Case Study: Series C Martech Attribution SaaS — Ranking Against Salesforce and HubSpot

Case studies on this page are composite, anonymized accounts based on real client engagements. Client identities, exact metrics, and specific dates have been generalized to protect confidentiality while preserving the strategic substance of the work.

The starting position

The client was a Series C marketing attribution SaaS, ~220 employees, $42M ARR, competing against Salesforce Marketing Cloud, HubSpot, Adobe, and a half-dozen mid-market alternatives. They had product-market fit, a clear differentiator (model-agnostic multi-touch attribution with first-party data emphasis), and reasonable brand recognition — but their organic search position was significantly weaker than their product position. The CEO had heard “we should be ranking for this stuff” enough times to fund a real program.

Baseline: DR58, 1,640 referring domains, 312 organic trials per month, no top-10 rankings on the highest-value commercial terms (“marketing attribution software,” “attribution platform,” “multi-touch attribution”). They were ranking on long-tail content but losing every commercial battle to incumbents with DR85-92.

The strategic diagnosis

The authority gap was the primary structural problem, but it interacted with three content issues.

Commercial intent pages were under-supported. The product page and category pages had thin content and few backlinks. Cluster supporting content existed but didn’t link to commercial pages with intent-matched anchors.

Comparison content was incomplete. “Brand vs Salesforce” content was light. “Brand vs HubSpot” didn’t exist. Most evaluators arrive on comparison queries; without that content, the brand wasn’t in the consideration set.

Customer-evidence content was underweight. The site had three case studies. Comparable competitors had 25-50. Buyer trust signals were weak relative to category norm.

The program design

Workstream 1: Authority acceleration on commercial pages. Digital PR program focused on driving high-authority backlinks specifically to category and comparison pages, not to the homepage or blog. Custom anchor text strategy.

Workstream 2: Comparison cluster build-out. Comprehensive comparison content against Salesforce, HubSpot, Adobe, and four mid-market competitors. Each comparison page 1,800-2,500 words with feature matrices, scenario-based recommendations, and customer-evidence pull quotes.

Workstream 3: Original research and data PR. Annual “State of Marketing Attribution” report based on aggregated customer data. Earned tier-1 marketing media coverage and citation-quality backlinks.

Workstream 4: Customer evidence acceleration. 20 new case studies in the first 6 months across customer segments. Each with measurable outcomes, named customers (where permissioned), and schema markup.

Workstream 5: CMO and head of growth as media sources. Both positioned as expert sources for AdAge, Marketing Land, MarTech, and MarTech Today. Quote placements monthly.

The execution timeline

Months 0-3: Foundation. Comparison cluster planning and writing. First data collection for State of Attribution report. Case study production cadence at 4/month.

Months 4-6: First comparison pages live. Three appearing on page 2 within 60 days. Digital PR campaign earns coverage in MarTech, AdAge digital, and Marketing Land. DR moves 58 → 62.

Months 7-9: State of Attribution report launches with embargoed Adweek and MarTech coverage. 84 new referring domains in 30 days. Comparison pages moving to page 1. Organic trials at 480/month.

Months 10-11: “Marketing attribution software” rank 4. “Multi-touch attribution platform” rank 3. “Attribution platform” rank 7. Brand vs HubSpot rank 1. Brand vs Salesforce rank 2.

The outcomes

Rankings. Top-5 on the three highest-value commercial terms. Top-3 on all comparison queries against named incumbents. AI search citations on “best marketing attribution software” in ChatGPT and Perplexity.

Authority. DR58 → DR67. Referring domains 1,640 → 2,580. Tier-1 marketing media coverage (Adweek, AdAge, MarTech, Marketing Land — 18 placements).

Pipeline. Organic trials 312 → 1,140/month. Organic-attributed pipeline contribution 11% → 34% of total. Estimated organic-attributed ARR addition over 11 months: $8.2M.

The buyer journey context

The marketing attribution buyer is typically a CMO, VP Marketing, or Head of Marketing Operations at a Series B+ company with established martech stack and a real attribution problem (multi-channel, multi-touchpoint, hard to measure first-party). The buyer cycle is 8-16 weeks, involves 3-5 stakeholders (CMO, VP Marketing, MarketingOps lead, Analytics lead, sometimes Finance), and is heavily comparison-driven.

Buyers arrive at vendor sites via three primary search patterns: category-defining searches (“multi-touch attribution platform,” “marketing attribution software”), incumbent-alternative searches (“Salesforce Marketing Cloud alternatives,” “Adobe attribution alternatives”), and comparison searches (“[Brand] vs [Competitor]”). The program targeted all three at the cluster level.

Program cost and team structure

Engagement ran at $42K/month retainer — typical for Series C and stage-appropriate for the scope (data-led PR program plus comparison cluster plus customer evidence acceleration). Total program investment over 11 months: ~$462K. The organic-attributed ARR addition (~$8.2M) represented ~17.7x return on program investment by month 11. Internal team allocation included a dedicated marketing operations lead working on attribution data, customer marketing for case studies, and CMO availability for media.

Specific tactics that mattered

Comparison content with honest tradeoff framing. Comparison pages explicitly listed scenarios where competitors were the better choice (small business with simple needs, organizations already committed to a CRM ecosystem). This counter-intuitive transparency increased conversion rates because evaluators trusted the comparison to be honest about the rest.

Annual research as authority compounder. The State of Marketing Attribution report was structured to enable an annual re-release with updated data. The first report earned coverage; the second (positioned as “annual benchmark”) earned both coverage and category-defining authority for “marketing attribution benchmarks” queries.

Customer evidence at conversion friction points. Case studies weren’t gated PDFs; they were structured web pages with schema markup that ranked in their own right. Each linked back to the comparison and category pages, creating a self-reinforcing internal link network.

How we measured

Beyond SEO and authority metrics, the program tracked: comparison page CTR vs. ranking position (a leading indicator of whether the comparison framing matched buyer intent), trial signup quality scoring by source, and pipeline velocity from organic-source opportunities. CMO reviewed quarterly; CRO reviewed monthly given the magnitude of pipeline contribution.

What we’d do differently

The comparison cluster should have been built before the data-led PR campaign. The PR campaign drove qualified traffic to category pages — but if comparison pages had been mature earlier, conversion would have been higher. Future engagements front-load comparison content.

What this means for martech and adjacent categories

Series C martech is structurally similar to Series C sales tech, customer success tech, and revenue intelligence tech — comparison-heavy buying processes, well-resourced incumbent competitors, and reward for original data. See martech link building, the SaaS SEO strategy framework, and the full case studies hub.