How to analyze visitor company data using Visitor Queue reports

If your job is to figure out which companies are visiting your website—and you want to do something useful with that info—this guide’s for you. We’ll skip the sales pitch and get right to the point: how to actually use Visitor Queue reports to spot real opportunities, avoid common traps, and save yourself a lot of wasted time.

Visitor Queue is a B2B website visitor identification tool (here’s the link). It tells you which companies hit your site, what pages they looked at, and sometimes, even a bit about who they are. But just having company names in a spreadsheet isn’t the same as knowing what to do next. So let’s break down how to analyze the data, step by step.


Step 1: Get Your Data—But Don’t Drown in It

First, log into Visitor Queue and pull up your latest reports. You’ll see a list of companies, page views, visit dates, and possibly some contact details. Here’s the thing: most of these companies won’t matter to you. A lot will be junk traffic, students, or folks who bounced fast.

What to focus on:

  • Companies that fit your target customer profile (industry, size, location, etc.)
  • Multiple visits or visitors from the same company
  • Page visits that show intent (pricing, demo, contact, or key product pages)

What to ignore:

  • ISPs, universities, or obviously irrelevant organizations
  • One-off visits to your homepage with no engagement
  • Sketchy “company” names you can’t verify (these are often bots)

Pro tip: Don’t bother exporting the full CSV every week unless you actually use the data. Start with the dashboard and filter ruthlessly.


Step 2: Set Up Filters and Segments

Visitor Queue lets you filter by company size, location, web pages visited, and more. If you’re not using filters, you’re just eyeballing noise.

How to cut through the clutter:

  • Use filters to show only companies from regions you sell to.
  • Segment by industry if you have a niche.
  • Exclude known customers, partners, or competitors (they’ll show up, but probably aren’t leads).

Why this matters:
If you’re in SaaS and only sell to North American mid-market teams, a random pageview from a small business in Romania is just background static. Build saved segments for your ICP (ideal customer profile) and check those first.


Step 3: Dig Into Visit Details—But Don’t Overthink

Click into a company to see their visit history. Here’s what to actually look for:

  • Number of visits: More than one? That’s a good sign.
  • Pages viewed: Did they check out your pricing, features, or case studies? Or just the blog?
  • Time on site: A few minutes is better than a few seconds.
  • Repeat visitors: Different people from the same company over multiple days? Even better.

Red flags:

  • All visits are to the blog or careers page—probably not a buyer.
  • Visits at odd hours or in weird patterns—could be bots or scrapers.

The trick is to avoid reading too much into a single visit. One pageview doesn’t mean buying intent.


Step 4: Match Companies to Your Outreach List

Now for the useful part. Cross-reference the companies that look promising with your CRM or prospecting tools. Are these net new accounts, or existing deals coming back to sniff around?

Workflow example:

  1. Export filtered Visitor Queue data.
  2. Use LinkedIn or your CRM to check if you’ve already engaged the company.
  3. If not, find the right contact at that company—don’t just spam the info@ address.

Pro tip: Visitor Queue sometimes includes suggested contacts. Take these with a grain of salt—they’re often scraped from LinkedIn or company sites and might not be up to date. Always verify before reaching out.


Step 5: Spot Trends, Not Just Individual Leads

Don’t get tunnel vision. Some of the best insights come from patterns:

  • Are certain industries suddenly showing up more?
  • Did a spike in visits follow a new campaign or blog post?
  • Are companies from a specific region spending more time on product pages?

You can use Visitor Queue’s reporting features to spot these trends over time. But don’t obsess over every blip—look for consistent patterns over weeks, not days.

What’s overrated:
Trying to track every single company and over-personalizing outreach based on a single visit. Focus on repeat behaviors and clusters.


Step 6: Take Action—But Keep It Human

Once you’ve got a shortlist of real potential companies, it’s tempting to blast them with automated emails. Resist that urge. No one likes to get a “Hey, noticed you visited our website…” message out of the blue.

Better approaches:

  • Use the knowledge to time your outreach (“We’re seeing more interest from companies like yours this month…”).
  • Reference relevant pages they visited, but don’t be creepy (“I thought you might be interested in our recent case study on X…”).
  • If you have an existing relationship, use the visit as a nudge to check in.

What to skip:
Don’t mention Visitor Queue in your outreach (“We saw you on our Visitor Queue report…”). It’s weird and feels invasive.


Step 7: Review, Adjust, and Stay Sane

Set a recurring time—maybe weekly or biweekly—to review your Visitor Queue reports. Don’t make it your main job unless you’re seeing real results.

  • Review which companies actually moved forward after visiting.
  • Adjust your filters and segments if you’re getting too much junk.
  • See if certain campaigns or content are driving higher-quality visits.

If you’re not getting value:
Take a break or rethink your process. Not every website gets enough B2B traffic to make this worthwhile. It’s better to check less often than to waste time on weak signals.


Pro Tips and Honest Warnings

  • Don’t expect email-level attribution: You’ll rarely know exactly who visited, just which company network. It’s not magic.
  • Visitor Queue isn’t perfect: Some companies mask their IPs, and a lot of traffic ends up as “unknown.” That’s true for all tools like this.
  • GDPR and privacy: You’re seeing company-level data, not personal info, but always use this responsibly.

Keep It Simple, Iterate, and Don’t Overthink

Here’s the bottom line: Visitor Queue reports can be genuinely useful if you focus on quality over quantity. Don’t let the volume of data distract you from the 1-2 signals that actually matter for your business. Start with basic filters, watch for real intent, and use the info to have smarter, more timely conversations. If you’re not seeing results, tweak your approach or check less often.

The best path is to keep your process simple, learn what works for your team, and revisit as your needs change. No need to make it harder than it is.