If you’re running campaigns in Lagrowthmachine and want real answers—what’s working, what’s not, and where to focus—this guide’s for you. Maybe you’re new to the tool, or maybe you’re tired of surface-level dashboards that look impressive but don’t actually help you improve. Either way, here’s how to get the data that matters, cut out the noise, and make your campaigns better—step by step.
1. Know What Metrics Actually Matter
Before you even open Lagrowthmachine, get clear on one thing: Not all metrics are useful. Some look fancy but tell you nothing about whether your campaigns are actually landing. Here’s what’s worth tracking:
- Deliverability: Are your messages making it to inboxes (not spam or some void)?
- Open Rate: Are people even glancing at what you send?
- Reply Rate: Are you starting conversations, or just yelling into the void?
- Positive Reply Rate: Are replies actually interested, or just “Unsubscribe”?
- Conversion Rate: Are those conversations turning into real leads or demos?
- Bounce Rate: Are you burning through bad emails?
Ignore “vanity metrics” like total messages sent or profile views. They’re easy to inflate but don’t move the needle.
2. Set Up Campaign Tracking in Lagrowthmachine
Now, open up Lagrowthmachine. The platform’s designed for multichannel outreach (think LinkedIn, email, Twitter). Here’s how to make sure you’re set up to actually track your metrics:
a. Build Your Campaign with Tracking in Mind
- Define your goals upfront. Are you aiming for booked calls? Email replies? LinkedIn connections?
- Name your campaigns clearly. Don’t call it “Test Campaign 4.” Use names that tell you what and who (“Q2 SaaS CEOs – Email+LinkedIn”).
- Tag your leads. Use tags aggressively so you can break down results later (by segment, channel, or offer).
b. Turn On (and Check) Tracking
- Email tracking: Make sure open and reply tracking is enabled for every sequence. Lagrowthmachine does this by default, but double-check in campaign settings.
- LinkedIn tracking: You’ll get data on connection requests, responses, and replies. It’s not as granular as email, but good enough.
- Custom tracking: If you’re sending to landing pages, use UTM parameters so you can tie back conversions.
Pro tip: Don’t trust any tool’s tracking blindly. Always send a test to yourself or a colleague to make sure opens/replies are being logged.
3. Find and Understand Your Campaign Metrics
Lagrowthmachine’s reporting dashboards are decent, but you have to know where to look (and what’s missing).
a. The Dashboard: What to Use
- Overview: This shows open, reply, and conversion rates for each campaign. Good for a quick gut check.
- Step-by-step breakdown: Lets you see which step in your sequence is actually getting opens or replies.
- Lead stats: Drill down to see which leads replied, bounced, or never engaged.
b. What to Ignore
- “Impressions” on LinkedIn: These are mostly noise. Focus on replies, not just profile views.
- Aggregate stats across all campaigns: Unless you’re running one big campaign, these are usually too broad to help you improve.
c. Export Data for Better Analysis
Lagrowthmachine will let you export campaign and lead-level data as CSV. Use this if you want to:
- Slice data by segment, tag, or message step.
- Spot patterns (e.g., “Step 2 LinkedIn messages get more replies than Step 1 emails”).
- Import into a real analytics tool (Excel, Google Sheets, whatever you prefer).
Pro tip: If you’re running more than a couple of campaigns, always export and review in a spreadsheet. The in-app dashboards get clunky fast.
4. Analyze—Don’t Just Admire—Your Metrics
Here’s where most people go wrong: They look at “reply rate” and either celebrate or panic. That’s not analysis. Here’s how to actually learn from your results:
a. Compare Across Segments
- Are certain industries or titles replying more?
- Does one channel (email vs. LinkedIn) drive more positive replies?
- Are your “personalized” emails really outperforming templates?
b. Look at Sequence Steps
- Which step gets the most replies? If Step 3 is killing it, you might move that message earlier.
- Where are people dropping off? High bounce or unsubscribe at Step 1? Rework your opener.
c. Quality Over Quantity
- Don’t just track “replies”—track positive replies. A “Not interested” or “Remove me” doesn’t help you.
- Lagrowthmachine doesn’t automatically tag replies as positive or negative. You’ll need to review manually—or set up a workflow to mark them.
d. Watch for False Positives
- High open rates with low replies? Your subject lines are fine, but your copy isn’t landing.
- High reply rates but no conversions? Maybe your ask is too weak, or you’re attracting tire-kickers.
Pro tip: Don’t obsess over tiny differences. If your reply rate is 12% vs. 13%, that’s just noise. Look for big swings.
5. Iterate: Test, Change, Repeat
Tracking is useless if you don’t use the data. Here’s how to turn metrics into something actionable:
- A/B test subject lines and messages. Run two versions of a campaign, see what actually improves.
- Change one thing at a time. If you tweak everything, you’ll never know what worked.
- Document what you tried. Seriously, write it down. Otherwise, you’ll just repeat the same mistakes.
- Don’t be afraid to kill underperforming campaigns. If something’s flopping, stop it. Don’t “let it run” hoping for a miracle.
6. Common Pitfalls (And How to Avoid Them)
- Chasing open rates: Opens are nice, but replies and conversions pay the bills.
- Over-complicating your campaigns: More steps and channels aren’t always better. If you can’t track it, you can’t improve it.
- Ignoring deliverability: If your bounce rate spikes, your whole campaign will tank—no matter how good your copy is.
- Relying only on in-app dashboards: They’re fine for a glance, but export your data for real analysis.
7. Tools and Integrations That Can Help
Lagrowthmachine plays reasonably well with other tools, but don’t expect miracles. Here’s what’s worth connecting:
- CRM integration: Sync leads and replies to your CRM (HubSpot, Pipedrive, etc.) to track what happens after the reply.
- Zapier or Make: For custom workflows or notifications. Don’t overcomplicate it.
- Google Sheets: Still the gold standard for custom reports and quick analysis.
Skip fancy “AI analytics” add-ons. Most of them create more noise than insight.
8. Keep It Simple and Keep Improving
You don’t need a PhD in statistics to understand campaign performance. Focus on tracking the basics: are people seeing, replying, and converting? Use Lagrowthmachine’s built-in tools to get started, but don’t be afraid to export and do your own analysis once things get complex.
Keep your process simple: set clear goals, track the metrics that matter, learn from your results, and repeat. Cut what isn’t working. Double down on what is. That’s how you get better, campaign by campaign.