Hey everyone! Welcome to my page where I go over how many site visits that my website received over this past semester. I will break down its purpose and function with the help of ChatGPT and Google Analytics.
Key metrics introduction (User acquisition, Page Views & Unique Page Views, Demographic details)
When analyzing the success and performance of a website or digital platform, key metrics such as User Acquisition, Page Views and Unique Page Views, and Demographic Details play a crucial role. Here’s a breakdown of what these metrics mean and their importance:
1. User Acquisition
This metric tracks how visitors discover your website or platform. It includes insights into:
- Channels: Organic search, social media, email marketing, paid ads, or direct traffic.
- Campaigns: Effectiveness of specific marketing efforts.
- Referral Sources: Websites or sources driving visitors to your platform.
Why It Matters:
Understanding user acquisition helps identify which channels and strategies are most effective in driving traffic, enabling optimization for better reach and conversion rates.
2. Page Views & Unique Page Views
- Page Views: Total number of times any page on your website has been viewed. This includes repeated views by the same user.
- Unique Page Views: The number of sessions in which a page was viewed at least once. Multiple views by the same user in the same session count as one unique view.
Why It Matters:
These metrics reveal the popularity of content and help assess user engagement. A high number of views indicates interest, while unique views highlight how many distinct sessions engage with your content.
3. Demographic Details
This includes data about the audience’s age, gender, location, interests, and device preferences. Typically gathered through tools like Google Analytics or Meta Insights, it offers a snapshot of who your users are.
Why It Matters:
Demographic data helps tailor content, design, and marketing efforts to suit your audience’s preferences, improving user experience and engagement.
Here is the prompt I used to help simplify my data
“When I sorted the average engagement time in descending order in the First user source/medium classification, the following result came out. Please explain”
To which I got the response :”Your data suggests the following:
- LinkedIn (1m 38s): Users from LinkedIn are highly engaged, indicating strong alignment between your content and their expectations. Consider investing more in LinkedIn marketing.
- Direct/None (19s): Users coming directly to your site show low engagement, possibly due to unclear navigation or irrelevant landing pages. Improving the homepage or direct links could help.
- Bing/Organic (0s): Users from Bing are not engaging at all, suggesting poor targeting or technical issues like incorrect page loading. Check your SEO strategy and landing page performance for Bing users.
Focusing on LinkedIn and addressing the issues with direct and Bing traffic will improve overall engagement.”
I then used the same prompt with my average engagement time data and entered that into ChatGPT.
“Here’s a breakdown of the engagement data:
- Black Hills Energy SEO (1m 1s): Strong engagement indicates effective SEO practices and valuable content. This area is performing well and worth maintaining or expanding.
- CHS Inc. SEO Practice (1m): Similarly high engagement suggests that the SEO strategy is resonating with the audience. Continue optimizing this area.
- Blog (58s): Close to the top performers, showing your blog is engaging, but there’s room to refine content to boost engagement further.
- Black Hills Energy (47s): Moderate engagement. Evaluate whether the content aligns with user intent and optimize pages to retain attention longer.
- Analyzing Reviews with ChatGPT (45s): Slightly lower engagement. Consider making the content more interactive or detailed to hold user interest.
Focus on maintaining high-performing areas like SEO while enhancing blogs and reviews content for better engagement.”
I then asked its opinion of my new users by entering the data.
Here’s how the New Users data relates to engagement:
- LinkedIn (3): While the number of new users is low, their high engagement time (1m 38s) indicates quality over quantity. LinkedIn is attracting a niche but highly engaged audience.
- Direct/None (100): Despite the high number of new users, the engagement time (19s) is low. Many direct users may be bouncing, which suggests a need to improve landing pages or refine targeting strategies.
- Bing/Organic (7): Bing brings a small number of users with no engagement (0s), pointing to ineffective targeting or potential technical issues.
Next Steps:
- Focus on leveraging LinkedIn further to grow its audience while maintaining engagement.
- Investigate why direct users have low engagement and optimize their experience.
- Analyze your Bing strategy to improve relevance or fix potential technical errors.
Importance of Metrics for Page Screens and Average Engagement Time
Average Engagement Time:
- Reflects how much time users actively spend on the content.
- A longer engagement time indicates that the content is engaging and relevant, helping to leave a positive impression on users.
Views:
- Measures the number of times the content has been accessed.
- A high view count suggests effective discovery and consumption of the content, which boosts visibility.
- It also highlights the success of promotional efforts, such as LinkedIn campaigns or email marketing.
Users:
- Represents the number of unique individuals interacting with the content.
- This metric is valuable for understanding the size and diversity of your audience.
I then input my data of average my page screen and title class.
Here’s the analysis for Engagement by Page Screens and Average Engagement Time:
- Black Hills Energy SEO (1m 1s): This page has the highest engagement, indicating strong interest in your SEO content. It’s effective; consider expanding this type of content.
- CHS Inc. SEO Practice (1m): Similarly, this page is performing well, showing a high level of user interest and interaction. Keep optimizing and producing related content.
- Blog (58s): Good engagement, but slightly behind SEO-focused content. Enhance blog content with visuals, better formatting, or interactive elements to improve engagement.
- Black Hills Energy (47s): Moderate engagement indicates users are interested but not as engaged as with SEO content. Review the page to ensure it aligns with user intent.
- Analyzing Reviews with ChatGPT (45s): Lower engagement suggests this page might need more engaging content or structure. Try incorporating examples, graphics, or deeper analysis to hold attention longer.
Focus Areas:
- Build on the success of the SEO-related pages with similar content strategies.
- Improve blogs and review pages with more interactive or targeted content to boost engagement.
- Evaluate content and layout for pages with underperforming engagement.
Then for the views per page.
ere’s the analysis of Views data:
- Flying H Digital (135): This page has the highest views, showing significant interest. Capitalize on its popularity by promoting related content or including CTAs to drive conversions.
- Blog (46): Solid performance. Continue producing engaging blog content to maintain and grow traffic.
- Black Hills Energy SEO (18): Lower views but strong engagement (1m 1s from previous data). Promote this page more to attract traffic, as it holds user interest well.
- CHS Inc (17): Similar to Black Hills Energy SEO, views are low, but engagement (1m) suggests quality content. Increase visibility through SEO or internal linking.
- Contact (17): Average views for a utility page. Consider adding compelling CTAs to encourage users to interact further.
Recommendations:
- Focus on increasing visibility for lower-view, high-engagement pages (e.g., Black Hills Energy SEO and CHS Inc).
- Continue leveraging your blog’s performance by publishing regularly and promoting through relevant channels.
- Optimize Flying H Digital to maximize conversion opportunities given its popularity.
Then — for my page users as well.
- Flying H Digital (81): The highest number of users indicates this page is drawing significant attention. Ensure the content and CTAs are optimized to retain users and convert their visits into actions.
- Contact (16): Good traffic for a contact page, suggesting users are interested in reaching out. Enhance the page with features like a chatbot or FAQs to boost usability.
- Black Hills Energy SEO (11): Low user count but high engagement time (1m 1s). Promote this page to attract more users, as it delivers value to those who visit.
- About (6): Low traffic. Make the “About” page more accessible or engaging by linking it in prominent areas or updating its content with compelling storytelling.
- Blog (6): Despite decent views (46), the low user count suggests repeat visits from the same audience. Consider driving new traffic with promotions, social media, or SEO enhancements.
From there I wanted to dig deeper into my target demographic and added the following prompt with the information from my spreadsheet, which can be found below.
“Let’s begin the analysis assuming my cities of interest are Spearfish and des moines. Country and city classification, the following result came out. Please explain When I sorted Engagement rate in descending order in the Country and city classification, the following result came out. Please explain When I sorted Average engagement time in descending order in the Country and city classification, the following result came out. Please explain When I sorted Engaged sessions per user in descending order in the Country and city classification, the following result came out. Please explain Finally, please provide a conclusion based on the answers to these four questions.” To which I got the following answer.
Explanation of Results:
1. Users Sorted in Descending Order
- Des Moines (17): Higher user count indicates more traffic from Des Moines, but these users are less engaged (e.g., 0s average engagement time and low engagement rate). This suggests either irrelevant content or mismatched targeting.
- Spearfish (5): Lower user count but very high engagement (e.g., 2m 32s average engagement time and a 62.5% engagement rate). The content strongly resonates with this audience.
2. Engagement Rate Sorted in Descending Order
- Spearfish (62.5%): This is the highest engagement rate, reflecting strong content alignment with users’ expectations and interests.
- Des Moines (5.88%): Very low engagement rate indicates that Des Moines users are not finding the content relevant or compelling.
3. Average Engagement Time Sorted in Descending Order
- Spearfish (2m 32s): The longest engagement time highlights the strong connection with content.
- Des Moines (0s): A lack of engagement time suggests users may be bouncing quickly, likely due to irrelevant or unappealing content.
4. Engaged Sessions per User Sorted in Descending Order
- Spearfish (4.0): Users are highly engaged, visiting multiple pages or returning to the site.
- Des Moines (0.06): Minimal engaged sessions per user underline the low interest or relevance for this audience.
Conclusion
- Spearfish: Although the user base is smaller, Spearfish visitors are highly engaged, spending significant time on the site and interacting more frequently. This indicates that your content strongly resonates with this local audience.
- Des Moines: While there are more users, they have low engagement and minimal interaction. This suggests a need to either optimize content for this audience or reevaluate targeting strategies.
Recommendations:
- For Spearfish:
- Focus on increasing user acquisition through local promotions, SEO, or partnerships.
- Maintain the current content strategy, as it clearly appeals to this audience.
- For Des Moines:
- Identify user needs and refine content to better suit their interests.
- Consider retargeting campaigns or adjusting the user journey for visitors from this city.
- General:
- Use Spearfish as a model to improve engagement in other locations.
- Conduct additional research (e.g., surveys) to understand why Des Moines users aren’t engaging.
