A marketing analytics tool that turns campaign KPI data into automated performance reports and actionable optimization recommendations.
Added Jun 11, 2026
Last signal 3d ago
Marketing teams are expected to continuously monitor campaign performance, report KPIs, and translate analytics into clear next steps. The signals show repeated demand for data-driven optimization across campaign, field marketing, product marketing, and account reporting workflows, often requiring teams to pull insights from GA4, Looker, and channel dashboards manually.
Build a SaaS dashboard that connects to common marketing analytics and channel reporting tools, normalizes campaign KPIs, and highlights performance changes, anomalies, and underperforming segments. The product generates stakeholder-ready summaries with recommended optimizations for budget, messaging, audience, and channel adjustments based on campaign results.
Companies across regions and marketing roles are explicitly hiring for people who can analyze campaigns, report measurable results, and provide actionable recommendations. As marketing stacks fragment across analytics, BI, and channel dashboards, teams need faster ways to convert data into decisions.
Partner with Analytics to build dashboards and reporting that surface actionable insights on funnel conversion and campaign impact Manage lifecycle marketing tools and platforms (e.g., Customer.io, Braze, Iterable) and keep flows organized and up to date
Use data and insights to measure campaign performance and continuously optimize audience engagement and reach Create compelling presentations and narratives to communicate strategy, performance, and recommendations to senior stakeholders
Reporting & Insights: Design and maintain dashboards and reporting frameworks, translating marketing data into actionable recommendations to optimize campaign performance. 1
Analytics & instrumentation. Define the performance metrics that matter, instrument the product and funnel to capture them, and build the dashboards the team runs on. Partner with Organic on a shared funnel view. AI-native workflows. Use AI across creative, targeting, copy, and analysis to compress every cycle and run a leveraged, low-overhead performance motion.
Hand up if your team already has too many dashboards. GA4, CRM, email platform, ads, social listening, heatmaps, LinkedIn analytics... the data isn't the problem. the problem is that none of it talks to each other, and half the team is interpreting the same numbers differently. AI can help here but only if the data is actually clean and you know what you're trying to figure out. Asking 'why did traffic drop' is a bad question. asking 'which specific audience segment moved closer to buying last month and why' is a much better one. The dream isn't a dashboard with more charts. it's a system that looks at all your signals and surfaces the 3 decisions that actually need to get made this week. would you trust AI to summarize your marketing performance and tell you what to do next? or does that still feel like a stretch?
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