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SaaS Marketing Suite Case Study

Marketing automation software: Page 3 → Page 1 for 23 terms, +$42k/month revenue.

13 min read
Updated January 2026

A B2B marketing automation platform was stuck on page 3 for their core product keywords, losing ground to competitors with stronger domain authority. After 10 months of strategic .edu link building targeting marketing and business programs, they achieved page 1 rankings for 23 core terms and $42,000/month in new recurring revenue.

23
Core Terms on Page 1
+$42k
Monthly Revenue
4.2
Average Position

Client Overview

The client is a marketing automation SaaS company based in San Francisco, California. Their platform helps mid-market companies (100-1,000 employees) automate email marketing, lead scoring, and campaign management. They compete against established players like HubSpot, Marketo, and Pardot.

MetricBefore CampaignNotes
Company StageGrowth$12M ARR, profitable
Target MarketMid-market B2B100-1,000 employee companies
Domain Age7 yearsEstablished but underperforming
Domain Authority38Below competitors (55-75)
Organic Traffic8,400/monthHeavy reliance on branded
Avg. Position (Core Terms)24.6Page 3 on average

Challenges

The marketing automation space is notoriously competitive, with well-funded competitors dominating organic search:

Competitive Pressure

  • HubSpot: DA 93, massive content library
  • Marketo: DA 82, enterprise focus
  • Mailchimp: DA 92, SMB dominance
  • ActiveCampaign: DA 78, aggressive content marketing

Keyword Difficulty

  • "Marketing automation software": KD 85
  • "Email marketing platform": KD 82
  • "Lead scoring software": KD 71
  • "Marketing automation tools": KD 79

The Authority Gap

Our competitor analysis revealed the client's DA 38 was the primary barrier. Top-ranking competitors averaged DA 72. Without closing this gap, content improvements alone wouldn't move rankings.

Strategy & Approach

Our strategy targeted marketing programs, business schools, and technology departments that naturally discuss marketing automation concepts:

1. Target Selection Criteria

  • Universities with digital marketing programs
  • Business schools teaching marketing technology
  • Communications and advertising departments
  • Student marketing associations and clubs
  • Academic research on marketing automation

2. Content Assets Created

  • Marketing Automation Glossary (200+ terms, academic-level definitions)
  • State of Marketing Automation Report (annual research study)
  • Marketing Automation ROI Calculator (interactive tool)
  • Academic case studies on automation implementation

3. Link Placement Strategy

  • Course resource pages (syllabi, reading lists)
  • Department resource libraries
  • Student organization resource pages
  • Research center publications

Implementation

The 10-month campaign focused on consistent, high-quality link acquisition:

MonthLinks AcquiredSource TypeAvg. DR
Month 12Marketing program resources70
Month 21Business school syllabus75
Month 32Communications dept, student org68
Month 42Research center, faculty blog72
Month 51Digital marketing program74
Month 62Advertising dept, career services69
Month 71Marketing association71
Month 82Business library, course page73
Month 92Research paper citation, dept resource76
Month 101Academic conference proceedings78

Total links acquired: 16 editorial .edu placements with an average DR of 72.6.

Results

Before Campaign (Month 0)

Domain Authority38
Average Position (Core)24.6 (Page 3)
Monthly Organic Traffic8,400
Core Terms on Page 12
Core Terms on Page 2-321
Monthly Organic Signups34

After Campaign (Month 10)

Domain Authority52
Average Position (Core)4.2 (Page 1)
Monthly Organic Traffic28,600
Core Terms on Page 123
Core Terms on Page 2-30
Monthly Organic Signups156

Average Position for Core Keywords

Month 0Pos. 24.6
Month 3Pos. 18.2
Month 5Pos. 12.4
Month 7Pos. 7.8
Month 10Pos. 4.2

The Page 1 Breakthrough

Moving from page 3 to page 1 fundamentally changed the business. Click-through rates jumped from 0.8% (page 3 average) to 8.2% (position 4-5 average)—a 10x improvement from rankings alone.

Revenue Impact

SaaS economics made the revenue impact straightforward to calculate:

MetricBeforeAfterChange
Monthly Organic Traffic8,40028,600+240%
Organic Signups/Month34156+359%
Signup-to-Paid Rate18%18%
New Paid Customers/Month628+367%
Average Monthly Revenue/Customer$1,900$1,900
New Monthly Revenue$11,400$53,200+$41,800

The $41,800/month in new recurring revenue represented an immediate payback on the $72,000 campaign investment. By month 12, the campaign had generated over $500,000 in new ARR.

Monthly Organic Signups

Month 034
Month 352
Month 578
Month 7112
Month 10156

CAC Reduction

Beyond new revenue, the client saw their blended Customer Acquisition Cost drop from $2,100 to $1,450—a 31% reduction—as organic became a larger share of new customer acquisition.

Key Learnings

Key Takeaways

  • Page 1 changes everything in SaaS. The CTR difference between page 3 and page 1 top 5 is 10x. Rankings matter enormously.
  • Marketing program links are highly relevant. Links from digital marketing and business programs signal topical authority to Google.
  • Glossary content attracts academic links. Our 200-term glossary earned 4 links on its own as professors referenced it in courses.
  • SaaS revenue compounds rapidly. $42k/month in new MRR becomes $500k+ ARR, with potential for years of LTV.
  • Authority gap closure is the key lever. Moving from DA 38 to DA 52 enabled rankings that content alone couldn't achieve.

Ready to See These Results for Your Business?

Schedule a free strategy call to see how editorial .edu placements can transform your rankings.

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