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What is covered:

High-Intent Targeting (Live AI & LinkedIn Signals)

We covered how the best-performing campaigns in AiSDR are built around high-intent audiences. Instead of relying on rigid job titles, the platform allows you to target by function (e.g., senior sales decision-makers) to capture a broader but still highly relevant audience.

The key driver of performance is using signals — ideally two or more — such as funding events, hiring activity, or technology usage. These signals help identify prospects who are more likely to engage at a specific moment in time.

In addition to Live AI, LinkedIn signals such as post engagement and keyword activity can be used to identify active and relevant audiences. This includes retargeting people who engage with competitor content, influencers, or specific industry topics.

Analyze Campaign (AI Strategist Update)

We introduced the updated Analyze Campaign feature within AI Strategist, which allows you to review and diagnose campaign performance in real time.

The system evaluates targeting, messaging, and results to identify where drop-offs occur — for example, good reply rates but low meeting conversion. Based on this, it suggests improvements such as refining signals, adjusting messaging, or simplifying the call-to-action.

You can then generate an improved version of the campaign directly from these insights, making optimization much faster and more structured.

Targeting & Channel Alignment

We covered the importance of aligning your targeting strategy with your outreach channels.

Broad audiences are better suited for email-only campaigns, where volume is higher but conversion rates may be lower. In contrast, highly targeted audiences with strong signals perform best in multi-channel or LinkedIn-focused campaigns, where each touchpoint is more precise.

Because LinkedIn has lower daily limits than email, misalignment between channels and targeting can lead to incomplete sequences and missed opportunities. Proper alignment ensures that every prospect receives the full outreach experience.

Campaigns should be given enough time and volume before making performance decisions. As a best practice, avoid stopping a campaign after only a few touches. Let it run for at least two weeks or reach around 50–100 contacted leads before judging results.

Suppression Lists (Best Practice)

We emphasized the importance of setting up suppression lists early in your AiSDR setup.

Without suppression, campaigns may unintentionally target existing customers, competitors, or internal contacts. AiSDR supports suppression via CSV uploads, HubSpot, and Salesforce, and allows segmentation per campaign.

Proper suppression setup ensures cleaner outreach, better targeting, and avoids negative interactions.

AI Monitoring (Use Cases)

We reinforced the value of AI Monitoring as a way to prioritize outreach based on real-time signals.

By connecting CRM lists, you can track when accounts become more likely to engage — for example, after funding, hiring, or organizational changes. This enables use cases such as:

• Expanding existing customer accounts

• Reactivating closed-lost or churned deals

• Following up with event attendees or content downloads

Instead of constant outreach, teams can act when timing is right, leading to higher conversion rates.

AI Strategist (Campaign Creation & Events Campaigns)

We demonstrated how AI Strategist can be used to create campaigns conversationally, including event-based campaigns.

Event campaigns consistently perform well because they combine strong timing with relevant context. AI Strategist can suggest relevant events, identify the right audience, and generate tailored messaging based on event participation or engagement.

This allows users to quickly build campaigns that are timely, personalized, and aligned with real industry activity.

AI Strategist also includes a memory layer, so each conversation can help it better understand your business context and improve future campaign suggestions. Continuous campaign monitoring is also planned, allowing AI Strategist to review campaign performance automatically instead of only through manual analysis.

Persona Questionnaire Improvements

We introduced updates to the Persona creation flow to make it more structured and effective.

Instead of working with a single large prompt, users can now define messaging through more guided inputs, including sample messages, suggested frameworks, and richer audience context. The system also allows uploading files and links to better train AI on your business.

Additionally, persona feedback has been improved to update specific sections more precisely, making iteration easier.

AI Voice Replicas

We introduced AI voice replicas, which allow users to record their voice and use it for automated LinkedIn voice notes.

Previously, voice messages required manual recording. Now, you can create a voice clone directly in the platform and use it in campaigns. Voice notes act as a strong pattern interrupt and have shown strong conversion performance due to their personalization and novelty.

Key takeaways

Q&A Highlights