KadroPulse grew qualified demos 2.3x from LinkedIn
HR-automation B2B SaaS KadroPulse could not turn LinkedIn spend into demos. Tecrube’s scored lead pipeline and bulk-email nurturing lifted qualified demos 2.3x and shortened sales first-response time.
Key metrics
2.3x
qualified demos
41%
faster first reply
8 weeks
measurement window
Story highlights
- Title and company-size layers tightened
- Lead scores clarified MQL vs SQL
- Qualified demos up 2.3x
- First response 41% faster
- Marketing and sales shared one demo score
KadroPulse sells payroll and leave automation to mid-market companies. ARR targets rose while most pipeline still came from LinkedIn Ads — yet most form-fillers were not decision-makers. Sales calendars stayed empty while “interested” leads clogged the queue.
Marketing chased cheaper CPC with loose title and company-size filters. Lead Gen Form records lagged into the CRM and permissioned email nurturing ran on scattered templates. Digital marketing reports celebrated clicks and forms, not SQL or won opportunities.
This story shows how Tecrube tied LinkedIn targeting, lead scoring and bulk-email sequences into one pipeline — optimizing for demos sales will accept, not cheap forms.
Over eight weeks, score thresholds, nurturing cadence and sales SLAs were rewritten; the sections below walk through each step.
Delivery journey
Four steps from discovery to proof
Every case study follows the same discipline: clarify measurement, set up, optimise, prove the outcome.
Tighten targeting
LinkedIn title and company layers rewritten.
Score and form
Lead Gen fields and score thresholds launched.
Nurturing
Permissioned email sequence with demo CTA went live.
Pipeline impact
Qualified demos +2.3x confirmed in 8 weeks.
Challenge
LinkedIn campaigns ran on broad title lists; interns and irrelevant roles bloated the MQL pool. Lead Gen Forms lacked company-size and urgency fields. CRM sync lagged, so reps called warm leads hours late. Email nurturing felt like a brand newsletter and buried the demo CTA. Marketing claimed “more leads” while sales said “no quality,” turning weekly pipeline meetings into blame sessions. As budget rose, CPL fell but SQL rate collapsed.
What we did
Tecrube tightened LinkedIn Ads title, function and headcount layers and added urgency plus company-size fields to Lead Gen Forms. Every lead scored on arrival — below threshold into nurturing, above into the sales queue. Bulk-email sequences carried value content and a clear demo CTA; non-openers saw lower frequency. A thirty-minute first-response SLA triggered automatic reminders on delay. Unapproved budget increases stayed blocked; only campaigns clearing the SQL conversion threshold scaled. Marketing and sales shared one demo score.
Outcome
In eight weeks qualified demos rose 2.3x. MQL-to-SQL conversion improved and wasted dials fell. Average first-response time dropped 41%. CPL rose slightly but cost per demo fell because leakage shrank. Pipeline meetings ran on one score; the marketing-versus-sales argument ended. Next-quarter ARR forecasting started treating LinkedIn contribution as a trustworthy input.
We finally get demos sales will accept — not forms. The pipeline conversation happens at the end.
Modules used
Key takeaways
- In B2B, cheap CPL often means expensive sales time.
- Without lead scores, MQL pools mislead.
- Permissioned nurturing is not a cold newsletter.
- Warm leads cool if sales SLAs are not tied to ads.
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Frequently asked questions
Short answers on timing, channels and how to get a similar outcome.
Direct access to decision-maker titles; form quality was more controllable than search or Meta.
Only permissioned contacts entered nurturing; frequency dropped for non-openers.
First-response SLA moved to 30 minutes; above-score leads were prioritized.
Connect LinkedIn in Tecrube and define your ICP plus score thresholds.
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