If you're reading this, you probably want to know which companies are hitting your website, without drowning in bad data or wishful thinking. Lead tracking can be a mess—bots, false positives, and meaningless noise. Luckily, with some up-front work, you can squeeze real value from Leadforensics and skip a lot of the headaches. This guide is for marketers, sales ops, and anyone who’s tired of cleaning up after sloppy tracking setups.
Let’s get straight to it.
Step 1: Know What Leadforensics Can (and Can't) Do
Before you dive into settings and dashboards, let’s get clear on what you’re working with.
What it does well: - Identifies companies (not individuals) visiting your site by matching IP addresses to business data. - Shows you pages visited, time on site, and return visits. - Integrates with some CRMs, so you can push leads to sales.
Where it struggles: - Can’t reliably identify individuals—forget about seeing “John from IBM” unless John fills out a form. - Home/remote traffic is iffy. With more people working from home, you’ll miss some visits or mislabel them. - Data depends on third-party databases. Some companies won’t show up, and there will be false matches.
Bottom line: It’s useful, but not magic. Set your expectations accordingly.
Step 2: Install the Tracking Script Properly
You can’t track anything without the pixel on your site. This bit is non-negotiable.
How to do it:
1. Log in to Leadforensics and grab your unique tracking code.
2. Add it to every page you want to track—ideally, in the footer before the </body> tag.
3. Use a tag manager (like Google Tag Manager) if you want to keep things tidy and make changes without bugging IT.
Pro tips: - Double-check that your cookie policy and privacy notice are up-to-date. Leadforensics usually doesn’t track individuals, but it’s still good practice to disclose tracking tech. - Test the script with browser extensions or built-in tools to make sure it’s actually firing.
What to ignore: If someone tries to sell you “advanced” install services for a basic pixel drop, save your money.
Step 3: Exclude Yourself and Other Junk Traffic
You don’t want your own team showing up as hot leads. Same goes for agencies, partners, or anyone who shouldn’t be counted.
How to do it: - In Leadforensics settings, find “IP exclusions” or “Exclude traffic.” - Add all your office IP addresses, agency partners, and remote workers if you can. (You’ll need their IPs—ask IT.) - Exclude known bots and web crawlers. Leadforensics does some of this by default, but check their list and add any you see in your logs.
Pro tip: This step is never “one and done.” Whenever someone new joins, or your office moves, update the list.
What doesn’t work: Geofencing or filtering by country isn’t a great substitute—too much gets through. Stick with IP exclusion.
Step 4: Clean Up and Customize Your Company Data
Leadforensics will match IPs to companies using its own database. Out of the box, you’ll see a mix of real businesses, ISPs, and random junk (“BT Wholesale,” “Comcast,” etc.). Most of these aren’t leads.
Here’s what to do: - Regularly review the company data in your dashboard. - Set up filters to hide ISPs and known non-business visitors. - Use the tagging or classification features to flag high-value targets, competitors, or junk data.
Pro tip: Don’t waste time chasing every company. Focus on the ones that match your ideal customer profile (ICP). Mark the rest as “ignore” or filter them out.
What to ignore: The temptation to “capture everything.” More data isn’t better—clean, focused tracking is.
Step 5: Set Up Lead Scoring (But Keep It Simple)
Leadforensics lets you set up rules to score leads based on visit frequency, page views, and other behaviors. Don’t go nuts—simple is better.
How to start: - Choose a few key criteria: number of visits, time on site, pages viewed, specific pages (like your pricing or contact page). - Assign points based on what actually matters to your sales team. - Set up alerts for high-scoring leads, but limit notifications to avoid alert fatigue.
Pro tips: - Check in with sales after a couple weeks—are the “hot” leads actually hot, or just tire-kickers? - Iterate based on feedback. No scoring system is perfect on day one.
What doesn’t work: Overcomplicated scoring with dozens of rules. You’ll end up with false positives and a frustrated team.
Step 6: Integrate with Your CRM (Only If It Helps)
Leadforensics offers integrations with some CRM systems. This sounds great, but it’s easy to flood your CRM with junk if you’re not careful.
How to do it right: - Set up filters so only qualified leads (the ones you actually want to follow up with) get pushed to your CRM. - Test the integration with a few records before turning it loose. - Make sure sales knows where the data is coming from and what it means. Otherwise, they’ll ignore it.
Pro tip: If your sales team isn’t trained or doesn’t buy in, keep the leads in Leadforensics and share manually—at least at first.
What to ignore: The urge to “automate everything” from day one. Manual review beats automatic garbage.
Step 7: Monitor, Review, and Adjust Regularly
Lead tracking isn’t a set-it-and-forget-it thing. Traffic patterns change, your team changes, and Leadforensics updates its data sources.
Make it a habit to: - Review your lead list weekly. Cull the junk. - Revisit your IP exclusions and filters monthly. - Check your lead scoring rules every quarter. - Get feedback from sales—are they getting value, or just more noise?
Pro tip: Document your setup. When you move on or someone new joins, you’ll be glad you did.
Step 8: Avoid Common Pitfalls
A few traps catch most teams:
- Chasing vanity metrics. Big visit numbers look nice but mean nothing if they’re not your target customers.
- Ignoring false positives. Don’t let your team waste time on ISPs or irrelevant companies.
- Not involving sales early. If you track leads no one cares about, your system will get ignored.
- Overcomplicating things. Simple, clean setups work best. Fancy dashboards don’t make up for bad data.
Keep It Simple, Iterate, and Stay Skeptical
The best lead tracking setups are never static. Start with the basics, make sure you’re actually seeing useful companies, and only add complexity if it helps your team close more deals. Don’t let shiny features or big promises distract you from what matters: actionable, accurate data.
Keep it practical, check your assumptions, and don’t be afraid to prune ruthlessly. Good luck out there.