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B2B SaaS

B2B SaaS Platform Achieves 3× MQL Growth With GTM Strategy + Technical SEO + Full-Funnel Tracking

The platform had strong capability but weak pipeline. We connected go-to-market positioning, technical SEO and full-funnel tracking so demand became measurable and repeatable.

B2B SaaS Platform Achieves 3× MQL Growth With GTM Strategy + Technical SEO + Full-Funnel Tracking
3x
MQLs in 120 days
+64%
Organic traffic
+155%
Demo submissions
Stack
GA4, GTM, HubSpot, Search Console, SEMrush, Hotjar
Focus
Operations & IT buyers

Overview

A B2B SaaS workflow-automation platform came to us with a common pattern: the product was capable, the customers were happy, but the pipeline would not grow. Traffic was steady and demos trickled in, yet the site talked about features while operations and IT buyers were deciding on how the tool fit their existing workflow.

The brief was to turn demand into something measurable and repeatable, joining go-to-market positioning, technical SEO, website UX and full-funnel tracking into one motion built around the people who actually sign off on automation software.

The challenge

1

A hero that sold features, not fit

The homepage led with a vague, feature-heavy message and spoke to everyone at once. There was no separation for the different buyers who land there: operations leaders, digital transformation heads and process owners each need a different reason to book a demo.

2

No funnel tracking to trust

GA4 had no proper event, goal or funnel setup, and form submissions were never mapped to HubSpot lifecycle stages. No one could see where a demo request came from or where prospects dropped off.

3

A weak technical SEO base

Unstructured URLs, duplicate content and index bloat from low-value pages held organic back and made it hard for search engines to understand the product.

4

Messaging aimed at the wrong level

Content described features instead of the outcomes and workflows buyers care about, and no industry-specific proof was built into the journeys that lead to a demo.

5

No content engine for growth

There were no structured use-case pages and few supporting blog clusters around automation, efficiency and operational workflows, so there was nothing for high-intent searches to find.

Our approach

Before rebuilding anything, we ran a Design Thinking diagnostic next to the analytics to find where demand was really breaking down.

  1. 1

    Empathise

    spoke to power users and the internal sales team to map the real workflow pain that triggers a search for automation.

  2. 2

    Define

    segmented the ICP into operations leaders, digital transformation heads and process owners, each with its own trigger.

  3. 3

    Ideate

    generated outcome-first messaging, landing-page structures and demo journeys for each segment.

  4. 4

    Prototype

    wireframed a new homepage, product pages and demo experience to test the positioning.

  5. 5

    Test

    A/B tested hero messaging, CTA placement and form experiences against demo volume and quality, not clicks.

What we did

Reframed the story around workflow fit. Positioning moved from a generic feature list to outcome-led messaging that showed each buyer how the platform slots into their existing process and what it improves, with industry proof built into the demo journey.

Rebuilt the technical foundation. We restructured URLs, cleared the duplicate content and index bloat, and repaired the site architecture so search engines could read the product and rankings had room to grow.

Built a use-case content engine. Structured use-case pages and supporting blog clusters around automation and operational efficiency gave high-intent searches a place to land and a reason to convert.

Wired up full-funnel measurement. GA4, Google Tag Manager and HubSpot were rebuilt to track real events and map every form to a lifecycle stage, so marketing could finally attribute each MQL to the channel, campaign and page that created it. That work delivered 3x MQLs in 120 days, a 64% lift in organic traffic and a 155% rise in demo submissions.

The impact

  • A predictable, scalable MQL pipeline the sales team can plan around.
  • Tighter alignment between marketing, product and sales enablement.
  • Less dependency on paid media to keep pipeline moving.
  • Shorter sales cycles from better-educated, higher-intent prospects.
  • A reusable go-to-market framework for future feature launches and new verticals.

“Prospects were not trying to understand every feature. They wanted to know how the product fits their existing workflow and what it improves.”

The Design Thinking insight behind the work.
Results

The numbers that changed.

3x
MQLs in 120 days
+64%
Organic traffic
+155%
Demo submissions

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