Meeting Timestamps

• 00:00–03:30 — Welcome, agenda, and goals of the webinar

• 03:30–12:30 — Onboarding app walkthrough & Outbound Magic Quadrant framework

• 12:30–20:00 — Mailboxes, campaign volume guidance, and common onboarding blockers

• 20:00–33:00 — Live AI targeting: signals, prompts, and audience building best practices

• 33:00–40:00 — Continuous lead addition, troubleshooting searches, and experimentation mindset

• 40:00–50:00 — Campaign builder, sequences, channel bandwidth (email vs LinkedIn), calls

• 50:00–55:30 — LinkedIn signals, campaign duplication, and lifecycle management (kill vs scale)

• 55:30–58:30 — CSV imports, data quality pitfalls, and when CSVs work

• 58:30–60:00 — Final recap, key takeaways, and Q&A wrap-up

Focus on quality over quantity when launching campaigns

Early success with AiSDR comes from running a limited number of campaigns with enough leads to generate meaningful data. Fewer campaigns make it easier to understand what’s working, learn faster, and avoid spreading message volume across weak or unproven ideas.

Relevance comes from signals, not filters

Traditional targeting based on job titles, industries, or company size no longer guarantees relevance. Campaigns perform best when they are built around real, publicly verifiable signals (such as hiring activity or growth indicators), which indicate timing and pain—this is where Live AI targeting delivers the strongest results.

Your offer drives responses, not the sending setup

Mailbox names, domains, and technical details have far less impact on outcomes than many teams assume. Clear value, strong positioning, and message relevance consistently matter more than who the email appears to come from.

Test small, then scale with confidence

Launching with a small lead batch allows you to validate targeting and messaging before committing volume. Once a campaign shows positive responses, scaling it intentionally prevents wasted credits and protects deliverability.

Channel limits directly affect campaign performance

Email and LinkedIn operate under very different volume constraints. Poorly designed multi-channel sequences can stall campaigns or distort timing. Aligning sequence structure with channel bandwidth ensures every lead receives the full outreach flow as intended.

Treat outbound as a continuous optimization loop

Campaigns should be reviewed every few weeks and evaluated by positive response rate. High-performing campaigns deserve more volume and refinement, while underperforming ones should be stopped to prevent them from draining resources.

CSV-based outreach requires strong intent to work

Uploading CSVs only delivers results when the list is curated and signal-rich (e.g., event attendees or previously engaged accounts). Generic CRM exports without clear intent or pain signals tend to underperform compared to Live AI or signal-driven targeting.

How does AiSDR handle suppression lists when companies use multiple or similar domains?

Suppression works on an exact domain match only. This avoids accidentally suppressing unrelated companies with similar names. While edge cases can slip through, this happens in less than 1% of situations.

Can leads from stopped or inactive campaigns be reused in new campaigns?

Yes. If the same leads are added to a new campaign, AiSDR detects duplicates and prompts you to resolve them. By default, previously contacted leads can be included again.

Is it better to restart an old campaign or create a new one?

In most cases, creating a new campaign is recommended. AiSDR is optimized for launching new campaigns quickly and fine-tuning ones that already perform well, rather than rebuilding underperforming campaigns from scratch.

What if prospects don’t show strong LinkedIn signals?

That’s not an issue. Live AI goes beyond LinkedIn and analyzes websites, job boards, social platforms, reviews, and other public data sources to validate signals and intent.

Why don’t all accounts have access to website visitor identification?

Website visitor de-anonymization is currently available on the enterprise plan and works primarily for US-based traffic.

📄 Why Am I Not Seeing All Website Visitors in My Leads Tracking?

Why do CSV-based campaigns often perform worse than Live AI campaigns?

CSV campaigns work best with curated, high-intent lists (e.g., event attendees or previously engaged prospects). Generic CRM exports typically lack clear signals, which leads to lower response rates.

What should we do when campaigns start losing momentum?

Review campaigns every 2–3 weeks, scale those with positive responses, and stop underperforming campaigns. Launch new experiments rather than trying to revive campaigns that never performed well.