How to track and analyze B2B outreach performance with ScrapeLi analytics

If you’re doing B2B outreach and have no clue what’s working, you’re not alone. Most folks blast out LinkedIn messages or emails, cross their fingers, and hope for replies. But if you want real results—and to stop wasting time on stuff that doesn’t move the needle—you need to track what’s happening. This guide shows you how to use ScrapeLi analytics to get actual answers, not just feel-good numbers.

This is for sales teams, founders, or anyone who wants to stop guessing and start improving their outreach. No fluff, no magic bullets—just practical steps.

Step 1: Set Up ScrapeLi and Get Your Data Flowing

First, let’s get the obvious out of the way: you can’t analyze what you don’t track. ScrapeLi pulls contact, message, and engagement data from LinkedIn (and sometimes email, depending on your setup). Here’s how to get rolling:

  • Connect your LinkedIn account. ScrapeLi needs access to your LinkedIn to scrape data—yes, that means logging in and giving permissions.
  • Define your outreach campaign. Tag your messages or create lists so you can track different campaigns separately. If you’re just blasting everyone, you’ll have a mess later.
  • Sync regularly. Data only stays fresh if you sync it. Set up automatic syncing if you can, or make it part of your weekly routine.

Pro tip: Don’t overcomplicate things. Start by tracking just one campaign or list, get used to the workflow, then scale up.

Step 2: Know Which Metrics Actually Matter

ScrapeLi spits out a ton of data, but most of it won’t help you. Here’s what’s actually worth paying attention to:

  • Connection request acceptance rate: How many people accept your invites? If this is low, your targeting or initial message may be off.
  • Reply rate: Of those who connect, how many reply to your first message? This is your best indicator of real interest.
  • Positive response rate: Out of replies, how many are actually positive (not just a polite “no”)? ScrapeLi tries to auto-tag these, but double-check—AI isn’t perfect.
  • Meetings booked: The only number that really matters in most B2B outreach. If you can track this via tags or notes in ScrapeLi, do it.

Ignore:
- Profile views, likes, or “engagement” metrics—these might look nice, but they rarely move deals forward. - Message volume—sending more doesn’t mean better results. In fact, it can tank your acceptance and reply rates.

Step 3: Track Performance Across Different Campaigns

You want to know what’s working—not just in general, but broken down by campaign, persona, or message type.

  • Create separate campaigns or tags in ScrapeLi for each target group or message variant.
  • Compare acceptance and reply rates across these slices. If one group outperforms the others, double down there.
  • Look for patterns. Are certain job titles or industries more responsive? Does a shorter message get more replies? ScrapeLi’s filters help here.

Reality check:
You don’t need a PhD in statistics. Just look for big differences. If one campaign gets 3x the replies, don’t overthink it—copy what’s working.

Step 4: Use ScrapeLi’s Analytics Dashboard—But Don’t Drown in Charts

The ScrapeLi analytics dashboard is where most people get lost. Here’s how to keep it simple:

  • Stick to the summary view. Focus on campaign-level breakdowns first. Save the deep dives for when you actually have questions.
  • Set up weekly or monthly comparisons. This shows if you’re improving or just spinning your wheels.
  • Export data if you need to. Sometimes it’s easier to glance at a CSV in Excel/Sheets than click around a dashboard.

What to ignore:
- Overly granular charts (e.g., “connection requests sent per hour”) unless you have a specific reason. - Sentiment analysis features—ScrapeLi’s AI is getting better, but don’t bet your strategy on it 100%. Use it as a hint, not gospel truth.

Step 5: Actually Act on What You Find

Here’s where most people drop the ball. Data means nothing if you don’t change something based on it.

  • Low acceptance rate? Rethink your targeting or try a different connection note.
  • Low reply rate but high acceptance? Your follow-up message probably needs work.
  • High reply rate but low meetings booked? Your pitch is getting attention but not closing—tighten your call to action or qualify harder.
  • One campaign is crushing it? Shift more effort there, or test why it’s working.

Don’t:
- Change everything at once. Tweak one variable at a time so you know what moved the needle. - Chase vanity metrics. Booking meetings and starting real conversations are what pay the bills.

Step 6: Build a Feedback Loop (Without Turning Into a Spreadsheet Zombie)

You don’t need a 50-tab spreadsheet or a weekly “data review” meeting that everyone dreads. Keep your process lightweight:

  • Review your numbers once a week. Ten minutes is plenty if you’re tracking the right stuff.
  • Set one or two action items. For example: “Test a new intro message,” or “Focus on SaaS founders this week.”
  • Rinse and repeat. Outreach is a moving target. Keep testing, keep adjusting.

Pro tip:
ScrapeLi can’t fix a bad offer or a boring message. Use data to guide you, but don’t forget: people respond to relevance, not just volume.

What Works, What Doesn’t, and What to Ignore

Let’s cut through the noise:

  • Works:
  • Comparing campaigns side by side
  • Focusing on reply and meeting rates, not just connections

  • Small, regular tweaks

  • Doesn’t work:

  • Blindly trusting AI sentiment analysis
  • Obsessing over tiny fluctuations

  • Treating every metric as equally important

  • Ignore:

  • Anything you wouldn’t actually use to change your approach
  • “Social selling” engagement stats unless you’re actually seeing business from them

Keep It Simple—and Iterate

Don’t let analytics turn into busywork. ScrapeLi is a tool, not a strategy. Track what matters, act on what you see, and resist the urge to complicate things. Start small, make one change at a time, and keep moving forward. The goal isn’t to have a perfect dashboard—it’s to get better results, one experiment at a time.