Using AI and Google Ads to Boost Your Online Course Traffic - with Alex Makarski
Sep 15, 2023
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Expert marketer and former engineer, Alex Makarski, shares insights on using AI and Google Ads to boost online course traffic. Topics include leveraging big data, training machines for informed decisions, and the value of building supportive communities. Discover the math of averages, the power of multi-channel campaigns, and the role of machine learning in media buying.
When using Google Ads, it is important to manually review and verify leads to ensure their quality and avoid fake or low-quality leads.
Before investing in paid media, it is crucial to optimize other key elements of the business, such as customer lifetime value and conversion rates, to ensure the success and scalability of paid media campaigns.
Deep dives
The Problem with the Math of Averages in Lead Generation
The podcast discusses the problem of using the math of averages in lead generation. When firing conversion events for every lead that comes in, there is a risk of receiving fake or low-quality leads. Click farms and bots can skew lead data, and Google's algorithm may not be able to differentiate between good and bad leads. It is important to manually review and verify leads to ensure their quality before signaling their value to Google.
Paid Media as a Powerful Magnifier
The podcast highlights the fact that paid media can either propel a successful business to new heights or quickly lead to failure. Before investing in paid media, it is crucial to optimize the other key elements of the business, such as customer lifetime value, conversion rates, and unit economics. This ensures that paid media can scale and amplify the existing success of the business.
The Role of AI and Machine Learning in Ad Auctions
The podcast explores how AI and machine learning are reshaping the ad auction process. Networks like Google are increasingly becoming multi-channel, and campaigns can span different platforms like search, display, video, and native ads. Machine learning algorithms now make real-time decisions about which ads are admitted to the auction and where they are shown. Media buyers need to train the algorithms to prioritize high-quality traffic and optimize conversions by accessing additional data and delaying the firing of conversion events.
The Importance of Supportive Communities
The podcast emphasizes the value of being part of a supportive community like the Dynamite Circle. Being surrounded by like-minded individuals who understand the challenges of entrepreneurship provides emotional support and the opportunity to learn from each other's experiences. The Dynamite Circle offers a space for entrepreneurs to share knowledge, gain new perspectives, and build meaningful connections.
Ever wondered how Google Ads and artificial intelligence can elevate your online courses? Get ready to navigate through the fascinating intricacies of AI and conversion, guided by expert marketer and former engineer, Alex Makarski. We journey into the world of averages, the transformative power of Google’s multi-channel campaigns, and the indispensable role of machine learning in media buying. It's an exploration of quantifying the value of a lead, testing paid media, and understanding the direction of your business.
By sharing his unique experiences from consulting major brands such as McDonald's, PNG, and Siemens on leveraging big data, Alex divulges valuable insights on how these skills can uplevel your online course traffic. We delve into the significance of training machines to make informed decisions, avoiding low-intent auctions rife with fake traffic, and the importance of building supportive communities. This episode is your masterclass on how to use AI, machine learning, and the math of averages to calculate the value of a lead and optimize revenue. It's time to unleash the untapped potential of your online courses with Alex's actionable advice.
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