Is Our Blog Bringing Leads? 7 Metrics B2B Manufacturers Should Track

To know whether your blog brings leads, follow each post from search to inquiry to order: Search Console shows whether buyers find it, Google Analytics shows whether readers take an inquiry action, and your CRM shows whether those inquiries become quotes and orders. Traffic on its own proves very little. The seven metrics below connect those three tools, so you can say which posts bring real business and which only bring visits.

This guide is written for B2B manufacturers and exporters, typically on WordPress, where a "lead" usually means an RFQ form, an email or a chat message from a buyer.

Why traffic alone does not answer the question

A blog post can attract thousands of visitors and produce no inquiries, for example when it ranks for student questions or for a country you do not ship to. Another post can get a hundred visits a month and bring two serious RFQs. If your report starts and ends with pageviews, you will put effort into the wrong posts.

The fix is to measure each post at three stages:

Stage	Question	Main tool
Found	Do the right buyers see and click this post in Google?	Google Search Console
Acted	Do readers move to a product page or send an inquiry?	Google Analytics 4
Converted	Do those inquiries become qualified leads, quotes and orders?	Your CRM, or a spreadsheet if you have no CRM

The 7 metrics

1. Search impressions and clicks per post

In Search Console's Performance report, "clicks" counts how often users clicked through to your site from Google Search results and "impressions" counts how often your site appeared in results. Filter by page to see each blog post separately.

What to look for: posts that gain impressions over time are being found. A post with many impressions but few clicks may need a clearer title and meta description. A post with almost no impressions after several months may target a topic nobody searches for, or may need a stronger answer than the pages already ranking.

2. Buyer-intent queries each post appears for

Still in the Performance report, open a post and switch to the Queries tab. Ignore the total query count and read the actual queries. Sort them into three groups:

• Buyer intent: product, specification, material, application or supplier terms, for example "316L flange pressure rating" or "OEM silicone gasket manufacturer".
• Research intent: "what is", "how does" and student-style questions.
• Irrelevant: queries you cannot sell to.

Example: a post about choosing PTFE gaskets gets most of its impressions from "PTFE meaning" and very few from "PTFE gasket for chemical pump". It is visible, but mostly to the wrong audience. Adding a section on chemical compatibility and pump applications, and linking to the matching product page, is more useful than chasing more traffic.

3. Organic landing-page sessions in Google Analytics

Link Search Console to Google Analytics 4. Google's help page on the Search Console integration says this adds a "Google Organic Search Queries" report and a "Google Organic Search Traffic" report that shows landing pages with Search Console and Analytics metrics together. It also notes that Search Console keeps data for the last 16 months, so the linked reports include at most 16 months of data.

Use this to check that the clicks you saw in Search Console turn into real sessions on the post, and to compare blog posts with product pages as entry points.

If your site runs on WordPress, Google's own Site Kit by Google plugin can show Search Console and Analytics data inside the WordPress dashboard, which makes this easier for teams without an analyst.

4. Click-through from the post to product, RFQ or contact pages

A blog post rarely gets the inquiry itself. Its job is often to send a qualified reader to a product page or the RFQ form. In GA4, look at what readers do next: the share of post sessions that continue to a product category page, a product page, or the contact page.

What to look for: a post with healthy traffic and almost no onward clicks usually has a weak link to your products. Add a clear, relevant next step, such as "See our PTFE gasket range" or "Send your drawing for a quote", near the point in the article where the reader's question is answered.

5. Inquiry actions per post (key events)

Decide which actions count as an inquiry, then track them as key events in GA4. Google defines a key event as "an event that measures an action that's particularly important to the success of your business," and any event you collect can be marked as one.

For a manufacturer, typical inquiry actions are:

• RFQ or contact form submitted. Google's recommended events include generate_lead for when a user "submits a form or a request for information."
• Click on an email address.
• Click on a WhatsApp, WeChat or phone link.
• Catalogue or datasheet download, if you treat it as a lead.

Then report inquiry actions per post and inquiry rate: inquiry actions divided by the post's sessions. Compare posts with each other and with your product pages, rather than with generic industry benchmarks, which mix very different businesses.

6. Qualified inquiries from blog visitors

Not every form submission is a lead. Spam, job seekers, students and buyers outside your markets all fill in forms. In your CRM or inquiry spreadsheet, record for every inquiry:

• The landing page and source (for example, a hidden form field that stores the first page visited, or the UTM values if present).
• Whether it is qualified by your own rules, such as target country, realistic quantity, matching product and a real company.

Google's recommended lead events follow the same stages: qualify_lead for a lead "marked as fitting the criteria to become a qualified lead", working_lead when a lead "contacts or is contacted by a representative", and close_convert_lead when it "became a converted lead (a customer)". You do not need to send all of these to GA4, but using the same stages in your CRM keeps marketing and sales talking about the same numbers.

The metric to report: qualified inquiries per month whose first page was a blog post, and the qualification rate (qualified divided by all inquiries) for blog-originated inquiries.

7. Quotes, orders and order value from blog-originated inquiries

This is the number owners actually care about, and it takes the longest to appear. Many B2B orders follow samples, trial orders and approvals over several months. Each quarter, count:

• Quotes sent to inquiries that started on a blog post.
• Orders won from those inquiries, and their value.
• Which posts those orders started from.

Example: over two quarters, a fastener maker finds that 40 inquiries started on blog posts, 11 were qualified, 6 received quotes and 2 became orders. Both orders started on the same technical post about corrosion resistance in marine environments. That tells the team what to write next far better than any traffic chart. (These figures are an illustration, not a benchmark.)

A note on attribution

GA4 does not show every touchpoint the way a long B2B buying journey happens. Its attribution documentation lists the models available today: data-driven, paid and organic last click, and Google paid channels last click. It also notes that first click, linear, time decay and position-based models "are no longer available as of November 2023."

Two practical consequences:

• Store the first landing page in your CRM when the inquiry arrives. That gives you a simple "blog-originated" count that GA4's models will not provide.
• Use UTM tags on links you place outside your site, such as newsletters, LinkedIn posts or distributor emails. Google's URL builder help explains that adding UTM parameters to "referral links and ad campaigns" lets you see which campaigns refer traffic, and says you should always use utm_source, utm_medium and utm_campaign. Keep values lowercase and consistent. You do not need UTM tags on links between your own pages.

Also check your GA4 data retention setting. Google's data retention help explains that user-level data can be kept for 2 or 14 months; the setting does not affect standard aggregated reports, but it does limit explorations and funnel reports. If you analyse long sales cycles in explorations, choose 14 months.

Image: Pixabay via Pexels, Pexels License

Vanity metrics to stop reporting on their own

These numbers are not useless, but none of them shows that the blog brings business:

Metric	Why it misleads on its own
Total pageviews	Grows with irrelevant traffic as easily as with buyers
Number of posts published	Measures effort, not results
Total keywords ranked	Includes many queries you cannot sell to
Sitewide average position	Mixes all queries and pages into one figure
Social likes and shares	Rarely come from buyers with a live project
Time on page or bounce rate alone	Describes reading behaviour, not intent to buy

If you report any of these, put an inquiry or qualified-lead figure next to it.

A simple monthly report

Keep the report to one page per month and one deeper review per quarter.

Monthly, for each blog post:

1. Impressions and clicks (Search Console)
2. Main buyer-intent queries (Search Console)
3. Organic sessions (GA4)
4. Clicks to product, RFQ or contact pages (GA4)
5. Inquiry actions and inquiry rate (GA4 key events)

Quarterly, for blog-originated inquiries:

6. Qualified inquiries and qualification rate (CRM)
7. Quotes, orders and order value, by starting post (CRM)

Before you trust the numbers, check the basics once: each inquiry action fires exactly once, test submissions are excluded, form submissions reach the CRM, and someone records the landing page and qualification status for every inquiry.

Then use the report to decide: update posts that attract buyers but send few inquiries, write more on topics that produced qualified leads, and stop investing in topics that only attract readers you cannot sell to. Blogo can help with the writing side, choosing the next topic from your site and Search Console data and preparing a fact-checked WordPress draft for your team to review.

FAQ

How long before a blog post brings inquiries? There is no reliable fixed timeline. It depends on competition, your site's existing visibility and how specific the topic is. Track impressions first; inquiries usually follow only after a post is consistently visible for buyer-intent queries.

Is a newsletter signup a lead? Only if your sales team would contact that person. For most manufacturers, RFQs, emails and chat messages from real companies are leads; newsletter signups are a separate, softer metric.

Should I compare my inquiry rate with industry benchmarks? Use them with caution. Published benchmarks mix industries, deal sizes and definitions of a lead. Your own product pages and your best posts are a more useful comparison.

Can I track all of this without a CRM? Yes. A shared spreadsheet with one row per inquiry works if it records the date, landing page, source, qualification status, quote and order value.

Which tool should I check first? Search Console. If a post is not being found by buyers, nothing downstream will improve until that changes.