SEO keyword research cannot focus solely on search volume! As a professional search engine optimization company, EasyWin has conducted practical tests and verified that incorporating 'purchase stage keyword frequency distribution' can accurately identify the true intent of B2B customers, significantly improving Google SEO rankings and the conversion rate of website SEO optimization solutions.
The monthly search volume for "industrial sensors" exceeds 58,200, but after three months of optimization by an automation equipment manufacturer, the inquiry conversion rate was only 0.7%. The issue lies not in technical execution but in keyword selection logic—mixing "information-seeking" terms (e.g., "industrial sensor principles") with "purchase-decision" terms (e.g., "industrial sensor wholesale prices," "OEM industrial sensor manufacturers").
Based on data modeling from over 100,000 corporate SEO projects, EasyWin found that B2B users typically go through 4.3 search stages from awareness to conversion, with significant differences in keyword frequency distribution at each stage. Relying solely on third-party tools to extract "high-search-volume keyword lists" leads to 62% of landing page content mismatching users' current purchase stage.
Purchase stage keyword frequency distribution refers to analyzing the actual occurrence frequency and semantic weight of corresponding keywords across the internet, segmented by user journey nodes (awareness → evaluation → comparison → signing). This dimension requires combining AI semantic clustering, search results page structure analysis, and click behavior logs for cross-validation and cannot be obtained directly through basic keyword tools.

EasyWin's independently developed purchase intent recognition model has identified four quantifiable evaluation metrics applicable to the integrated website + marketing services industry. Below are baseline values from 376 B2B clients over the past 12 months:
Table shows: Purchase paths vary significantly across industries. For example, local service clients have a combined 55% frequency for "comparison" and "signing" stage keywords, indicating short decision cycles and intensive price comparisons, necessitating priority placement of terms like "XX city beauty salon management system quotes" and "beauty salon SaaS free trials." Manufacturing equipment clients, however, peak at 35% for "evaluation" stage keywords, requiring deep content like technical white papers, case videos, and parameter comparison pages.
EasyWin has formalized this methodology into a standard delivery process covering keyword mining, content planning, and technical deployment:
For example, when users search "cross-border e-commerce independent site construction costs," the system automatically identifies it as comparison intent and triggers EasyWin's AMP/MIP mobile site "multi-language quote calculator" component; searches for "independent site SEO optimization tutorials" push technical white paper download pages.
Founded in 2013 and headquartered in Beijing, EasyWin Information Technology is a global digital marketing service provider driven by artificial intelligence and big data. With a decade of industry expertise, the company's "tech innovation + localized service" dual strategy has created full-funnel solutions covering smart site building, SEO optimization, social media marketing, and ad placements, helping over 100,000 enterprises achieve global growth. In 2023, the company was selected for "China's Top 100 SaaS Enterprises" with annual growth exceeding 30%, becoming an industry-recognized innovation engine and growth benchmark.
We offer three irreplaceable professional guarantees:
Contact us now for a free Industry Purchase Stage Keyword Baseline Report (including 3 high-value stage keywords + landing page structure suggestions), limited to the first 50 corporate clients.

Data shows non-price terms like "custom," "OEM," "distribution加盟," and "MOQ" account for 41% of signing-stage keywords. True intent requires industry-specific purchase habit analysis.
83% of local service clients searching "nearby beauty salon systems" in WeChat/QQ built-in browsers directly click call or booking buttons. Here, AMP version's 0.5s online booking response is 3x faster than traditional sites, directly impacting order rates.
An education provider's "children's programming course introduction" page used for both awareness and signing stages caused a 78% bounce rate. Correct approach: awareness stage uses short videos on "why learn coding," while signing stage displays "real-time campus vacancies within 3km" via LBS maps.
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