Back to Trends Methodology

How We Measure B2B Demand

Most trend tools rely on search volume, aggregate keyword estimates that tell you what people type, not what they do. graph8 trends are built on behavioral data: real page visits from verified B2B professionals across the web.

Composite score Behavior, not estimates
Demand score 0 to 100
Growth percentage
Volume weight
Consistency
Commercial relevance boost
B2B audience percentage
Firmographics Intent scoring Freshness checks
Measurement stack Data collection Scoring algorithm Trend classification Firmographic enrichment Commercial intent Data freshness
01 / Signal source

Real visits, resolved to companies and people.

The original methodology has six parts. The collection, enrichment, and intent rules explain why these trends behave more like a GTM signal than a keyword chart.

1

Data Collection

We track page visits from verified B2B professionals across the web. Each signal represents a real person visiting a real page, identified through hashed email matching (HEM) and IP-to-company resolution.

Unlike search volume estimates that approximate interest, our signals are grounded in observed behavior. A visitor reading a product comparison page or a technical whitepaper is a stronger demand signal than a keyword typed into a search box.

4

Firmographic Enrichment

Raw page visits become actionable when tied to company and contact data. We resolve IPs to companies via our enrichment database at an 80%+ confidence threshold.

Each resolved company is matched to firmographic data: employee count, revenue range, industry classification, and country. Contacts are resolved for seniority level and department data, so you can see not just which companies are researching a topic, but who within those companies.

This enrichment layer turns anonymous web traffic into the audience breakdown charts on each trend page, showing you the industries, company sizes, and seniority levels driving demand for any topic.

In graph8, you can filter in-market companies by any of these firmographic dimensions and build targeted outreach lists.

5

Commercial Intent Scoring

Not all page visits carry the same weight. Each URL in our dataset is analyzed for commercial intent: product pages, comparison articles, and pricing pages score higher than general informational content.

The B2B audience percentage further filters consumer traffic, ensuring that trends reflect genuine business buying behavior rather than casual browsing. A topic where 90% of visitors are verified professionals at mid-market companies signals real demand in a way that raw traffic numbers never could.

02 / Scoring Algorithm

Each trend gets a composite score.

Multiple factors are weighted to surface meaningful demand shifts rather than noise.

Growth percentage 88% signal weight

7-day rolling average compared against the 28-day prior average. This smooths daily fluctuations while staying responsive to real shifts.

Volume weight 72% signal weight

Applied on a logarithmic scale so that high-volume trends do not dominate, but extremely low-volume signals are appropriately discounted.

Consistency 66% signal weight

Penalizes spiky, one-off surges. A trend with steady daily visitors scores higher than one with a single large spike, even if total volume is similar.

Commercial relevance boost 80% signal weight

A 0 to 1 score derived from page content analysis. Pages with buying intent receive a higher weight than informational content.

B2B audience percentage 74% signal weight

Filters out consumer-heavy traffic. Trends with a high percentage of verified business professionals rank higher.

03 / Trend Classification

Four tiers separate breakout demand from noise.

Every trend is classified into one of four tiers based on growth rate and volume thresholds.

Exploding

Over 200% growth with 100+ unique visitors. These are breakout topics gaining rapid traction.

Surging

Over 50% growth with 50+ unique visitors. Strong upward momentum worth monitoring.

Steady

Flat growth. Established topics with consistent demand that have not shifted significantly.

Declining

Below 10% negative growth. Topics losing interest, which can be just as valuable to know.

06 / Data Freshness

Fresh signals stay useful.

graph8 keeps the trend layer focused on current behavior, not stale browsing history.

1
Recomputation

Trends are recomputed regularly with fresh behavioral data, so growth scores and classifications stay current.

2
Time series depth

Each trend page includes 90 days of daily time series data, giving you enough history to distinguish lasting shifts from temporary spikes.

3
Signal TTL

Underlying signal data has a 30 to 60 day time-to-live. Older signals age out naturally, keeping the dataset focused on current behavior rather than stale history.

Powered by graph8 B2B behavioral intent data.

See which companies are researching topics in your market.

Browse trends for free, or sign in to build lists from in-market accounts and launch outreach.

07 / Pricing

You pay for what graph8 executes. Never for seats.

Execution credits send, call, and run agents. Contact credits reveal and enrich the people you target. Three ways in.

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Live demand

Turn trend movement into pipeline movement.

graph8 connects behavioral intent data to account lists, messaging, sequences, calls, and meetings on one buyer graph.