Case Study: Series B Sales Enablement SaaS — Competing Against Outreach and Salesloft in 13 Months

This case study is a composite, anonymized account based on real client engagements. Client identity, 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 B sales enablement platform, ~125 employees, $19M ARR, competing against Outreach, Salesloft, Apollo, Gong, and a half-dozen mid-market category challengers. Their product had genuine technical differentiation around AI-assisted multi-channel sequencing, but their organic position dramatically lagged their product position. Their target buyer — Head of Sales or VP Sales Operations at 200-2,000 employee B2B companies — was actively searching but never finding them.

Baseline at engagement: DR54, 980 referring domains, 41 organic demo requests per month. No top-10 rankings on the highest-intent commercial terms (“best sales engagement platform,” “sales enablement software,” “Outreach alternatives”). Most organic demo flow came from long-tail blog content, not commercial pages. The CRO had heard “we should be ranking for this stuff” enough times to fund a real program.

The strategic diagnosis

Three structural problems surfaced in the audit.

Authority gap on commercial pages. 980 referring domains pointing mostly to blog content with thin authority on category pages, product pages, and competitor comparison pages — the pages that actually convert.

Comparison content gap. Buyers shortlist via comparison content. “Brand vs Outreach,” “Brand vs Salesloft,” “Brand vs Apollo” pages were either missing entirely or under 800 words with no feature matrix. Competitors had richer comparison pages ranking page 1.

Original research absence. Sales tech is a data-rich category — call activity data, win rates, sequence performance, response rates. The platform had the data; the marketing team hadn’t published anything proprietary that journalists wanted to cite.

The program design

Workstream 1: Comparison cluster build-out. Detailed comparison content against Outreach, Salesloft, Apollo, Gong, Salesforce Sales Cloud, and three other mid-market competitors. Each comparison page 1,800-2,500 words with feature matrices, scenario-based recommendations, and customer-evidence quotes.

Workstream 2: Sales execution research. Annual “State of Sales Execution” report based on aggregated platform data — sequence performance benchmarks, channel mix analysis, win-rate factors. Designed for tier-1 sales publication coverage.

Workstream 3: Operator-community digital PR. Sales tech buyers read specific publications and newsletters — Sales Hacker, Pavilion, GTM Buddy, Lenny’s Newsletter, Modern Sales Pros. Built sustained presence across those outlets through guest contributions and reactive PR.

Workstream 4: CRO and VP Sales as media sources. Both positioned as expert sources for SaaStr, Sales Hacker, B2B Marketing Exchange, and tier-2 sales publications. Quote placements monthly.

Workstream 5: Customer evidence acceleration. 18 new case studies in the first 8 months across customer segments. Each with named brands (where permissioned), measurable outcomes (call volume lift, response rate improvement, ramp time reduction), and schema markup.

The execution timeline

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

Months 4-6: Comparison cluster fully built. Three comparison pages on page 2 within 60 days. Sales Hacker contributor program active. DR moves 54 → 58.

Months 7-9: State of Sales Execution report launches with embargoed coverage in Sales Hacker, SaaStr, and TOPO. 71 new referring domains in 60 days. Comparison pages moving to page 1. DR moves 58 → 62.

Months 10-13: “Outreach alternatives” rank 3. “Salesloft alternatives” rank 2. “Sales enablement software” rank 6. Operator-community presence compounds. CRO contributed pieces landing monthly. AI Overview citations appearing on category queries.

The outcomes

Authority. DR54 → DR66. Referring domains 980 → 1,820. Tier-1 sales publication coverage (Sales Hacker 8x, SaaStr 4x, TOPO 3x, Pavilion newsletter mentions). 24 customer evidence assets live.

Rankings. Top-5 on the three highest-value commercial terms. Top-3 on all comparison queries against named incumbents. AI search citations on “best sales engagement platform” and adjacent queries.

Pipeline. Demo requests 41/month → 250/month (6.1x). Organic-attributed pipeline contribution 9% → 31% of total. Estimated organic-attributed ARR addition over 13 months: ~$5.8M.

The buyer journey context

The sales tech buyer is a sophisticated comparison shopper. Head of Sales or VP Sales Ops at 200-2,000 employee B2B companies. Sales cycle 8-14 weeks, involves CRO, VP Sales Ops, Sales leadership, and often IT/security review. Heavily comparison-driven: shortlist almost always built via direct competitor comparison searches.

The program design respected this. Comparison content was prioritized first because it captured buyers at the highest-intent shortlist-building moment. The State of Sales report served the earlier category-research phase where buyers were forming their evaluation criteria.

Program cost and team structure

Engagement ran at $34K/month for 13 months. Total program investment: ~$442K. The organic-attributed ARR addition (~$5.8M) represented ~13.1x return on program investment. Internal team allocation included a dedicated marketing operations lead working on customer evidence and a CRO/VP Sales committing ~3 hours per week to media availability and contributed content review.

Specific tactics that mattered

Comparison content with honest tradeoff framing. Comparison pages explicitly named scenarios where Outreach or Salesloft was the better choice (enterprise organizations already on Salesforce Marketing Cloud, teams committed to specific integration ecosystems). The transparency lifted conversion rates on the ICP-fit prospects who arrived on comparison content.

Data report exclusivity. The State of Sales Execution report was offered as a 72-hour exclusive to Sales Hacker. The tier-1 exclusive earned the headline coverage; broader distribution captured tier-2 placements and AI search citation density.

Operator community presence over generic SaaS PR. Sales tech buyers read Sales Hacker more than they read TechCrunch. The program over-indexed budget on operator publications versus generic tech press — and saw better pipeline correlation.

How we measured

Beyond standard SEO and authority metrics: comparison page CTR vs ranking position (leading indicator of comparison framing fit), demo request quality scoring by source (organic demos converted at 18% to paid vs 12% for paid demos), and AI search citation count monthly on the 25 priority commercial queries. CRO reviewed quarterly; CMO reviewed monthly.

What we’d do differently

The State of Sales report should have launched in month 5, not month 7. The two-month delay cost compounding from data-driven authority. Future engagements front-load the data collection so the first report launches by month 5-6.

What changed inside the team

By month 13, the comparison cluster had become a standard sales enablement tool — SDRs and AEs referenced the comparison pages during discovery calls when prospects raised competitive concerns. The marketing-sales alignment improved meaningfully because both teams were working from the same content asset library. The CMO and CRO joint quarterly reviews shifted from blame-allocation conversations to optimization conversations.

What this means for your sales tech program

Sales tech rewards comparison content, original sales-execution data, and operator-community authority. Generic SaaS PR underweights the specific publications sales tech buyers actually read. See SaaS link building services, the SaaS SEO framework, and the full case studies hub. Book a strategy call to walk through your engagement.