AI Differentiator

Follow-Up Insights

AI analyzes your follow-up patterns: what's working, optimal timing, channel performance. Get recommendations to improve conversion. Optimizes your drip campaigns.

Stop guessing. Know what works.

What AI Analyzes

Data-driven insights from your actual results.

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Channel Performance

Which channels get the best response: SMS, call, email, mail?

Optimal Timing

Best days and times to reach your leads. When do they respond?

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Touch Analysis

How many touches before conversion? What's the ideal sequence?

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Conversion Patterns

What do your closed deals have in common? Replicate success.

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Drop-Off Points

Where do leads go cold? Fix the leaks in your funnel.

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Recommendations

AI suggests improvements: try this channel, adjust timing, change copy.

Example Insights

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SMS gets 3.2x higher response rate than email for pre-foreclosure leads

Recommendation: Shift pre-foreclosure outreach to SMS-first

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Leads contacted on Tuesday-Wednesday convert 28% better than weekends

Recommendation: Schedule high-value calls for mid-week

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65% of your closed deals responded after 5+ touches

Recommendation: Extend sequences to at least 6 touches

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Absentee owners respond best to direct mail + SMS combo

Recommendation: Create multi-channel sequence for absentee list

How Insights Work

1

You Work Leads

Call, text, email, mail. Mark outcomes. Close deals.

2

AI Tracks Everything

Every touch, every response, every conversion recorded.

3

Patterns Emerge

AI identifies what your successful deals have in common.

4

Get Recommendations

Actionable suggestions to replicate what works.

Frequently Asked Questions

What are Follow-Up Insights?
Follow-Up Insights is an AI-powered analytics feature that analyzes your outreach patterns and results. It identifies what's working, what's not, and provides recommendations to improve your conversion rates.
What patterns does AI analyze?
AI looks at channel performance (SMS vs call vs email), timing (day of week, time of day), number of touches before conversion, and characteristics of leads that convert vs those that don't.
How do recommendations work?
Based on your data, AI suggests specific actions: "SMS gets 2x response rate vs email for pre-foreclosure leads" or "Leads contacted on Tuesday convert 30% better." Actionable insights you can apply.
How much data is needed for insights?
Insights improve with more data. Basic patterns emerge after 50-100 contacts. Robust recommendations require 500+ contacts and 10+ closed deals to identify statistically significant patterns. Start building data today.

Know what works. Do more of it.

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