How to Identify Anonymous B2B Buyers on Your Store

Last quarter I pulled the analytics on one of my equipment stores and found something that still annoys me. Over ninety days, the page for a single $6,400 product had been viewed by people on 340 distinct networks. The quote form on that page had been submitted eleven times. Everyone else looked, priced it, and left, and I have no idea who most of them were.

That gap is normal, and in a high-ticket store it is expensive in a way it is not for a consumer brand. When your average order value is $200, a lost visitor costs you a small amount of margin. When it is $4,000 to $12,000 and a meaningful share of your buyers are businesses spending someone else’s budget, one recovered visitor can be the difference between a flat month and a good one. A contractor pricing a skid steer attachment, a facilities manager specifying safes for a building, a school district buying six of something: those people research for weeks, on and off, before anyone talks to you.

So the question is not whether identifying anonymous business visitors is theoretically valuable. It obviously is. The question is what these tools can actually do, what they cost against a real order value, what the law lets you do with the output, and whether you have anyone to act on the signal. I am going to be blunt about all four, including the part where a lot of stores should not buy any of this yet and should instead fix the form on their own product page. Everything below is general information rather than legal advice, and privacy rules differ sharply by country and by state, so check your own position before you act on it.

Understand the model these business buyers are actually buying into

Most high-ticket stores are losing B2B buyers at the form, not at the ad. My high-ticket dropshipping pillar guide explains the model those buyers are quoting against, why a $4,000 to $12,000 order runs through a quote rather than a checkout, and where the margin actually comes from. It is a long read on the site, not a download.

Read the high-ticket dropshipping guide →

Why This Matters More for a High-Ticket Store Than for a Software Company

Visitor identification grew up in B2B software, where the deal sizes justify a sales team and the buyer is always a business. High-ticket ecommerce is a stranger case, and the differences change the buying decision.

Your traffic is mixed. Some of it is a homeowner buying a generator for a cabin, and no identification tool will do anything useful with that person, nor should it. Some of it is a business, and that portion is the only part any of this applies to. On my stores the business share of traffic on the heaviest, most industrial product pages runs far higher than on the consumer-adjacent ones, which is exactly why you should measure your own split before you spend anything.

Your sales cycle is also longer than most ecommerce operators expect. A $9,000 purchase involves a quote, often a freight question, sometimes a purchase order and a net terms conversation. That is a sales process, not a checkout, and it is why the tools designed for software teams map onto this business better than they map onto a $40 product store. If you have not built that side of the operation yet, the high-ticket dropshipping model explained is the place to start, because visitor identification is useless without somewhere for the lead to go.

What Identification Actually Means, and the Two Levels You Are Choosing Between

The category has one name and two very different products inside it. Getting this wrong is the most common reason people pay for a year of something and cancel in month three.

Company Level Identification

This is the older and more widely available version. The tool takes the visitor’s network address, matches it against a database of business networks, and tells you that someone at Acme Fabrication looked at three product pages on Tuesday. It does not tell you who. In practice you get a company name, an industry, a rough size, a location and a page history.

For a high-ticket store this is genuinely useful in two ways. It tells you which industries are actually shopping you, which is often not the industries you assumed, and it lets you spot a company that came back four times in a week. It is also the version that works outside the United States, because it identifies an organization rather than a person.

Person Level Identification

The newer version tries to resolve a visitor to a named individual with a work email, usually by matching against consented data cooperatives. It is largely a United States product, the match rates are a fraction of your traffic rather than most of it, and the privacy exposure is materially higher.

My honest read after using both is that person-level output is more exciting and less reliable, and that the temptation it creates is the real risk. A named person who visited your site did not ask to hear from you, and an email that opens with “I saw you were looking at our log splitters” reads as surveillance to a lot of buyers. If you want the full argument on the tradeoff, EP already has a detailed breakdown of person-level versus company-level identification.

What Neither Level Can Do

Neither will identify everyone. Neither will identify a buyer on a phone on mobile data, which on my stores is a large share of traffic. Neither works on a residential connection, which means the contractor researching from his truck at seven in the morning is invisible and the same contractor at his office desk might not be. Any vendor implying otherwise is selling you a match rate they cannot hit. EP’s own primer on what website visitor identification is and is not goes deeper on the mechanics.

Do the Free Work First, Because Most Stores Are Leaking at the Form

Before you spend a dollar on identification software, spend two weeks on the signals you already own and are throwing away. Every store I have audited had at least three of these broken, and fixing them costs nothing.

Capture Partial Quote Requests

If your quote form collects name, company, email, phone, delivery zip and product, and a visitor fills in four fields and abandons, most stores capture nothing. Save the partial. A first name, a company and an email is a lead, and it is a lead who was interested enough to start typing. This one change has produced more identified buyers for me than any paid tool.

Turn On Real Business Accounts

If you are on Shopify, the native B2B feature set for company accounts lets you sell to businesses through the same store, with company profiles and buyer-specific pricing, currency, products and payment methods. Shopify’s documentation says these features are included on plans that support B2B capabilities and that most are on by default, so check what your plan covers. A business buyer who creates a company account has identified themselves voluntarily, which beats any inference a tool can make.

Make Tax Exemption an Onboarding Step

Resellers, farms, schools and non-profits often need a tax-exempt purchase. If your only path to that is emailing support, you are losing the ones who give up. Put a visible “buying for a business or tax-exempt organization” path on the product page and you convert an anonymous visitor into a named account with a certificate on file. Exemption rules vary by state and by entity type, so get the certificate handling right with your accountant rather than improvising it.

Read What You Already Collect

Your email platform knows which subscribers clicked through to the $9,000 product page. Your phone log knows who called and hung up. Your ad platform knows the click that preceded a long session. None of that is anonymous, and almost nobody looks at it. If you want a systematic way to think about the traffic side of this, EP’s guide on estimating traffic and revenue from public signals is a useful companion, because the same discipline applies to your own numbers.

The Tool Layer: What Each One Publishes and What That Costs Per Year

Here is what the vendors themselves publish, checked on their own pricing pages in September 2026. Where a company does not publish a number, I have said so rather than guessing, because a made up price is worse than no price. All figures are the vendor’s list pricing, and none of it includes what your team costs to act on the output.

Tool	What it identifies	Published entry price	Annualised
Leadfeeder, part of Dealfront	Company level	Lite free at €0/mo for up to 100 identified companies; Discover from €79/mo billed annually, €113/mo billed monthly	€948 on annual billing, €1,356 on monthly
RB2B	Person level, US focused	Free at $0/mo for 150 monthly resolutions; Starter $79/mo for 300; Pro $149/mo; Pro+ $199/mo	$1,788 a year on Pro
Warmly	Company and person level plus chat	AI Web-Deanonymization $10,000/year on annual billing, or $4,875 per quarter	$10,000 annually, or $19,500 if you paid four quarters
Albacross	Company level, Europe focused	Starter €59/mo billed yearly, €84/mo billed monthly; Professional €149/mo billed yearly	€708 a year on Starter annual, €1,008 on monthly
VisualVisitor	Company and person level	No public price list. The pricing page states that “Visual Visitors pricing is based on the number of successful identifications”	Not published, quote required
Apollo website visitor identification	Company level on the free plan, person level as an add-on	Not retrievable. The product page states “Company identification is available on the free plan” and that contact-level identification “requires the Inbound add-on”	Not published on the pages I could load

Now do the arithmetic that actually decides this. Say your average order is $4,000 and you clear 25 percent, so roughly $1,000 of gross profit per order. RB2B Pro at $149 a month is $1,788 a year, which is two extra orders. Leadfeeder Discover at €79 a month on annual billing is €948 a year, which is about one. Warmly’s entry tier at $10,000 a year is ten extra orders before you break even, and that is before anyone’s time.

Two more things worth noticing in that table. The monthly-versus-annual penalty is real: Leadfeeder Discover costs €408 more a year if you pay monthly, and Albacross Starter costs €300 more. And Warmly’s own page shows $10,000 a year against $4,875 a quarter, which annualises to $19,500. That is a $9,500 spread between two billing options for the same product, so if you go that route, get the term confirmed in writing before you sign.

If you want the deeper head-to-head on the two most commonly shortlisted options, EP has a full comparison of VisualVisitor against Leadfeeder. There is also a broader ranking in the five best visitor identification tools roundup.

A $1,788 tool is cheap. Having nobody to work the leads is what makes it expensive

RB2B Pro runs $1,788 a year and Warmly’s entry tier runs $10,000. Neither pays for itself without a follow-up process behind it. Coaching is where we build the quote funnel, the pipeline stages and the call script first, so the software has somewhere to send the signal.

Book a coaching session →

The Legal Line, and Why It Is Not the Same in Every Market

This is the section most vendor content skips. Identification is one thing. What you then do with it is regulated, and the rules differ by where your buyer is, not by where you are.

In the United Kingdom, the distinction that matters is between corporate subscribers and individuals. The Information Commissioner’s Office guidance on electronic mail marketing under PECR states plainly that “You can email or text any corporate body (a company, Scottish partnership, limited liability partnership or government body),” while marketing to individuals requires consent. The ICO still calls it good practice to keep a do-not-email list for businesses that object.

In the United States, commercial email is governed by CAN-SPAM regardless of whether the recipient is a business. The Federal Trade Commission’s CAN-SPAM compliance guide requires accurate headers, a non-deceptive subject line, identification of the message as an ad, a valid physical postal address, and an opt-out honoured within ten business days. The FTC states that “Each separate email in violation of the law is subject to penalties of up to $53,088.” That is per email, which turns a careless sequence into a genuinely bad afternoon.

California adds a layer. The state Attorney General’s CCPA overview gives consumers the right to opt out of the sale or sharing of personal information, describes sharing as covering cross-context behavioural advertising, and requires a clear and conspicuous “Do Not Sell or Share My Personal Information” link where applicable. If a tool on your site is resolving individuals and passing data around, that is a conversation to have with counsel, not something to infer from a vendor FAQ.

My practical rule, which is stricter than the law in some places: company-level signals inform how I prioritise and what I put in front of someone, and person-level identification never triggers an automated cold email pretending to be a coincidence. If you would not be comfortable saying out loud how you got the person’s name, do not send the message.

The Follow-Up Playbook That Makes the Spend Worth It

An identified account is not a lead. It is a prompt. Here is the sequence I run on my own stores, in order, and none of it requires a person-level match.

Filter to one high-intent page. Not the blog, not the homepage. The specific product page or the shipping and freight page. Everything else is noise and will bury you in alerts within a week.
Require a repeat visit. A single view means nothing. Two or more sessions in seven days is a signal worth acting on and it cuts the volume by roughly an order of magnitude.
Enrich manually before you contact anyone. Look the company up, find the right function, and decide whether they are a plausible buyer. Half the identified companies will be competitors, suppliers and agencies.
Lead with the freight answer. On heavy goods the unspoken question is almost always delivery, liftgate access and lead time. An email that answers that specific question outperforms anything referencing their browsing.
Log it in the pipeline, not a spreadsheet. If it does not have a stage and a next action, it does not exist. EP has a walkthrough for setting up a high-ticket pipeline in Zoho CRM if you need a structure to copy.
Review the quality weekly. Count how many identified accounts became conversations and how many became orders. If the answer after ninety days is zero, cancel the tool rather than renewing it out of hope.

Whoever runs that loop matters more than which vendor you pick. On my stores this is a delegated role, not a founder task, and I hire for it through OnlineJobs.ph with a written rule about what gets escalated to a call. If you would rather run it inside a proper sales tool, the Pipedrive review covers the CRM side for high-ticket deal flow.

When Not To Buy Any of This

I would skip the whole category, for now, in four situations.

Your traffic is mostly consumer. If you sell garden furniture to homeowners, the identifiable share of your traffic is small and the tool will mostly tell you which internet providers your customers use. Measure first.

You get fewer than a few thousand sessions a month. Identification is a percentage of a percentage. Below a certain volume the monthly output is a handful of companies, and you would find those faster by picking up the phone.

Nobody is going to work the list. This is the real killer. The tool produces a queue. If the queue has no owner, you have bought a dashboard. That is how most of these subscriptions die.

Your product pages do not answer the buying questions yet. If a business visitor cannot find freight terms, lead time, warranty and a purchase order path, identifying them does not help, because the reason they left is on the page. Fix the page first. Choosing the right category in the first place matters here too, and EP’s high-ticket niches list is a good sanity check on whether your niche has real business demand behind it.

Frequently Asked Questions

Is identifying anonymous website visitors legal?

It depends on the level of identification, on where your visitor is, and on what you do next. Company-level identification is widely used and less contentious than person-level resolution. Marketing to what you find is governed separately, by CAN-SPAM in the United States and by PECR and data protection law in the United Kingdom and Europe, both linked above. This article is general information, not legal advice, and the answer for your business depends on your markets.

What match rate should I expect?

Lower than the marketing implies, and highly dependent on your traffic mix. Mobile traffic, home connections and consumer visitors are largely unmatchable. The only number worth trusting is the one you measure on your own site during a trial, which is why the free tiers from Leadfeeder and RB2B are worth using before you commit to a paid year.

Can I just use Google Analytics for this?

No. Analytics tells you about traffic in aggregate. These tools attempt to attach an organisation or a person to a session, which is a different function. Use both. Analytics tells you what to fix, identification tells you who to call.

Does this work for a store selling to consumers as well as businesses?

Partially, and only on the business share. That is fine, and on a high-ticket store the business share is often the more profitable half, because those orders repeat and they are less price sensitive. Just do not budget as though your whole audience is addressable.

Which tool would you start with?

The free tier of a company-level tool, for ninety days, on one product page, with a written weekly review. Leadfeeder publishes a free Lite plan covering up to 100 identified companies a month and RB2B publishes a free plan at 150 monthly resolutions. Both are enough to answer the only question that matters at the start, which is whether your traffic contains identifiable businesses in useful numbers.

The Bottom Line

Identifying anonymous B2B buyers is a real capability and it is not magic. Company-level identification gives you an organisation and a page history, works internationally, and is cheap enough that a single recovered $4,000 order pays for a year of it. Person-level identification gives you a name, works mostly in the United States, matches a smaller slice of traffic, and carries a judgement problem that the vendors will not solve for you.

The order of operations is what most people get backwards. Fix the quote form so partials are captured. Turn on business accounts and a tax-exempt path. Read the first-party data you already have. Then, and only then, run a free tier for ninety days on one high-intent page and measure whether identified accounts turn into conversations. If they do, upgrade. If they do not, you spent nothing and learned something specific about your own traffic, which is worth more than another dashboard.

And be careful with the follow-up. The tools make it very easy to send an email that tells a stranger you have been watching them. On a $9,000 purchase, trust is most of the sale. Answer the freight question instead. That has worked better for me than any clever opening line, and it does not require you to explain how you got their name. If you want the whole business built this way from the start, my business formation checklist covers the legal and financial foundation. My supplier sourcing guide covers the other half.

Get a store built to convert business buyers, not just browsers

Quote request funnel, freight and lead time answers on the page, business accounts and a pipeline behind it. The done-for-you build ships with all of it in place, so the identification layer has something worth plugging into.

See the done-for-you store build →

If you are still deciding what to sell and to whom, everything I publish on the model lives at Ecommerce Paradise. And if you are running on Shopify already, the B2B features described above sit inside your existing Shopify plan on the tiers that support them.

Trevor Fenner

Trevor Fenner is an ecommerce entrepreneur and the founder of Ecommerce Paradise, a platform focused on helping entrepreneurs build and scale profitable high-ticket ecommerce and dropshipping businesses. With over a decade of hands-on experience, Trevor specializes in high-ticket dropshipping strategy, niche and product selection, supplier recruiting and onboarding, Google & Bing Shopping ads, ecommerce SEO, and systems-driven automation and scaling. Through Ecommerce Paradise, he provides free education via in-depth guides like How to Start High-Ticket Dropshipping, advanced training through the High-Ticket Dropshipping Masterclass, and fully done-for-you turnkey ecommerce services for entrepreneurs who want a faster, more hands-off path to growth. Trevor is known for emphasizing sustainable, real-world ecommerce models over hype-driven tactics, helping store owners build scalable, sellable, and location-independent brands.