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Chapter 2 – How to analyse my performance ?

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Introduction

Getting replies is not the goal. Getting clarity is.

When someone answers your message, whether it’s a “Yes,” a “No,” or a vague “Tell me more”, your real job begins: understanding what that reply means. Are they genuinely interested? Are they curious but not a fit? Are they just being polite?

Qualifying is the process of answering one simple question: Is this lead worth pursuing further? Your ability to read and qualify these replies correctly is what separates random conversations from real pipeline.

Here are a few typical cases you’ll face:

  • A positive but generic reply (“Sounds cool!”): don’t celebrate too fast. Try to uncover their level of intent.
  • A polite deflection (“Not the right time”): not a No, but not a Yes either. This is where you explore the timing or use case.
  • A technical objection (“We already use another tool”): an opportunity to differentiate — if the rest of the criteria make them a good fit.

 

Qualification is not just for salespeople looking to book meetings. It helps you prioritize, personalize, and just as importantly, disqualify when needed.

Unqualified leads can kill your focus. Qualified ones? They drive your results.

How to qualify leads inside La Growth Machine ?

La Growth Machine doesn’t use rigid labels like “Positive” or “Disqualified.” Instead, it offers a flexible workspace that adapts to your use case.

Here’s how it works:

  • Tags are tied to campaigns

  • Each lead can only have one qualification tag per campaign. If the same person replies to two different campaigns, they can receive different tags in each, allowing you to evaluate success campaign by campaign.

  • Qualification begins with “To Qualify”

  • As soon as a lead replies to your campaign, they are automatically tagged as “To Qualify.” This is your signal to manually assign a more specific tag based on the content of their reply.

  • Available tags include:

    • Interested
    • Wrong Timing
    • Call Booked
    • Negotiating
    • Converted
    • Already Equipped
    • Wrong Target
    • Not Interested
    • Ready to Buy
    • Cannot Contact (e.g., unsubscribed)

 

These tags are grouped under categories like Replied, Won, and Lost, which you can use to measure campaign outcomes. For example: “Out of 150 replies, 30 leads were tagged as Interested → 20% win ratio.”

  • Qualification directly from the Inbox

    You can tag leads directly from the Inbox view, and the tag will be linked to the last campaign that contacted the lead. This allows you to qualify in real-time as you handle replies, without switching interfaces.

  • Tags trigger actions

    • Trigger CRM updates (e.g., change lifecycle stage)
    • Launch Zapier or API workflows
    • Log qualification events into your CRM
  • Out-of-Office automation

    LGM detects Out-of-Office replies and automatically tags those leads. The sequence pauses until three days after their return date (if available), or indefinitely if not.

 

In short, qualifying your leads with tags lets you organize your replies with real sales meaning, accurately measure your campaign performance and automate follow-ups and CRM syncs.

It’s not just about knowing who replied. It’s about knowing what to do with each reply.

How to understand reach & performance ?

Understanding Reach

Before analyzing your results, start with a basic but critical question: did your messages reach anyone?

You can’t optimize what hasn’t been seen.

Globally, “reach” refers to how successfully your outreach gets delivered and seen across both LinkedIn and email. This includes:

  • On LinkedIn: whether your connection requests are accepted.
  • On email: whether your messages are delivered, opened, or bounce.

 

A campaign with poor reach doesn’t necessarily mean your messaging is off, it could mean your domain isn’t warmed up, your LinkedIn profile isn’t optimized, or your list is outdated. If people don’t see your messages, they can’t reply.

In La Growth Machine, you can get reach insights by exporting your campaign data. The export provides detailed line-by-line information, including:

  • Whether a LinkedIn connection request was sent and accepted
  • Whether emails were sent and opened (if open tracking is enabled)
  • The number of touches (email or LinkedIn) sent before the lead replied

 

This gives you the ability to segment your campaigns not just by volume, but by real exposure. You’ll know exactly where the friction starts before the performance phase even begins.

Understanding Performance

Once you’ve confirmed that people are seeing your messages, it’s time to assess how they’re reacting.

There are two types of stats in outbound:

  • Top-of-funnel (what you send) : volume, visibility, and touchpoints.
  • Bottom-of-funnel (what replies) : engagement, interest, and conversion.

 

In the early stages, it’s the top that tells you where things break:

  • Low connection rate? Likely a targeting issue or an unconvincing LinkedIn profile.
  • Low open rate? Your subject line may be weak or your domain reputation is poor.
  • Low reply rate? Your messaging might be off, too generic, or poorly timed.

 

These numbers are not just KPIs, they’re feedback loops. They tell you what needs fixing.

But don’t drown in data. Focus on what actually drives learning:

  • LinkedIn acceptance rate : Are your profiles convincing enough to get connections? Or is it the right profile to contact this leads?
  • Email open rate : Are your messages even being seen?
  • Positive reply rate : Are you targeting the right people with the right message?

 

Once you’ve got a baseline, dig deeper:

  • What persona replies the most?
  • Which industries convert better?
  • Are smaller companies engaging more than large ones?

 

La Growth Machine gives you access to this level of granularity through its filters and campaign exports. By analyzing step-by-step reply data, per channel and per lead, you can track what works, where, and for whom.

In LGM csv exports, you’ll find columns for:

  • If you’re connected with each lead, with the connection date indicated
  • The number of times each lead opens your email, with the last date of the last email open
  • The number of times each lead clicked on your email, with the last date of the last email click
  • The reply date and the content of the reply
  • The status of the lead in the campaign
  • The Lead Qualification status – helpful to qualify opportunities

 

You can even layer this with qualification tags (e.g. “Interested,” “Not Interested”) to understand not just who replied, but who’s converting.

Most important of all: reading stats should lead to actions.

If a sequence underperforms, don’t just watch it fail — adjust.

Change your message. Rethink your timing. Shift channels. Test a new angle.

Stats aren’t reports. They’re diagnostic tools for better decisions.

Now, let’s move on to Chapter 3 : Optimising your statistics!

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