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8am In Atlanta

How to track the 3 numbers that will triple your DM conversions

The 3-metric dashboard every coach needs

Tia Gets Sales's avatar
Tia Gets Sales
Oct 01, 2025
∙ Paid
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You’re pacing around your kitchen at midnight again. Phone in one hand, cold Sleepytime tea in the other.

You’ve just finished responding to your 47th DM of the day - another prospect who vanished after message three.

Your notebook sits on the counter, covered in angry red circles around response times, message counts, and scattered percentages that mean nothing.

The numbers mock you.

Four months of tracking everything, and you still have no idea why some conversations convert, while others disappear into the void.

You grab your laptop and start building a simple spreadsheet.

Three columns. That’s it.

Two weeks later, you’ve tripled your booking rate.

The problem wasn’t your messages… it was that you’d been tracking the wrong signals.

Today, I’m sharing the 3 metrics that actually predict DM conversion - and the simple dashboard that makes them impossible to ignore.

• Metric 1: Reply Speed Score (not just response time)

• Metric 2: Progress Score (forget counting messages)

• Metric 3: Ghost Points (the one nobody talks about)

Let’s build your revenue dashboard...


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Most businesses aren’t losing sales because of bad offers… they’re losing them because of silent leaks in their follow-up systems. Missed calls, unanswered DMs, quotes that go quiet… all of it stacks up into invisible lost revenue.

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Our automations track the exact signals that predict conversion, and patch the leaks before they cost you.

Clients using our Revenue Recovery Systems have seen:

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The 3 Numbers That Actually Matter

1️⃣ Reply Speed Score

❌ Before: You tracked “average response time” - a useless vanity metric that told you nothing about conversion patterns.

You’d respond within 5 minutes sometimes, 3 hours other times.

Your spreadsheet showed an average of 47 minutes.

Meaningless.

✅ After: You started tracking Reply Speed Score - the relationship between response speed and conversation stage.

Here’s what you discovered:

Opening response within 3 minutes = 73% continue rate
Opening response after 60 minutes = 12% continue rate

BUT...

Middle-conversation responses within 3 minutes = 31% booking rate
Middle-conversation responses at 15-30 minutes = 68% booking rate

The insights:

Fast openers build momentum.
Strategic pauses mid-conversation create anticipation.

Implementation:
  1. Set alerts for new message notifications

  2. Respond to openers within 5 minutes maximum

  3. Build in 15-20 minute breathing room for middle messages

  4. Track velocity by conversation stage, not overall average

2️⃣ Progress Score

❌ Before: You counted messages like they were baseball cards. “This conversation had 23 messages!” So what?

Long conversations felt productive.

They weren’t.

You were confusing activity with progress.

✅ After: You created the Progress Score - measuring progression through value stages, not message count.

Score Formula:

  • Stage 1: Problem acknowledgment (1 point)

  • Stage 2: Challenge exploration (2 points)

  • Stage 3: Solution curiosity (3 points)

  • Stage 4: Investment discussion (4 points)

  • Stage 5: Call scheduling (5 points)

A 6-message conversation hitting all 5 stages (15 points) beats a 30-message conversation stuck in Stage 1-2 (3 points).

Implementation:
  1. Map your typical conversation stages

  2. Score each conversation weekly

  3. Identify where conversations typically stall

  4. Create bridge messages for common stuck points

3️⃣ Ghost Points

❌ Before: You knew people ghosted. You didn’t know they ghosted in patterns.

You’d blame yourself randomly. “Was it something I said?”

Usually, yes. But not what you thought.

✅ After: You mapped exactly where conversations died and discovered three consistent ghost points.

Ghost Point 1: After the “checking in” opener (42% drop rate)
Ghost Point 2: After price mention without context (67% drop rate)
Ghost Point 3: After generic “how can I help” questions (58% drop rate)

The drop-offs weren’t random. They were predictable. Which meant they were fixable.

Implementation:
  1. Export your last 20-50 DM conversations

  2. Mark the exact message where each died

  3. Look for patterns in your language, timing, or approach

  4. Rewrite those specific trigger messages

  5. Test new versions and track improvements


That’s it.

Here’s what you learned today:

→ Response speed matters differently at different conversation stages
→ Progress through stages beats total message count every time
→ Ghost points follow patterns you can identify and fix

Your prospects aren’t looking for perfectly crafted messages. They’re looking for someone who understands the conversation flow well enough to guide them naturally.

To start… pick your ‘Reply Speed Score’ and track it for the next 10 conversations.

Note when speed helps and when strategic pauses create space for decisions.


You’re not bad at DMs - but your tracking is.

When you can’t see what’s actually moving the needle, every conversation feels like gambling.

Today’s paid member mega-prompt helps you build a complete DM Performance Dashboard... without drowning in meaningless metrics.

Paid members get:

✓ Custom dashboard template with your 3 core metrics
→ Automated calculation formulas
→ Visual progress indicators
✓ Weekly analysis framework to spot patterns
✓ 5 pre-written bridge messages for common ghost points

Tired of guessing which DMs will convert? Upgrade now and see exactly what’s working... without tracking everything 👇🏾

Every paid member mega-prompt now comes in 3 formats:

• ChatGPT Version → Copy-paste friendly. Clean text format you can drop straight into ChatGPT.

• Claude Version → XML structured. Optimized for Claude (and other models that follow tags closely) so the output stays tight and consistent.

• Automation-Ready Version → JSON format. Built for builders who want to plug AI outputs into workflows like Zapier, n8n, Airtable, or APIs.

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