Webinar #7 | The 90-Day Curve, Week by Week
Last updated: June 2, 2026
Overview | TL;DR:
This webinar covers how to evaluate AiSDR performance during the first 90 days and how to make better campaign decisions week by week.
Yuriy walks through:
What to expect during the first month with AiSDR
Why campaigns need time and volume before judging results
How to evaluate response rate vs. positive response rate
When to improve an offer, adjust ICP, or stop a campaign
How to scale winning campaigns
How to use AI Strategist / AMI to analyze and improve campaigns
Best practices for multi-channel cadence and LinkedIn outreach
The focus is on helping customers avoid restarting too early, run structured experiments, and use AiSDR as an iterative outbound engine.
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Meeting timestamp
00:00β05:00 β Welcome & 90-day planning overview
05:00β10:30 β Setup, campaign launch, and credit planning
10:30β18:30 β Dashboard metrics and campaign evaluation
18:30β24:00 β Q&A on campaign ideas and AI Strategist
24:00β33:30 β Scaling winners, continuous search, and product updates
34:00β36:00 β LinkedIn safety Q&A
36:00β37:00 β Recap and closing
What is covered:
The 90-Day AiSDR Curve
We covered how customers should think about their first 90 days with AiSDR.
The first month is focused on setup, launch, and early learning. Week one is mainly about infrastructure: setting up mailboxes, connecting CRMs, configuring suppression lists, preparing signatures, and defining campaign strategy.
Week two is when the first campaigns should launch. However, the number of campaigns should match the customerβs plan and available credits. For example, Explore customers should usually launch up to three campaigns, while Grow customers can launch more, but still should avoid spreading volume too thin.
The most important point is that outbound takes time. Campaigns should not be rebuilt or stopped too early. A campaign needs enough volume and time before performance can be judged.
Campaign Evaluation Rules
A campaign should generally be evaluated only after:
It has been running for at least two weeks
It has contacted around 100 people
If a campaign has not reached that threshold, the results are usually too early to interpret.
Once there is enough data, campaign performance should be reviewed based on response rate and positive response rate.
If the response rate is high but the positive response rate is low, the audience is likely engaging, but the offer is not strong enough. In this case, the recommendation is to improve the offer, CTA, or value proposition.
If the response rate is low overall, the issue is more likely targeting, ICP, or channel fit. In this case, the recommendation is to narrow the ICP, improve signals, or consider adding LinkedIn/multi-channel outreach.
If a campaign has been running long enough and has no meaningful engagement, it should be stopped so it does not continue using credits without producing learnings.
Month-by-Month Planning
The first 90 days should be treated as a structured outbound experiment.
During weeks 1β4, the goal is to launch initial campaigns, monitor early traction, and avoid making premature changes.
During weeks 4β8, the focus should shift to experimentation. This is the time to test new ICPs, new offers, and new campaign ideas.
During weeks 8β12, the goal is to double down on winners. Campaigns that show strong positive response rates should be scaled by adding more leads, enabling continuous search, or copying the campaign strategy into similar markets or audiences.
The same pattern can repeat each quarter: start with campaign ideas, test, identify what works, stop what does not, and scale the winners.
What Good Performance Looks Like
AiSDR generally aims for around a 1% positive response rate, but Yuriy emphasized that this should not be treated as a universal benchmark.
The best benchmark is your own campaign performance. Customers should compare campaigns against each other and ask:
Which campaign is performing best?
Why is it working?
Can we copy this strategy into another segment?
Which campaigns are underperforming?
Is the issue the offer, the ICP, or the channel?
Strong campaigns should be prioritized and continuously fed with new leads. Poor campaigns should either be improved or stopped.
Dashboard & Metrics
We covered how to use the AiSDR dashboard to monitor performance.
The most important metrics to track are:
Leads engaged
Emails sent
Overall response rate
Positive response rate
Pipeline created
Deals won
Open rates were not recommended as a key metric because they do not reliably indicate campaign quality.
The dashboard helps identify whether campaigns are sending properly, whether people are replying, and whether replies are converting into positive interest.
Alerts can also help flag issues, such as campaigns with no positive responses after a meaningful period or campaigns that are adding too few leads.
Multi-Channel Cadence Best Practices
A key Q&A topic was how often outreach steps should happen.
The recommended cadence is usually 5β12 touches across email and LinkedIn over 10 days to two weeks.
The reason is that outreach works best when prospects see the sender multiple times within a short window. If touches are spaced too far apart, each message feels like a new first touch and loses the compounding awareness effect.
A typical sequence may include LinkedIn, email, another LinkedIn touch, follow-up emails, and additional LinkedIn engagement with one- to three-day gaps between steps.
AiSDR templates are already configured around this type of cadence, so customers do not need to build it manually from scratch.
Re-Engagement Strategy
If a prospect does not respond during the first sequence, that does not always mean they are not interested. They may be busy, traveling, in reporting season, or simply missed the message.
The recommended approach is to re-engage those prospects later, usually after one to three months.
For vacation replies specifically, AiSDR can detect out-of-office responses and follow up when the person is back.
AI Strategist / Ami AI
We covered the updated AI Strategist, soon to be renamed AMI.
AI Strategist can help customers:
Analyze campaign performance
Diagnose why a campaign is not working
Suggest offer improvements
Recommend tighter ICPs
Create new campaign ideas
Build improved campaigns
Answer questions about AiSDR
The Analyze Campaign feature reviews campaign data and provides a clear diagnosis. For example, it can identify that deliverability is not the issue, but the audience is too broad, the campaign is email-only, or the offer is not compelling enough.
Customers can then continue chatting with AI Strategist and ask it to improve the campaign or build a new version.
AI Strategist has also been upgraded with knowledge of AiSDR best practices and successful campaign patterns across multiple industries.
Product Tour & AiSDR Academy
We introduced AiSDR Academy and the Product Tour as helpful resources for onboarding and ongoing learning.
AiSDR Academy includes a roadmap for the first month and helps customers understand what to expect at each stage. Customers can also complete onboarding tasks and earn additional credits.
The Product Tour helps users review key AiSDR functionality and understand what the platform can do.
Both resources are designed to make onboarding easier and help users get more value from the platform without needing to rely only on customer success calls.
LinkedIn Outreach Safety
During Q&A, Yuriy addressed LinkedIn outreach safety.
AiSDR is designed to follow LinkedIn limits, behavioral patterns, and outreach best practices. The recommendation is to use good targeting, relevant messaging, and safe outreach volumes.
When campaigns are properly targeted and do not violate LinkedIn limits, LinkedIn outreach can be used safely as part of a multi-channel strategy.
Key takeaways
Give campaigns enough time before judging results
Campaigns should usually run for at least two weeks and contact around 100 leads before performance decisions are made.
Do not spread volume too thin
Launching too many small campaigns makes it difficult to learn what works. It is better to run fewer campaigns with enough volume.
Response rate and positive response rate mean different things
If people reply but do not respond positively, the offer likely needs improvement. If people do not reply at all, the ICP, targeting, or channel may need to change.
Month two is for experimentation
Weeks 4β8 should be used to test new campaign ideas, offers, ICPs, and channels.
Month three is for scaling winners
Weeks 8β12 should focus on campaigns that are already working. These should be copied, expanded, or continuously fed with new leads.
Your best benchmark is your own performance
Instead of only comparing against industry averages, customers should compare campaigns against their own strongest performers.
Multi-channel outreach works best in a compressed cadence
Email and LinkedIn touches should usually happen over 10 days to two weeks, with short gaps between steps.
AI Strategist helps reduce campaign guesswork
AI Strategist / AMI can analyze campaigns, suggest improvements, generate new ideas, and help customers build stronger campaigns faster.
Winning campaigns need continuous lead flow
If a campaign is performing well, it should keep adding leads so the strategy can scale.
Q&A Highlights
How long should we wait between outreach steps?
The recommended cadence is usually one to three days between steps, with several touches across email and LinkedIn over 10 days to two weeks.
Should we re-engage leads who do not respond?
Yes. If a lead does not respond, they can be re-engaged later, typically after one to three months. They may have missed the first sequence due to timing, travel, or internal priorities.
What if someone is on vacation?
AiSDR can detect out-of-office replies and follow up when the person is back.
How many people should be in a campaign before judging results?
Around 100 contacted leads is the recommended minimum for a meaningful read.
What should we do if response rate is good but positive response rate is low?
Improve the offer. The audience is engaging, but the value proposition may not be compelling enough.
What should we do if response rate is low?
Review the ICP, targeting, and channel strategy. The audience may be too broad, too cold, or not aligned with the message.
Can AI Strategist help create new campaign ideas?
Yes. AI Strategist has been upgraded with best practices and historical campaign learnings, and can suggest new ICPs, offers, and campaign ideas.
How do we scale a winning campaign?
Copy the campaign, adapt it to a similar audience or market, enable continuous search, and make sure it keeps adding enough leads.
Is LinkedIn outreach safe in AiSDR?
AiSDR is designed to follow LinkedIn limits and safe behavioral patterns. Strong targeting, relevant messaging, and compliant outreach volumes are key.
