Campaign Overlap Map: a multi-segment Venn widget for marketing clouds
A widget for marketers to see which customers are in too many different email lists at the same time.
A plug-in widget for marketing clouds and CRMs that shows how up to ~15 campaign audiences or segments overlap in a single proportional Venn diagram, so marketers can spot over-messaged contacts and near-duplicate segments before hitting send.
Concept
A widget for marketing platforms (e.g., embedded in a campaign builder) that renders a brand's active campaign audiences or segments — six to fifteen at once — as one quasi-proportional Venn diagram. Each region's area reflects the number of contacts shared by that exact combination of campaigns; combinations with zero contacts are simply not drawn, which is what keeps the picture legible at high set counts. Marketers use it pre-send to find over-messaged contacts (the small central regions where many campaigns pile up) and wasted spend (segments that nearly duplicate each other). Because the underlying algorithm clamps very small regions to a minimum radius, every region carries its true contact count as a label, and regions sitting at the clamp get a warning badge so a 50-contact sliver is never misread as a 5,000-contact one.
Why now
nVenn2 [0] demonstrates that quasi-proportional Venn diagrams with more than nine sets are now computable and interpretable, because runtime scales with the number of non-empty regions rather than the number of sets, and it is consistently faster than the prior version for six or more sets. It ships already deployed — as a web page, an R package (nVennR2), and a Python package (nVennPy) — with editable appearance, so embedding it into a SaaS widget is a packaging exercise, not a research project. Marketing clouds routinely run dozens of overlapping segments, but their native overlap tooling caps at 2–3 set Venns or pairwise tables. The paper's disclosed limitation (no circle smaller than 2% of diagram width, which can misrepresent tiny regions) is handled head-on in the product with true-count labels and clamp warnings.
Written by GLM · 11 Oct 2026
AI assessment
A highly focused, feasible utility that solves a specific pain point in marketing automation by leveraging a newly efficient visualization algorithm.
- Evidence strength 5/5
- The idea directly implements the nVenn2 algorithm's specific capabilities and explicitly addresses the paper's disclosed limitation regarding minimum radius constraints.
- Market pull 4/5
- Marketing managers in high-volume CRM environments have a clear, urgent need to prevent 'email fatigue' and over-messaging, which currently requires tedious manual auditing.
- Novelty & moat 4/5
- While other catalog ideas focus on general BI or AI mapping, this is a specialized application of a specific mathematical breakthrough to a distinct industry workflow.
- Feasibility 5/5
- The core logic is already available as open-source Python and R packages, making the MVP a matter of API integration and UI wrapping.
- Wedge clarity 5/5
- The 'pre-send overlap check' is a sharp, single-purpose entry point that provides immediate value without requiring a platform overhaul.
- Simplicity / focus 5/5
- The product is a single, well-defined widget with one clear function, avoiding the 'platform' trap.
Scored by Gemma 4 · 11 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.
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Who benefits
- Klaviyocompany
E-commerce brands on Klaviyo run many simultaneous flows and campaigns against the same shopper base; a pre-send overlap map directly targets over-messaging, a leading cause of unsubscribes.
- HubSpotcompany
Marketing Hub customers maintain dozens of overlapping lists and workflows; a visual overlap view reduces list duplication and email fatigue, common SMB pain points.
- Salesforcecompany
Marketing Cloud enterprises manage thousands of segments across journeys; an overlap audit helps consolidate audiences and cut wasted spend before campaigns launch.
- Brazecompany
Braze offers frequency capping but no visual multi-campaign overlap view; this widget complements caps with a legible audit of which audiences are stacked.
Research it builds on
- nVenn2: faster, simpler generalized quasi-proportional Venn diagramsSamuel Pis-Vigil, María González-Pereira, Magda R. Hamczyk et al. · 2026 · 1 citationsAll ideas from this paper →