Website optimization
How do you optimize LinkedIn ads?
To optimize LinkedIn ads, work methodically down the funnel starting with your offer and audience. Ensure your offer is compelling to your target audience, then create eye-catching ads that stand out from competitors. Aim for click-through rates of 0.8-1% (above the average 0.4%) and engagement rates above 0.7%. Maintain coherency between your ads and landing pages to provide a seamless user experience. Analyze landing page conversion rates (ideally 1-4%) and implement effective scheduling to increase show-up rates for consultations. Don't immediately blame marketing if leads aren't converting—examine each step of the funnel systematically to identify and fix bottlenecks in sequence.
Watch clip answer (19:07m)
John Stewart Marketing 🚀
00:00 - 19:07
What is A/B testing?
A/B testing, also known as split testing or bucket testing, is a method of comparing two versions of a webpage or app to determine which one performs better. It's essentially an experiment where variants are shown to users at random, with statistical analysis used to evaluate performance against conversion goals. At Optimizely, they've conducted nearly 2 million tests across over 9,000 brands. The process involves creating a modified version of a page (ranging from a simple button change to a complete redesign), then randomly showing visitors either the original control or the variation. User engagement is measured and analyzed to determine whether changes had positive, negative, or neutral effects on behavior. This method allows teams to make data-driven improvements to user experiences and optimize conversion rates over time.
Watch clip answer (01:51m)
Optimizely
00:00 - 01:52
Why should you optimize for Lighthouse data when your Core Web Vitals are failing?
You should optimize your page based on Lighthouse (lab) data because improvements in these metrics will eventually lead to better Core Web Vitals (field data). Even if your Core Web Vitals are failing while Lighthouse data looks good, focusing on optimizing the lab data is the right approach for long-term improvement. The effects of these optimizations aren't immediate, as it takes approximately 28 days to see the impact of your changes reflected in field data. This lag explains why there might be a temporary disconnect between your Lighthouse metrics and Core Web Vitals scores.
Watch clip answer (00:23m)
Rank Math SEO
04:11 - 04:34
What is the difference between field data and lab data in Google PageSpeed Insights?
Field data captures real user experiences by collecting anonymized data from Google Chrome users who visited your site over the past 28 days. It represents actual performance metrics like Largest Contentful Paint and First Input Delay as experienced by your visitors. Lab data (or Lighthouse data), however, simulates a user visiting your page in a controlled environment with specific hardware and network conditions, such as a mid-tier mobile device on a mobile network. While both measure similar metrics, they often show different results because field data reflects real-world usage while lab data provides a standardized testing environment.
Watch clip answer (03:16m)
Rank Math SEO
00:48 - 04:05
What is Largest Contentful Paint and how does it affect page performance?
Largest Contentful Paint (LCP) measures the time taken for the largest element on your page to load. For example, on a webpage, this is typically an image. A good LCP score is 2.5 seconds or less (shown in green), while 2.5-4 seconds needs improvement (orange), and anything above 4 seconds is poor (red). According to the experts, the best largest contentful element to have is text, as it loads fastest. To optimize LCP for images, you should resize dimensions, reduce file sizes to below 250kB, and use modern formats like AVIF or WebP.
Watch clip answer (01:31m)Rank Math SEO
05:01 - 06:33
What are common mistakes therapists make on their Psychology Today profiles?
Therapists often make five key mistakes on their Psychology Today profiles. First, they stress unnecessarily about the algorithm with constant minor tweaks. Second, they completely ignore their profiles instead of updating crucial information like availability and fee changes. Third, they cast too wide a net by listing every possible therapy topic instead of highlighting a precise focus that builds trust with potential clients. Fourth, they write for colleagues using clinical jargon rather than communicating naturally as they would in session. Finally, many assume a Psychology Today profile is mandatory when it's actually 100% optional. By addressing these mistakes, therapists can create profiles that effectively connect with their ideal clients.
Watch clip answer (05:07m)
Michaela Bucchianeri, PhD
00:03 - 05:11