Improving Pipeline Quality Through LinkedIn Ads
A quality-first rework that grew ACV 41% while keeping SQL volume steady.
By narrowing targeting to ICP tiers 1 and 2, gating premium content, and layering intent data, a scale-up increased LinkedIn-sourced ACV and win rate simultaneously.
A enterprise B2B SaaS operating in the Cybersecurity SaaS space.
- Increase ACV from LinkedIn-sourced pipeline.
- Move win rate closer to sales-sourced benchmark.
- Reduce time-to-close on marketing-sourced deals.
The team had inconsistent execution across channels, no shared dashboard, and no repeatable framework for prioritizing investment.
- LinkedIn-sourced deals had 40% lower ACV than sales-sourced.
- Marketing was measured on MQL volume, not deal quality.
- Intent signals existed in 6sense but weren't wired into targeting.
- No documented ICP or JTBD anchored to marketing programs.
- KPIs tracked in isolation, not tied to revenue outcomes.
- Tool sprawl with 4+ overlapping platforms and no single source of truth.
- Content and paid teams operating on separate roadmaps.
- Rebuilt account tiers with sales — Tier 1 = 200 accounts, Tier 2 = 600.
- Layered 6sense intent as an amplifier, not a targeting filter.
- Gated premium content behind SDR handoff.
- Switched marketing OKR from MQLs to sourced pipeline $.
- 1Discovery & AuditWeeks 1–2
Baseline every metric that matters.
- Current-state audit
- ICP + JTBD document
- KPI tree
- 2Strategy & PlanningWeeks 3–4
Define bets, sequence, and ownership.
- Quarterly roadmap
- Framework selection
- Executive review deck
- 3ImplementationWeeks 5–12
Ship the work in weekly cycles.
- Campaigns live
- Dashboards deployed
- SOPs documented
- 4Measurement & IterationWeeks 13+
Compound gains with weekly review.
- Weekly readouts
- Experiment log
- Next-quarter plan
- Kicked off with a 5-day baseline sprint to map current state and quick wins.
- Locked scope for the first 90 days to prevent context switching.
- Ran a weekly 45-minute execution review — decisions only, no status updates.
- Stood up a live dashboard as the single source of truth for the leadership team.
- Landing page system (hero, ROI proof, comparison, FAQ).
- Email nurture sequence (7 emails across 21 days).
- Sales enablement one-pagers and battlecards.
- Executive dashboard with weekly and monthly views.
- Pipeline quality follows targeting quality — not creative quality.
- The metric marketing owns dictates the pipeline it produces.
- Intent data belongs in prioritization, not gating.
- Skipping the audit phase to 'move faster' — teams later rebuild the same work.
- Confusing activity metrics with outcome metrics in weekly reviews.
- Running too many experiments in parallel to reach statistical clarity.
- Anchor every quarter to one primary outcome metric — everything else is a leading indicator.
- Run a monthly framework review — retire what isn't producing decisions.
- Give one owner accountability per workstream — shared ownership stalls output.
- Document ICP and JTBD before writing any brief.
- Publish a single KPI tree tied to revenue.
- Ship the dashboard before the first campaign.
- Run a weekly 45-min decision review with the DRIs.
- Retrospect every 30 days; adjust bets accordingly.
- Site's Connected Growth System framework
- SaaS SEO Roadmap Template
- CAC & LTV Calculator
- Marketing Maturity Assessment
How long does an engagement like this take?
Most SaaS engagements produce visible outcomes in 90 days and compound over 6–12 months.
Is this replicable at earlier stages?
Yes — the framework scales down. The number of workstreams changes, not the sequence.
What's the single biggest determinant of success?
Executive commitment to one primary outcome metric for the quarter.
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Download the companion PDF
By narrowing targeting to ICP tiers 1 and 2, gating premium content, and layering intent data, a scale-up increased LinkedIn-sourced ACV and win rate simultaneously.