Question: Can you recommend a marketing analytics tool that helps forecast revenue and optimize media spend?

If you're looking for a more general-purpose marketing analytics tool to forecast revenue and optimize media spending, Alembic is worth a look. The company uses AI and graph neural networks to find the causal links between marketing activity and revenue, so companies can make decisions based on data, not guesswork. With multi-touch attribution, causality analysis and custom dashboards, Alembic is good for companies in many industries, including finance and health care, that want to forecast revenue up to two years ahead and optimize media spending.

Another strong contender is Marketing Cloud Intelligence from Salesforce. It offers automated reporting, a single view of marketing data and AI-powered insights that can help you optimize spending and engagement with customers. With a large library of API connectors and tools for media planning and pacing optimization, Marketing Cloud Intelligence is geared for companies with sophisticated marketing operations, making it easier to analyze data and optimize campaigns across many channels.

If you need serious multi-touch attribution and media mix modeling, Northbeam is worth a look. It offers real-time conversion data-driven attribution, media mix modeling for revenue forecasting and interactive dashboards for insights you can act on. The company's technology is designed to help marketers understand customer journeys and optimize media spending, so it's a good fit for companies that want to squeeze as much as possible out of their marketing budget.

Last, Adtriba offers a data-driven approach to marketing analytics with its cross-channel multi-touch attribution and unified marketing measurement tools. Automated data collection from many sources and AI-based analysis offers insights that help businesses make better budget decisions, leading to better marketing ROI. It's a good fit for businesses with large advertising budgets, with detailed analysis and more advanced marketing mix modeling.