B2B software case studies
These B2B software case studies show how QualiPulse ran technical content, product marketing, SEO and LinkedIn programs for software companies, with the results we could measure and the ones we could not.
The engagements below cover software and QA companies, most of them selling B2B: two IT services firms, an independent software testing company, a sports technology platform and a SaaS product company. Every card gives its headline number with the baseline, where one was recorded, and the source behind it. Some results are output counts, such as pages rebuilt, rather than business outcomes like leads or revenue. Each card also names one thing that did not work.
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LinkedIn Ghostwriting Confidential IT services company, USA (CEO profile)70% more LinkedIn impressions in 25 days
- Baseline
- No starting impression count is published. The figure is the lift over 25 days of organic posting.
- Source
- The profile’s own LinkedIn analytics. Organic activity only, no ads or automation.
- Starting problem
- The CEO’s profile described a job title, the last post was months old, and buyers who looked the CEO up found nothing worth following.
- What we did
- We rebuilt the headline, About section and experience around buyer outcomes, then ghostwrote five posts a week across text, carousels, infographics and video.
- What did not work
- The result measures reach only. Meetings and pipeline from the posts are not reported, so it shows visibility, not revenue.
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Product Value Assurance Confidential AI-powered sports technology platform, global10 leads in the first 30 days after the priority fixes
- Baseline
- No lead count from before the fixes is published, so the 10 leads show the first month of results, not a measured lift.
- Source
- Leads counted in the 30 days after the priority fixes and channel changes.
- Starting problem
- Real proof from federation partnerships sat in separate channels and rarely reached buyers: one testimonial appeared across 38 LinkedIn posts.
- What we did
- We audited LinkedIn, Instagram, the website and AI search visibility, fixed the priority technical issues, and set up one proof system to feed every channel.
- What did not work
- The engagement was scoped to marketing and demand channels only, so usability and product reliability were not reviewed, and the in-product sharing feature was specced, with full rollout planned for month 4 onward.
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Content Engine Confidential independent software testing company, USA20% more qualified leads from organic content over 12 months
- Baseline
- “Almost no qualified inbound” before the program. No exact starting count is published.
- Source
- Qualified leads from organic content across the 12-month retainer.
- Starting problem
- Articles written by generalists, on topics picked by instinct and published whenever someone had time, brought in almost no qualified inbound.
- What we did
- We ran a 12-month roadmap of practitioner-reviewed articles and AI testing whitepapers, each mapped to a researched keyword and a stage of the buyer journey.
- What did not work
- Nothing was published for the first three months while the buyer research, keyword map and point of view were set up.
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Technical SEO Confidential mid-sized IT services company, India60 pages fully reworked in five months (an output count)
- Baseline
- 60 pages with technical issues, thin internal links and no schema
- Source
- The month-one technical audit that listed the pages, and the month-five handover document
- Starting problem
- The site had no GA4 or Search Console, no structured data and a thin, unmanaged backlink profile, so it barely showed up in search.
- What we did
- Over five months we ran five streams side by side: analytics setup, page fixes and schema, backlinks, local SEO, and AEO and GEO work on nine articles.
- What did not work
- Beyond 7 target keywords reaching Google page one by month three, traffic and lead results are not published, so the business impact is not shown.
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Content Engine Confidential SaaS product company, USA+35% website visitors in 90 days, with page-one keywords up from 3 to 23
- Baseline
- About 800 visitors a month, 3 keywords on Google page one and 2 qualified leads a month before the program.
- Source
- Measured over the first 90 to 100 days of the program.
- Starting problem
- The product was respected by its users, but the content meant to build awareness and inbound pipeline lacked the credibility to reach buyers before competitors did.
- What we did
- We ran a monthly program of keyword-led articles, a five-page whitepaper and LinkedIn posts, all planned ahead and reviewed by a practitioner.
- What did not work
- Lead growth is still small in absolute terms: qualified leads rose 20%, from 2 a month to about 2.4. Rankings moved faster than pipeline.
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