Overview

Vector provides a cutting-edge approach to keyword intent tracking, helping businesses identify high-intent buyers at the contact level rather than just at the company level. By leveraging advanced AI models and a vast publisher network, Vector delivers precise, real-time insights into who is researching specific topics, including custom-branded searches.
​

How Vector Tracks Keyword Intent

Unlike traditional search-based tracking, Vector does not rely on Google searches to determine keyword intent. Instead, we use a large-scale publisher network and AI-driven topic analysis to understand buyer behavior across the web.
​

1⃣ Publisher Network & Data Sources

Vector partners with a network of 400,000+ publishers, including:

• Major media sites

• B2B publications

• Industry review websites

• How-to guides and educational content

When users engage with content on these sites, Vector de-anonymizes their activity at a contact level—not just a company level—providing clear insights into who is actively researching a given topic.
​

2⃣ Contact-Level De-Anonymization

Unlike solutions that only identify that "someone" from a company is researching a topic, Vector tells you exactly who that person is. This allows for more precise targeting and engagement with decision-makers actively looking for solutions.
​

3⃣ AI-Powered Intent Classification

Vector processes 10 billion+ signals daily, using state-of-the-art AI models to analyze content engagement. This enables us to:

• Read and understand entire web pages to determine the true context of a user’s interest.

• Distinguish between casual mentions vs. actual buying intent (e.g., Is a user reading a product pricing page, or did a keyword just appear in an unrelated article?).

• Deliver more accurate intent data compared to legacy systems built on older models.

Custom Keyword Intent Tracking

Branded Search Intent

Vector’s AI allows for custom-built keyword intent models, meaning you can track highly specific searches, including:

• Brand mentions (e.g., "Vector software")

• Competitor intent (e.g., "Alternatives to Vector")

• Category-level research (e.g., "Best contact based marketing solutions")

This means businesses can gain deep insights into who is researching their brand, even if that research is happening on third-party sites outside of their control.
​

Why Vector’s Keyword Intent is a Game-Changer

✅ Contact-Level Precision – Know exactly who is showing intent, not just the company.

✅ Real Buyer Intent – AI-driven classification ensures you’re targeting real buyers, not casual readers.

✅ Customizable Intent Models – Track branded, competitor, and category-level searches based on your needs.

✅ Modern AI-Powered Accuracy – Built using the latest AI models for superior classification and targeting.

⏱ How intent frequency works (and why it matters!)

Let’s say your frequency is set to 5x within 7 days — this means someone needs to be researching that topic on at least five separate days within a rolling 7-day window to show up in your segment. So if they’re doing a little light research on Monday and again on Thursday and Friday and so on… boom, they’re in!

Why does that matter? Because frequency = intent strength.

• A frequency of 1x might catch someone casually browsing or just checking a random link — not exactly worth rolling out the red carpet for.

• We generally recommend setting your frequency to 2x or more. It’s a good threshold for filtering out one-time wanderers and surfacing folks who are genuinely interested (and likely to care more than just a little bit).

Basically: the more often someone’s digging into a topic, the more likely they’re actually in market — and that’s when Vector magic really kicks in. ✨