Use cases
Outcomes marketing teams achieve with Propensity
Organized around the outcomes that matter — not features. Here is how teams use Propensity to make better decisions and improve results.
Outcome
Improve audience targeting
Challenge
Teams struggle to see which audiences are genuinely engaging and converting across a large, fragmented campaign portfolio.
Current approach
Audience performance is pieced together manually from CRM, automation, and ad platforms — often weeks after decisions needed to be made.
Desired outcome
A clear, current view of which audiences deserve more investment and which should be scaled back.
How Propensity helps
Propensity unifies audience signals across systems, ranks segments by how they engage and convert, and recommends where to concentrate spend.
Representative scenario
Global Infrastructure Software Company
Limited visibility into audience engagement across multiple campaigns became a clear, prioritized view that improved targeting.
Outcome
Improve message effectiveness
Challenge
It is hard to know which messages, pain points, and content themes actually resonate with each audience.
Current approach
Messaging decisions rely on intuition and isolated campaign results, with little visibility into what consistently works.
Desired outcome
Confidence to lead with the messages and themes that move each audience.
How Propensity helps
Propensity surfaces message resonance by audience and highlights the themes that land — and the ones that are fading.
Representative scenario
Growth-Stage B2B SaaS Company
Guesswork on messaging gave way to a clearer understanding of which themes resonated with priority segments.
Outcome
Improve campaign performance
Challenge
Teams can see what changed in their dashboards, but not what is working, what is not, and why.
Current approach
Weekly reporting is consolidated by hand across disconnected tools, leaving little time to actually optimize.
Desired outcome
Faster, more confident optimization decisions grounded in the real drivers of performance.
How Propensity helps
Propensity automates consolidation and explains the drivers behind results, so teams spend their time optimizing rather than reporting.
Representative scenario
Enterprise Semiconductor Manufacturer
Manual campaign analysis across disconnected systems became faster optimization with less reporting effort.
Outcome
Identify growth opportunities
Challenge
Emerging opportunities and adjacent segments are easy to miss until they show up in lagging reports.
Current approach
Opportunities surface late, often after a competitor or a colleague spots them first.
Desired outcome
Early visibility into where to expand and what the team might be missing.
How Propensity helps
Propensity watches for emerging momentum across audiences and channels and flags opportunities worth pursuing.
Representative scenario
Global Infrastructure Software Company
Overlooked, high-performing segments were surfaced earlier and added to the campaign plan.
Outcome
Prioritize marketing investments
Challenge
With finite budget, it is difficult to know where to invest, what to stop, and what deserves attention.
Current approach
Budget decisions are made in planning meetings with incomplete, inconsistent evidence.
Desired outcome
A defensible, evidence-based view of where budget and attention should go next.
How Propensity helps
Propensity turns performance intelligence into prioritized investment recommendations the team can act on with confidence.
Representative scenario
Growth-Stage B2B SaaS Company
Limited visibility into investment decisions became improved planning and resource allocation.
Common questions
Questions about marketing use cases
- How do marketing teams use Propensity AI?
Teams use Propensity AI to improve audience targeting, sharpen message effectiveness, raise campaign performance, identify growth opportunities, and prioritize marketing investments. Each use case turns scattered signals into a clear, prioritized decision.
- What is audience intelligence?
Audience intelligence unifies engagement and conversion signals across systems and ranks segments by how they actually perform. It helps teams concentrate spend on the audiences most likely to convert instead of piecing performance together manually.
- How does Propensity AI support marketing decision-making?
It automates the consolidation of performance data and explains the drivers behind results, then translates that intelligence into prioritized, defensible recommendations — so budget and attention go where they will have the most impact.
- Which teams benefit most from these use cases?
Demand generation, marketing operations, and marketing leadership at mid-market and enterprise companies benefit most, particularly teams managing large, fragmented campaign portfolios across multiple audiences and regions.
Find the outcome your team needs next
See how Campaign Command Center turns your signals into the outcomes above.