Competitive Intelligence & SEO Strategy

AI is changing how marketers create and optimize content. In this course, learners explore how to design clear, structured prompts that guide generative AI tools toward SEO-friendly results. Through short videos, guided discussions, and hands-on labs, learners practice writing effective prompts, refining AI outputs, and generating webpage meta descriptions that meet Google’s SEO guidelines. Along the way, they’ll learn how to evaluate tone, length, and keyword usage—and how to balance automation with human creativity. By the end, learners will have a practical cheat sheet of prompt-writing best practices and a portfolio of optimized meta descriptions they can use in real marketing workflows.

In today’s competitive digital landscape, publishing content isn’t enough—every brand is fighting for attention. This course teaches you to think like an SEO strategist by combining social listening and competitor analysis to uncover hidden opportunities. You’ll learn to interpret audience signals, map competitor strengths, and design counter-strategies that drive real SEO impact. Through engaging videos, case examples, and hands-on projects, you’ll leave with job-ready skills to identify, prioritize, and act on opportunities that move your brand ahead.

Modern consumers shift preferences faster than ever, and marketers can’t rely on assumptions. This course teaches you how to run professional survey studies and convert demographic data into decisions that move campaigns forward. You’ll learn how to execute surveys end-to-end, segment response data using Excel, and present insights with clarity and business impact. To succeed, you only need basic digital marketing familiarity and comfort working with spreadsheets. By the end of this course, you will be able to: Execute comprehensive survey studies using online platforms from design through data export Analyze response data by demographic segments to identify meaningful audience patterns Create professional insight presentations with targeted charts and strategic recommendations This course is unique because it combines hands-on platform skills with analytical expertise, giving you both the technical execution capabilities and the strategic insight development skills that modern marketing teams demand. To be successful in this course, you should have basic experience with digital marketing concepts and familiarity with data analysis tools like Excel.

Did you know that nearly 40% of marketing data is wasted due to inaccurate audience targeting and unreliable tracking? Learning to segment and validate live data can turn that loss into actionable insight. This Short Course was created to help digital marketing professionals leverage analytics for data-driven decision-making, audience optimization, and reliable performance measurement in campaign management and website optimization. By completing this course, you will be able to segment, test, and verify live marketing data streams to uncover audience misalignments and ensure your campaign decisions are based on accurate, real-time insights—skills you can immediately apply to improve marketing performance. By the end of this 3-hour long course, you will be able to: • Apply audience segmentation techniques to analyze traffic and identify profile misalignments. • Evaluate real-time data fidelity by comparing against historical traffic patterns. This course is unique because it combines real-time marketing analytics with live data validation, helping you move beyond static reports to build continuous feedback loops that strengthen campaign accuracy and audience targeting. To be successful in this project, you should have: • Basic understanding of web analytics concepts • Familiarity with digital marketing metrics • Access to Google Analytics or a similar analytics platform

Why is your great content invisible on Google? The answer often lies hidden in your technical foundation and keyword strategy. Boost SEO Tools is a hands-on, beginner-friendly course designed to demystify the core tools of the trade. You will first learn to identify and compare the essential free and paid keyword research tools used by professionals to uncover what customers are actually searching for. Then, you will learn the critical skill of interpreting a technical site audit report—the health check for your website. Through a practical, scenario-based project, you'll learn how to spot the critical errors that are holding you back, from broken links to slow page speeds, and translate them into a prioritized action plan. By the end of this course, you will be equipped to use data-driven insights to make actionable SEO improvements, forming the foundation for any successful digital strategy.

Pricing decisions shape growth, customer acquisition, and revenue performance. In this course, you’ll learn how to evaluate product pricing strategies using competitive analysis and demand modeling techniques commonly used in SaaS organizations. You’ll begin by analyzing how pricing structures influence customer perception and buying behavior. Using real-world SaaS examples, you’ll compare pricing models such as per-seat, usage-based, tiered, freemium, and flat-rate pricing. You’ll also build structured pricing comparison matrices to identify competitive gaps, feature positioning, and pricing advantages across competing products. Next, you’ll focus on demand analysis and pricing impact modeling. You’ll learn how price elasticity affects customer behavior and how to estimate the impact of pricing changes using historical data, spreadsheet models, and scenario analysis. Through guided exercises, you’ll project how price changes may affect volume, revenue, and long-term business performance. Hands-on activities place you in the role of a product marketing manager evaluating competitor pricing and presenting pricing recommendations to stakeholders. You’ll analyze pricing trade-offs, interpret scenario outputs, document assumptions, and communicate pricing risks clearly in cross-functional business settings. By the end of the course, you’ll be able to assess competitive pricing strategies, model pricing scenarios, and contribute more effectively to pricing and go-to-market decisions. This course is ideal for product marketers, pricing analysts, growth marketers, and business professionals involved in product positioning, revenue strategy, or market analysis. Basic familiarity with business metrics, spreadsheets, or product marketing concepts is helpful for understanding demand modeling techniques, interpreting pricing scenarios, and completing the hands-on activities in this course.

Strong products fail without clear positioning. In this course, you’ll learn how to define who your product is for and why it’s the right choice for that audience, using practical positioning frameworks and real-world scenarios. You’ll start by learning the standard positioning framework and how to apply it to define product-market fit. You’ll practice drafting positioning statements for different customer segments, adapting your message to reflect each audience’s needs, context, and priorities. Next, you’ll evaluate positioning strength using competitive benchmarking. You’ll learn how to assess whether your positioning is defensible, unique, and relevant, and how to identify when your messaging sounds too similar to competitors. Through hands-on activities and role-play scenarios, you’ll practice refining positioning and defending it in stakeholder discussions. By the end of the course, you’ll be able to create clear, specific positioning statements that differentiate your product and resonate with the right audience. These skills are essential for product marketing managers, founders, and anyone responsible for bringing products to market.

SEO is one of the most cost effective ways to drive long-term traffic, but only if you know how to measure and improve it. In this course, you’ll learn how to analyze SEO performance data and turn insights into actionable growth strategies. You’ll start by understanding key search performance metrics such as impressions, clicks, click-through rate (CTR), and average position. Using real-world datasets inspired by Search Console exports, you’ll learn how to identify underperforming keywords and uncover “low-hanging fruit” opportunities that can increase traffic without changing rankings. From there, you’ll move beyond analysis into decision making. You’ll learn how to identify content gaps, evaluate whether issues are content related or technical, and apply a structured prioritization framework using impact vs. effort. You’ll also explore modern workflows, including AI-assisted keyword analysis, to surface new opportunities at scale. Through hands on activities, you’ll calculate visibility gaps, estimate missed traffic, and build a practical SEO growth roadmap. By the end of the course, you’ll be able to confidently interpret SEO data, prioritize improvements, and recommend strategies that support organic growth.