LIVE on June 30 | 8am PDT
Forecasting Growth: How to Project SEO and Paid Results 90 to 180 Days From Now
Marketing forecasting has become significantly more complex.
AI Overviews are changing click behavior, paid media auctions are becoming less predictable, attribution gaps continue to widen, and conversion patterns no longer behave the way they did just a few years ago. Yet most organizations still rely on outdated forecasting models built around static traffic assumptions, stable CPCs, and linear growth expectations.
In this webinar, Neil Patel and the NP Digital team will break down how modern marketing teams should forecast SEO and paid growth in today’s environment. You’ll learn how to move beyond traffic projections and build forecasting systems that account for visibility shifts, AI-driven search behavior, conversion volatility, pipeline quality, and revenue efficiency. We’ll also show you how the best teams use scenario planning, probabilistic forecasting, and executive-ready reporting to improve forecasting confidence and decision-making.
You’ll walk away with practical frameworks for forecasting SEO visibility, paid media performance, pipeline contribution, and revenue outcomes over the next 90 to 180 days — along with a step-by-step action plan to operationalize forecasting across your organization.
Fill out the form below to register now:
What You’ll Learn
Why traditional marketing forecasts increasingly fail in AI-driven search and paid environments
How AI Overviews, zero-click behavior, and auction volatility are changing forecasting models
The modern framework for forecasting visibility, demand, pipeline, and revenue
How to build conservative, expected, and aggressive forecasting scenarios
The most important forecasting inputs for SEO and paid media performance
What to forecast beyond traffic, rankings, and clicks
How to project SEO growth in industries impacted heavily by AI search features
The paid media forecasting models that account for CPC inflation and audience saturation
How to create executive forecasts leadership teams actually trust
A 90-day roadmap to improve forecasting accuracy, reporting quality, and strategic alignment
YOUR INSTRUCTORS
Neil Patel
After founding CrazyEgg, Kissmetrics, and other multimillion-dollar companies, today Neil works to grow Ubersuggest and his agency NP Digital. As a marketer, he’s also helped companies like Amazon, NBC, GM, HP, and Viacom grow their revenue.
The Wall Street Journal calls Neil a top influencer on the web. Forbes says he’s one of the top 10 online marketers, and Entrepreneur Magazine says he created one of the 100 most brilliant companies in the world.
Karen Bellin
VP of Data & Analytics
With over 20 years of experience across innovation and marketing, Karen's expertise in leveraging data and insights has helped global brands like Western Union, Adobe, and Universal Technical institute achieve the outcomes they want by providing the experiences their customers need. Karen's leadership is focused on blending data, user experience, and technology to achieve business and award-winning impacts. Karen's work has taken her across North America, to Asia, and to the Middle East, enabling a global perspective alongside her data-driven insights, which help brands solve complex challenges in today's rapidly evolving marketing landscape.
Nicole Leite
Sr Manager, Data, Analytics & Insights at NP Digital
Nicole Leite is a digital marketing analytics expert with nearly 20 years of experience helping organizations turn data into smarter marketing decisions. She has partnered with agencies to support leading brands across CPG, technology, healthcare, travel, and finance to develop measurement strategies that connect marketing performance to business outcomes. Known for translating complex analytics into clear, actionable insights, Nicole brings deep expertise in measurement strategy, tool implementation, and Marketing Mix Modeling (MMM), along with a passion for helping teams build confidence in data-driven decision-making.