LinkedIn Strategy Assessment
Optimise for buyers, not clicks.
Signal. Structure. Pipeline.
LinkedIn is finding people who click, not people who buy
LinkedIn's algorithm learns from the signals you feed it. If your campaigns track clicks, it will find you clickers: students, job seekers, the professionally curious. If they track demo requests and CRM outcomes, it will find you buyers. Most SaaS accounts we assess are running on the wrong signal, and paying for it in cost per lead and pipeline that never materialises.
Underperformance almost always traces back to three structural issues.
Broken conversion signals
Insight Tags unverified, conversion events firing inconsistently, and no connection between LinkedIn and CRM lifecycle stages. The algorithm can't distinguish high-intent buyers from casual clickers, so budget flows to low-quality traffic.
Spend drifting to cheap inventory
LinkedIn naturally shifts budget to the Audience Network, where clicks are cheap and intent is low. We've seen cost per conversion run close to five times higher there than in the feed, on the same campaigns, with the difference hidden inside blended reporting.
Campaigns that blur the signal
When one campaign mixes regions, buying roles and funnel stages, performance data blurs. A CFO and a field operator respond to different messages. Combine them and you can no longer tell which audience drives leads, so nothing can be optimised with confidence.
Six areas, assessed against how LinkedIn actually optimises
We work through your account the way the algorithm does: from the signals it learns on, to where your spend lands, to whether the structure lets any of it be measured.
Conversion signal quality
Insight Tag deployment, conversion event coverage and verification, and whether LinkedIn is connected to CRM lifecycle stages: MQL, SQL and opportunity, not just form fills.
Placement mix
How spend splits between the LinkedIn feed and the Audience Network, and what each placement actually costs per conversion once you separate them in reporting.
Campaign architecture
Whether campaign structure separates regions, personas and funnel stages cleanly enough for performance signals to stay readable and budgets to be defended.
Persona and message alignment
Whether creative speaks to how each buying role is actually measured. Decision makers weigh cost, risk and compliance. End users weigh workflow friction. One message can't serve both.
Funnel stage coverage
Whether campaigns carry buyers from problem awareness through consideration to a low-friction conversion ask, with retargeting sequenced across stages rather than one cold offer.
Measurement and governance
Whether reporting runs the full funnel from impressions to SQLs, and whether a weekly, monthly and quarterly review cadence exists so optimisation is a routine, not a rescue.
Every finding is documented with its commercial impact, its root cause and a named owner across marketing, RevOps and web, so the fix has somewhere to land.
An audit and a growth plan in one document
The assessment doesn't stop at what's wrong. It sets your baseline, explains why performance looks the way it does, and hands you a sequenced plan with targets attached.
Baseline and 90-day targets
Your current conversion rate, cost per conversion and monthly lead volume, set against specific 90-day targets: demo request lift, cost per conversion reduction and feed-to-network spend ratio.
Root cause analysis
Why the account behaves the way it does, in plain language: what the algorithm is learning from your current signals, where structure blurs the data, and where inventory bias is pulling spend.
Campaign restructure plan
A rebuilt architecture segmented by region, persona and funnel stage, with messaging directions per role and per stage, ready for your team or ours to build against.
Measurement framework
A full-funnel reporting model from impressions through engaged sessions and demo submissions to SQLs, plus the weekly, monthly and quarterly governance cadence to keep it honest.
Ninety days, three phases, in the order that stops the bleeding first
The sequence matters. Fixing signals before structure, and structure before creative, means every later phase is built on data you can trust.
Signal and structure
Verify conversion tracking, integrate CRM lifecycle stages, pull the Audience Network out of prospecting and restructure campaigns by region and persona. This alone stops most wasted spend.
Funnel alignment
Build awareness, consideration and conversion creative per persona, launch stage-based retargeting and stand up the funnel reporting dashboard.
Optimisation
Shift budget toward the highest-converting personas and regions, test creative within stages, and optimise on cost per lead and SQL rate rather than clicks.
Pillar 07 of the SaaS Growth Framework
The LinkedIn Strategy Assessment lives in Demand Generation, Pillar 07 of the framework. It takes its targeting from Strategy & Alignment, draws creative and proof from the Content System, works alongside Multi-Platform Optimisation to reach buyers where they research, and reports into Measurement so pipeline contribution is visible, not assumed.
Highlighted pillars show where the assessment connects most directly across the framework.
Explore the full frameworkFind out what your LinkedIn spend is actually buying
A fixed-scope assessment of your tracking, placement mix and campaign structure, delivered as a baseline, a root cause analysis and a 90-day plan with targets your team can be held to.
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Demand Generation attribution and lead growth
This SaaS company serving the drilling and mining sector relaunched paid media with us across Google and LinkedIn. Within two months, $20,000 in closed and open pipeline traced back to pages our campaigns were driving, and we fixed a tracking gap that had been hiding paid leads inside "direct traffic".
Results
- $10,000 closed (won) from two new customers within two months of relaunch
- A further $10,000 in open pipeline from a third company
- All three deals first engaged on live campaign destination pages
- Same monthly lead volume as the previous month on 68% less ad spend
- Correctly attributed paid leads jumped from 2 to 11 in one month once tracking was fixed