The Best PPC Tools for Google Ads
With countless PPC tools for Google Ads, choosing the right one can be overwhelming. This article reviews top 2024 tools like Optmyzr, Wordstream Advisor, and SEMRush, analyzing features, costs, and usability to optimize performance.
One Egg Digital Attains Google Premium Partner Status
We are thrilled to announce that One Egg Digital has achieved Google Premium Partner status, placing us among the top 3% of marketing agencies worldwide. This prestigious certification recognizes our expertise in Google Ads and other digital marketing tools, giving us access to exclusive training, technology, and support directly from Google. As a Google Premium Partner, we are committed to helping our clients achieve superior campaign performance with the latest innovations in digital marketing.
Microsoft Advertising Guide: Are Bing Ads Worth It?
As Google faces challenges in Australia, businesses are turning to Bing Ads (Microsoft Advertising) for lower costs, less competition, and unique targeting to capture leads and sales.
The Best Google Ads Training Courses
Whether you’re new to PPC or a seasoned pro, there’s always more to learn in the fast-paced world of Google Ads. In this blog, we review the top Google Ads courses, from beginner to advanced, covering everything you need to optimize your campaigns and stay competitive in digital marketing. Explore courses from Google, Udemy, and more!
How to Conduct the Ultimate Google Ads Audit in 50% Less Time
A focused Google Ads audit can save time. This guide covers optimizing structure, geotargeting, ad extensions, and conversion tracking to boost performance and ROI.
One Egg Digital Confirmed for a 5-Star PPC Agency
One Egg Digital is proud to be confirmed as a top Australian PPC agency. Learn how our SEO/PPC approach helped Sydney Harbour Federation Trust grow visibility and conversions while optimizing ad spend. Discover why businesses trust us for their digital marketing success.
Google Ads Inbuilt Machine Learning Tools
Google Ads leverages machine learning to enhance campaign performance with features like smart bidding, dynamic search ads, and data-driven attribution. These tools automate optimization, improve targeting, and drive better results effortlessly.
Google Ads Experiments – Meta Analysis
Over 12 months, we ran 100 Google Ads experiments, testing landing pages and bid strategies. Our analysis showed 51% succeeded, especially in audience targeting and bids. This article shares key optimization insights.
Multiple Regression for Google Ads Accounts
In this third article on machine learning for Google Ads analysis, we dive into multiple regression using several input features to predict conversions. By leveraging Random Forest models, we identify which features—such as cost, impressions, and CTR—are the strongest predictors of performance. This approach shows how using multiple variables can lead to more accurate predictions compared to simpler models that only consider cost.
Fitting A Random Forest Model To Google Ads Data
Learn how to fit a Random Forest model to Google Ads data and explore its potential in predicting conversions, minimizing errors, and identifying trends for better ad spend insights.
