Tailor AIUse Case Β· Revenue Marketing & ABM
Your best accounts are already visiting. Most leave without you knowing.
Last updated March 13, 2026
You are spending real money to create intent. Paid campaigns, content, events, outbound. Visitors arrive, and the vast majority see a generic page that says nothing about their company, their industry, or the problem they came to solve. They leave. You never know they were there.
This is not a data problem. It is an activation problem. The signal is available. The gap is between knowing a company visited and doing something about it in the same session.
Built for
Revenue Marketing, ABM, Demand Gen, and GTM/Marketing Ops teams at B2B SaaS companies that already have paid and SDR motions working.
The problem
Marketing creates intent, but too much of that intent dies on the vine. You cannot identify it, route it, personalize for it, or prove what happened downstream.
The problem
You are creating intent and then wasting it.
Your paid campaigns, content programs, and outbound sequences are generating traffic from real companies. Some of those companies are on your target account list. Some are in your ideal customer profile. Most are anonymous. They visit, they see a generic page, and they leave.
Meanwhile, your SDRs are manually researching the same accounts you are already paying to attract. Your ABM programs run on stale intent data from third-party vendors. Your landing pages say the same thing to a Series A fintech and a Fortune 500 bank.
The result: marketing is spending to create demand, but the website is a bottleneck that treats every visitor the same. High-intent traffic converts at the same rate as casual browsers because the experience does not differentiate.
95%+
of B2B website visitors are anonymous
25-50%
can be identified at the company level via IP
0%
of most sites personalize for identified traffic
What changes
Identify. Act. Prove it worked.
Tailor closes the gap between knowing a company is on your site and doing something about it, in real time, without engineering.
1. Identify the company
IP-based lookup identifies the visiting organization, industry, employee count, and headquarters. No cookies, no forms, no login required. Company-level only, no individual PII.
2. Personalize the experience
Show the right proof points, messaging, and CTAs based on company size, industry, or whether they are on your target account list. Swap a headline for enterprise visitors. Surface a fintech case study for fintech companies. Hide self-serve pricing for accounts your sales team should own. Marketers do this in a browser extension, no code.
3. Route the signal
Alert sales when target accounts are active. Surface visit patterns (multiple visitors from one company over two weeks) as buying signals. Give SDRs real-time context instead of stale lists.
4. Prove the downstream impact
Run per-segment experiments comparing personalized vs. default experiences. Measure demo requests, trial starts, pipeline, and revenue, not just page clicks. Know which accounts converted and which variants drove it.
For technical details on how identification works, see the visitor identification docs.
In practice
How Revenue Marketing and ABM teams use this
These patterns come from conversations with B2B marketing teams. They range from passive visibility to full account-based personalization.
See which target accounts are active
No page changes needed. Get Slack alerts when companies on your target list visit. See which industries and company sizes make up your traffic. Give sales real context for outreach timing.
"If I can in an easy way say, oh yeah, we're targeting these 10 companies, these five are active on our website, that's very valuable."
Personalize for enterprise vs. mid-market vs. SMB
Different company sizes need different proof points, CTAs, and pricing frames. Show enterprise case studies and "Talk to Sales" CTAs for large companies. Show self-serve signup and SMB testimonials for smaller ones. Automatic segmentation based on enrichment, no manual tagging.
Match messaging to industry vertical
Your fintech prospects see fintech proof points. Your healthcare visitors see healthcare compliance messaging. The page adapts by industry without building separate pages per vertical.
"Did you know that 40% of your traffic is coming from automotive companies, but your landing page says nothing about automotive services even though that's something you offer?"
Surface buying signals to sales
When multiple people from the same company visit over a short window, that is a buying signal. Tailor surfaces these patterns proactively so sellers can act while intent is warm.
"If 20 people from the same company visit over two weeks in similar roles, I want that surfaced to my sellers."
Combine with campaign signals for richer personalization
Enrichment is most powerful layered with other signals. A visitor from an enterprise fintech company who arrived via a Google Ads keyword about "compliance automation" gets a page that matches all three dimensions: company size, industry, and search intent. No other tool connects these signals on-page without engineering.
To set up targeting rules, see the targeting guide. To measure experiments against pipeline, see conversion goals.
See which companies are on your site right now
Limitations
What to expect (and what not to)
This is not magic. Being honest about the constraints helps you plan around them and still capture significant value.
Match rates are 25-50%, not 100%
IP-based identification works best for mid-market and enterprise traffic from commercial IPs. Remote workers on residential connections are harder to match. Even at 30%, you are identifying the accounts with the highest pipeline potential. The unmatched 70% still gets your default experience, which Tailor helps you optimize through campaign and device signals.
This identifies companies, not people
Enrichment tells you that someone from Acme Corp visited your pricing page. It does not tell you who at Acme Corp. This is company-level intelligence, not contact-level. For many teams, knowing which accounts are active is the valuable signal. Sales takes it from there.
GDPR limits EU enrichment to company data only
In the EU, enrichment is limited to company-level data. US-focused enrichment provides the strongest match rates. Consult your legal team for specific requirements.
You still need a strong default experience
Enrichment lets you upgrade the experience for identified traffic. But the majority of visitors will still be unidentified. The best approach is a strong default page that you then enhance for known segments, not a broken experience that only works when enrichment fires.
Even partial identification changes how teams operate
Teams consistently told us that seeing which companies visit, even at modest match rates, changes outreach timing, messaging priorities, and pipeline forecasting. The alternative is zero visibility.
FAQ
Frequently asked questions
Related
Keep reading
B2B Website Personalization
Enrichment patterns and implementation details
Measurement Guide
Tie experiments to pipeline and revenue
Google Ads Landing Pages
Match pages to keyword intent
Element Control
Show/hide content by audience
A/B Testing & Analytics
Per-segment experiments
Visitor Identification Docs
Technical details on enrichment
Targeting Guide
Set up audience rules
Conversion Goals
Track downstream outcomes
Stop spending to create intent you cannot capture.
See which companies are visiting, personalize their experience, and prove the pipeline impact.