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8 Factors that Affect Page Load Time & Website Optimization Strategies

4 minutes, 0 seconds read

A website’s page load time plays an important role in customer acquisition. Google states that if your website takes more than 3 seconds to load, over half of the visitors will leave it. Eventually, it leads to conversion and profits. Although there are online tools available to check your website loading time and performance (Lighthouse, for instance), it’s important to understand what affects your website’s page load time. You can then optimize your web page accordingly.

8 Factors that affect the page load time

#1 Web hosting

Today, no one would like to wait for a website to spin and load at its speed. Websites that load quickly perform more in user engagement, conversion rates, and user experience. Hence, it is very important to have a high-availability web hosting plans.

#2 Size of files

The page speed always depends on the size of the assets loaded on the browser. It is, therefore, good to have an optimum number of assets with the least possible file size. This will require lesser bandwidth.

#3 Number of HTTP requests

Greater the number of HTTP requests from a browser to server/server to server, the higher will be the bandwidth consumption. Therefore, keep the number of HTTP requests to the minimum possible.

#4 Absence of CDN

Using CDN will boost the performance of the web site. The absence of it will affect the load time. CDN is a content delivery/distribution network. It is a network of proxy servers and their data centres distributed across the globe to increase the performance and availability of services to the end-users.

#5 Mediocre coding

Bad coding will always affect the page performance and SEO ranking of the website. It is good to follow best practices starting from the initial stage of development.

#6 The number of redirections

The number of redirections impacts the DNS lookup time.

#7 Lack of Keep-Alive

If you’re using HTTP/1.0 protocol and have not configured Keep-Alive, then there’s a higher possibility that the browser to server connection will break. It will not load the page properly. 

#8 Hotlinking

Sourcing page content from other sites might affect the load time and performance of your website.

You might also like to read about 11 proven techniques to optimize website performance.

Strategies and checklist for website optimization

You can implement either bottom-up or top-down strategy for website optimization (discussed later). However, website optimization is an iterative process and you can repeat the following loop after completing a cycle.

How to optimize the website - Infographic
  1. Ideas: Prepare a checklist of all the possible strategies for the target website to optimize.
  2. Prioritize: Prioritize the prepared checklist strategies and act on them.
  3. Test: Test the applied strategies for enhanced performance.
  4. Analyze: Analyze the impact and performance of the website and check if any further strategies are required.
  5. Optimize: For further enhancement, perform the cycle again until you achieve the best.

#1 Bottom-up strategy

This strategy starts from planning to production (Proactive). It defines a set of rules and actions before/while starting the actual development.

Bottom up strategy for website optimization

The above infographic represents the lifecycle of Bottom-Up strategy in web page optimization.

#2 Top-down strategy 

It is a reactive method, which analyses the existing process to find the issue/lag, then reworks on behavioural grounds to accomplish the target. It is a reverse engineering process to identify the performance-issue gap and methods to fix them.

You can identify the resources which are affecting in maximum page load by considering the following-

  • Resource size
  • Asset positioning
  • Render blockers
  • Uncompressed contents
  • Bad requests

Once you’ve identified the sources, lay down the process of optimizing the content and keep iterating to achieve the desired results. 

Basic checklist for both bottom-up and top-down strategies 

  1. Layout performance principles
    1. Page load time
    2. Responsiveness
    3. Minimizing the number of requests
    4. Use Cache headers
    5. Minify CSS and JS contents
    6. Use CSS sprites
    7. Encourage Lazy loading on contents wherever possible
    8. Avoid iframes and redirects
  2. Executive performance principles
    1. During application design
    2. During application development

Consider the following aspects during the design and development phase.

#1 Application design optimizations

  1. Simple & lightweight: Include only key functionalities on load to keep it lightweight.
  2. Client side components: Adopt client side validation to catch errors.
  3. On demand data loading: Use on-demand data instead of pre-loaded data. (E.g. use paginations, pop-up contents on click instead of on load)
  4. Asynchronous calls: Adopt implementation of AJAX calls from the presentation tier and the business tier.

#2 Application development optimizations

  1. Include JS files at the bottom of the page (to avoid render blocking of page).
  2. Combine multiple CSS files and optimize unwanted rules as per page requirements.
  3. Avoid using external scripts at the beginning of the page.
  4. Combine smaller images/icons to sprite & have optimi.
  5. Use CSS rules/files in the head section of the document.
  6. Reduce the number of requests to server.
  7. Implement server/browser caching on possible sections.
  8. Implement Mobile-specific sections to avoid overloading on small screen devices.

Below are few improvisation observations which are affected by optimizing the Webpage and it’s assets.

UI performance optimization and the performance gains - Infographic

We’re technology tinkerers, experimentalists, and experts in customer experience consulting. Get in touch with us at hello@mantralabsglobal.com to know more about our ventures in website design and experience consulting. 

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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