Chapter 3 – How to optimise my statistics ?

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Optimising LinkedIn stats

LinkedIn is often the most effective channel in multichannel outreach but only if it’s used strategically.

The first thing to understand is that LinkedIn imposes strict limits on how many invitations you can send each week. In most cases, it’s around 100 invitations per week per account, which means each request you send needs to count.

Your objective isn’t to connect with as many people as possible, but to maximize your acceptance rate. A good benchmark is 30–40% or higher. If you’re below that, chances are that your profile or your message isn’t convincing enough, or you’re simply targeting the wrong people.

To improve your acceptance rate, focus on:

Your LinkedIn profile
Before sending any invite, leads will look at your profile. Make sure it’s clear, trustworthy, and aligned with your audience. Your title, headline, description, banner image, and even your recent posts can all influence whether someone clicks “Accept.” A profile that looks like a real person, not a sales bot, makes all the difference.
Your connection message
Keep it short, human, and relevant. Avoid long pitches. If you’re contacting Heads of Sales, for instance, a one-liner that mentions their role or industry will often perform better than a generic intro. You’re not trying to sell, you’re trying to connect.
Social Warm-Up
Before you even send the connection request, you can increase your chances of being accepted by warming up your audience socially. The more familiar your name or face is, the more likely people are to accept your invitation and respond.
→ Like, comment, or engage with their posts.
→ Post content of your own to build visibility.
→ Run awareness campaigns via LinkedIn Ads for high-value segments. This strategic visibility doesn’t replace targeting or good copy, it enhances both.
Your lead segmentation
Even with the best profile and message, you won’t get results if you’re contacting the wrong people. Optimizing LinkedIn starts with selecting leads that match your ICP precisely. Go beyond job title: consider company size, market stage, funding, or geographic focus. Sending a single generic message to 1,000 mixed leads will never perform as well as 3 tailored messages to 3 refined segments.

In La Growth Machine, several features help you directly improve your LinkedIn performance metrics :

Magic Message: Auto-generate personalized connection messages that feel human and relevant, adapted to the lead’s role and campaign context.
Visit Profile block: Add a warm-up step before the invite, this automatically visits your lead’s profile, increasing familiarity and boosting acceptance.
Intent data Import: Import leads that are already active on LinkedIn (commented a post, participate to an event, liked a post, followed your company)
Lead Database: Use the LGM lead database to find verified LinkedIn profiles matching your target persona, without relying on noisy data exports.
Lookalike feature: Automatically generate new leads similar to those who already accepted or replied positively, this makes it easy to double down on what works.
Filters & exports: Monitor your acceptance and reply rate directly from campaign performance, and export to refine by persona or campaign angle. These features work together to help you turn a limited LinkedIn quota into a high-yield channel, by sending better invites, to better people, with better timing.

Optimizing emails stats

Email remains one of the most powerful outbound channels but only if your messages actually reach the inbox, get opened, and spark interest.

Optimizing your email performance means tracking four key metrics: bounce rate, open rate, click rate, and reply rate, and taking technical + strategic actions to improve each.

Let’s break it down.

Bounce Rate — Are your emails reaching real people?

High bounce rates damage your domain reputation and impact long-term deliverability.

Benchmarks (based on volume):

<7% → low risk.
7–12% → acceptable.
12–20% → at risk (especially over 200 emails/day).
20% → dangerous.

To reduce bounce rate:

Verify your list: Use tools like Bouncer, ZeroBounce, or NeverBounce before importing.
Disable “catch-all” emails: More enrichment = more risk. Monitor bounce rate carefully.
Check domain health: Tools like MxToolBox help assess reputation and blacklist status.

Open Rate — Are your emails seen?

Your open rate tells you whether your emails are being delivered and opened.

A good open rate is the result of two combined factors: a clean technical setup and solid copywriting.

Benchmarks:

Below 60% → bad: check your technical setup or rethink your copy.
60–80% → average: technically okay, room to improve segmentation or subject lines.
Above 80% → excellent.
100% → suspicious: probably due to automated tracking (e.g. HubSpot opening emails or an antivirus).

To improve your open rate:

Warm up your domain: New domains need to build trust. Start with low volume and increase slowly.
Configure SPF & DKIM: Use LGM’s verifier to ensure everything is properly set up.
Use a custom tracking domain: Avoid sharing LGM’s default domain. Without it, your deliverability depends on other users’ actions.
Limit volume: Stay under 300 emails/day per sender. Avoid spikes.
Avoid spammy language: Test your emails with Mail-Tester to flag risky terms.
Work on subject line, sender name, and preview text: These are the first things your lead sees — treat them like ad copy.
Warm up your leads: Before emailing, nudge them on LinkedIn (visit profile, like post) or with pre-sequence brand ads.

Click Rate — Are your leads curious?

Click rate is a strong indicator of interest, especially when your emails link to case studies, demos, or pages with lead magnets.

Benchmarks:

0% → likely forgot to activate tracking.
5–8% → good.
Above 8% → excellent.

To improve your click rate:

Use hyperlinks: Never paste raw URLs. Link from a phrase (e.g. “here’s the breakdown”).
Segment precisely: The content of your link must match your audience’s pain or curiosity.
Avoid using multiple links: One single, well-placed CTA is better than three weak ones.
Use custom tracking domains: Same rule as open rate — shared tracking = lower reputation.

Reply Rate — Are your emails driving conversations?

Reply rate is your most important metric — it’s the gateway to actual sales conversations. A good reply rate comes from high-quality leads and messages that invite a response.

Benchmarks:

Below 10% → poor: rethink segmentation or tone.
10–20% → average.
Above 20% → strong performance.

To improve your reply rate:

Enrich your leads: No verified email = no reply. LGM offers verified enrichment with 2–5% margin of error.
Segment small and smart: Use Sales Navigator, Boolean filters, and firmographic logic to create focused audiences.
Stick to one value per message: Avoid overwhelming with info. One idea = one message.
Use a conversational CTA: Start soft. First emails should ask open-ended questions, not pitch calls.
Use icebreakers & custom attributes: Especially in early-stage leads or high-value targets.
Use LGM Spins: When targeting Outlook users (common in large companies), activate “spins” to bypass spam filters.
Warm up your leads across channels: Build familiarity with LinkedIn visits, soft touchpoints, or brand ads before the email hits their inbox.

In summary, email optimization is not just about writing better, it’s about setting up a solid infrastructure, staying under the radar, and aligning every element (technical, strategic, creative) with your segment. La Growth Machine gives you the tools to monitor and act at each level.

Optimizing Call Tasks

Introduction

Call tasks are the most direct and human touchpoint in your sequence. But they’re also the hardest to get right: you need timing, precision, and a sharp structure to get results, especially if you’re aiming for conversion, not just connection.

In La Growth Machine, call tasks are visible directly in your performance dashboard, with 4 key metrics:

Leads contacted: total number of calls triggered in the sequence.
Leads unreachable: those you couldn’t reach by phone.
Replied: those who answered and engaged.
Leads won: those converted during or after the call.

Your goal isn’t just to reduce the “unreachable” rate, it’s to build conversations that convert, even if the call doesn’t lead to an instant deal.

When do you call ?

If your unreachable rate is high, the problem is often timing or data quality.

To improve:

Call during optimal windows: Late mornings (10–11:30am) and early afternoons (2–4pm) tend to perform better.
Avoid calling right after emails or LinkedIn messages unless the lead has shown signs of activity. Prioritize warm leads.
Use good phone data: Ensure your enrichment includes valid mobile or direct numbers.

Use a script

A good sales call is not a pitch, it’s a discovery and qualification tool. Based on the recommended structure from the article, aim for a flow like this:

Opening (30 sec)
Be human. Start with your name, your intent, and check availability.
“Hi {firstname}, it’s {{your name}}. I know this is a bit out of the blue — do you have 30 seconds?”
Context (1 min)
Remind them why you’re calling, especially if it’s following a multichannel sequence.
“We’ve been in touch on LinkedIn — I thought I’d give you a quick call.”
Value hook (2–3 min)
Share one key value based on their profile or problem. Don’t pitch your whole product.
Discovery (2–5 min)
Ask questions to understand their context and qualify interest.
“How are you currently handling X?”
“Are you the one in charge of Y?”
Close (1 min)
Suggest next steps only if the interest is clear — ideally, book a meeting or agree to follow up.
“Would it make sense to dig into this on a short demo with the team?”

What does a “good” call rate look like?

There are no hard benchmarks for calls as results depend heavily on your ICP and timing but based on our experience:

Aim for at least 25–30% of answered calls to turn into a next step (meeting, trial, etc.).
Track your unreachable rate: above 50% may indicate data or timing issues.
If calls aren’t converting, review your message history maybe the lead wasn’t qualified enough for a phone follow-up.

Calling is high effort so it should be high reward. Use it at the right time, with the right script, on the right leads.

Now, let’s move on to our next module : Building a lead machine!

Chapter 3 – How to optimise my statistics ?

Optimising LinkedIn stats

Optimizing emails stats

Bounce Rate — Are your emails reaching real people?

Open Rate — Are your emails seen?

Click Rate — Are your leads curious?

Reply Rate — Are your emails driving conversations?

Optimizing Call Tasks

Introduction

When do you call ?

Use a script

What does a “good” call rate look like?

Module 1 - Defining my targets

Module 2 - Building my database

Module 3 - Enriching my database

Module 4 - Automating my outreach

Module 5 - Managing replies & optimizing my performance

Module 6 - Building a lead machine