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Anonymized Applied Case Study · 90 days
SaaS: reported +35% trial-to-paid conversion
The source case study reports +35% trial-to-paid conversion, +28% qualified leads, 50% faster reporting and 20% higher ROI on ad spend over 90 days. These are engagement-specific reported outcomes, not a benchmark, guarantee or independently verified result.
Context
B2B productivity SaaS · 75 employees · North America · subscription model with a free-trial funnel.
Challenge
The source describes inconsistent lead quality, rising CAC, sales time spent on unqualified prospects and weak ROI attribution.
Applied work
Predictive lead scoring, AI-assisted content, ad-spend optimization and a unified dashboard using GA4, HubSpot and LinkedIn Ads.
Reported outcomes
+35% trial-to-paid conversion · +28% qualified leads · 50% reduction in reporting time · 20% higher ROI on ad spend.
Evidence boundary
The source identifies a 90-day period and operating signals but does not provide additional attribution methodology or independent verification. The results should remain engagement-specific.
HOW TO READ THIS CASE
Applied evidence through the mAI operating model
This case is organized as anonymized applied evidence. The source-supported engagement context and reported outcomes remain the evidence boundary; the mAI operating model below provides a consistent way to inspect how the work maps to marketing operations without extending the source claims.
PLAN
Define the operating problem, business context, constraints, baseline and KPI contract.
EXECUTE
Apply the source-described workflows, channels, content, scoring or integrations under human oversight.
MEASURE
Read the reported metrics against the stated engagement window and documented evidence limitations.
OPTIMIZE
Use measured signals to refine approved actions without treating engagement-specific results as universal benchmarks.
P² EVIDENCE VIEW
Productivity + Precision
Productivity signals include operating effort, reporting time, workflow speed or automation coverage when the source reports them. Precision signals use the engagement-specific business KPI reported in this case. Neither dimension should be generalized beyond the evidence provided.
HUMAN COMMAND
Governed interpretation
Strategy, audiences, budgets, brand-critical content, privacy, compliance and material policy decisions remain subject to defined human approval. Evidence classification and claim boundaries are part of that governance layer.
EVIDENCE STATUS
This page is anonymized applied evidence. Reported outcomes are engagement-specific and should be interpreted with the stated context and evidence boundaries, not as a forecast or guarantee.
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