that's coming up in May versus the amount that our agency had done last year in January and February for the SAS Rean…”
Amelia Ibarra Mar 18, 2026 ▶ 13:40
Disclosure
Lemkin: SaaStr uses Agentforce, Qualified, Artisan, and Monaco for AI SDRs
“For the most part, we are using the current four third-party agents that we use, right? We are using Agent Force from Salesforce, Qualified, which Salesforce is buying. We're using Artisan, which we use all the time as a core outbound agent. And recently we've…”
Jason Lemkin Mar 18, 2026 ▶ 15:06
Assertion Supported
Lemkin: Salesforce is acquiring pipeline generation platform Qualified
“Qualified, which Salesforce is buying.”
Jason Lemkin Mar 18, 2026 ▶ 15:12
Opinion
Lemkin: Current AI SDR tools cannot autonomously auto-segment effectively
“None of the AI tools we use today, which are all great, but none of them can really use AI to auto segment in a way that can deliver these results.”
Jason Lemkin Mar 18, 2026 ▶ 19:43
Insight
Ibarra: AI SDRs perform far better with hyper-specific audience segmentation
“We've run these for 10 months now, it just works a heck of a lot better to have accepted segmented and have the context that you're giving the agent hyper specific to that segment.”
Amelia Ibarra Mar 18, 2026 ▶ 20:43
Disclosure
Ibarra: SaaStr sent roughly 340,000 messages across Artisan, Qualified, and Salesforce
“I will tell you, we've sent this is just artisan, but it's sent 40,000 messages. Okay, I think our qualified is later on this deck that's sent like a 100,000 messages because that's an inbound. And then with Salesforce, we're probably close to like 200,000 mes…”
Amelia Ibarra Mar 18, 2026 ▶ 21:25
Insight
Ibarra: AI SDR messaging only needs to be pretty good, not brilliant
“Pretty good. I would say is the bar. It does not need to be brilliant. It does not need to be the best email on planet earth or even an email that you might write yourself. It just needs to be pretty good to get this person down the path you want them to go.”
Amelia Ibarra Mar 18, 2026 ▶ 23:34
Insight
Ibarra: Deploying AI SDRs requires at least one to two dedicated humans
“You need at least one, but ideally two essential humans to run all this and to deploy your AI SDR. you can't have zero people.”
Amelia Ibarra Mar 18, 2026 ▶ 23:52
Insight
Ibarra: AI SDRs quickly finish sequences and idle without human-fed segments
“Your agents will sit idle if you don't give them new segments, new context, new people to go out to. It will finish its sequence in a couple days, and then it will sit there until you give it the next one.”
Amelia Ibarra Mar 18, 2026 ▶ 25:18
Insight
Ibarra: Teams must read all AI SDR outputs for 30 days
“Read everything. I would say in the first 30 days and then read almost everything. Every day after that. So if you're rolling out your first AISDR agent, you are going to want to read everything. And maybe you're going to want to read everything before you hit…”
Amelia Ibarra Mar 18, 2026 ▶ 27:26
Assertion Supported
Ibarra: Warming up domains and IPs for AI SDRs takes two to three weeks
“Some specifically to with an outbound agent, they can take a little bit longer, especially if it's warming up anything like specific IPs or domains or dedicated evil addresses. Sometimes that process just takes two to three weeks in and of itself.”
Amelia Ibarra Mar 18, 2026 ▶ 31:09
Opinion
Ibarra: Buyers should distrust vendors marketing instant AI SDR deployments
“Nothing we have found is instant. So I would be wary of anything that you see is like an instant AISDR. Oh, roll it out today. I'd be wary of that for a lot of reasons.”
Amelia Ibarra Mar 18, 2026 ▶ 34:29
Assertion Not checkable as stated
Ibarra: Most prospects prefer chat or email over voice/video AI SDRs
“And what we've found for the last year is that most people still prefer to chat with an AISDR. Over chat or over email versus either phone, voice, or video.”
Amelia Ibarra Mar 18, 2026 ▶ 35:53
Assertion Not checkable as stated
Ibarra: SaaStr logged over 1.5M sessions on Qualified AI alone
“We've had more than 1.5 million sessions just overall, just in qualified, not counting our other agents with, you know, text-based communication or video communication.”
Amelia Ibarra Mar 18, 2026 ▶ 46:12
Insight
Ibarra: Inbound AI SDRs need 10,000 to 20,000 monthly website visitors
“I, if you have less than, let's say, 10 to 20,000 visitors a month, it's probably not worth it.”
Amelia Ibarra Mar 18, 2026 ▶ 51:00
Assertion Not checkable as stated
Ibarra: SaaStr doubled CMO Summit attendees in one week via Clay lookalikes
“I happen to use Clay, and we had actually doubled the amount of CMO Summit attendees in a week just by using a lookalike.”
Amelia Ibarra Mar 18, 2026 ▶ 57:19
Assertion Not checkable as stated
Ibarra: 99% of Inbound Prospects Are Satisfied Interacting with AI SDRs
“But for the most part, 99% of people are happy to talk to Amelia because we're busy. Like, I can't come answer your questions about tickets or Where are the hotel room block is? Or when did, when does the ticket code expire or when do prices go up and what's t…”
Amelia Ibarra Mar 18, 2026 ▶ 1:02:52
Insight
Lemkin: Well-Trained AI SDRs Deliver Better Interactions Than Mediocre Humans
“So what we found is if, and it might be hard to quantify that, maybe it isn't, but if you get above a certain line, if you invest the time to train your agent, if you read the email exceptions every day, if you upload all the documents, you're going to find th…”
Jason Lemkin Mar 18, 2026 ▶ 1:04:40
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