Digital marketing is a field that is always changing, and data is the key to success. As marketers, we know how powerful it is to tell stories based on data when we report our work to clients. We should not just tell clients what we have done; we should also show them the real results of our hard work. We are excited to share a success story in this article that shows how a data-driven approach can change things for the better.
We grabbed a picture from one of our clients’ websites that shows how much better it has become. Yes, but that is only the beginning. We will talk about 12 important tools that every digital marketer should have in order to fully understand how we got these results and how you can do the same.
Each of these tools gives you different information and options that you can use to get the most out of your data and make smart decisions. Let us look at these tools in more detail and use real-life examples to show how they can help your digital marketing.
1. Google Analytics: How to Use User Behaviour to Your Advantage
The most important tool for web analytics is Google Analytics. It tells you a lot about how well your website works and how people use it. Let us look at a client who runs an online store. According to Google Analytics data, a lot of their visitors were leaving their shopping carts without making a purchase.
After noticing that many people were leaving their shopping carts, we looked more closely at Google Analytics to find the exact steps where these people were leaving. In the Behaviour Flow report, we saw that a lot of users left their shopping carts on the checkout page.
While we were looking more closely, we saw that the checkout process had several steps and that most of the cart abandonment happened on the payment information page. Having this new information, we did the following:
Checkout Process Simplified:
We changed the checkout process so that there are fewer steps and the page with payment information is easier to understand. Users were able to finish their purchases faster and easier after this change.
Option for Guest Checkout:
We added a “guest checkout” option so people could buy things without having to make an account. This made it easier for first-time buyers who might have been hesitant to sign up.
Indicators of Progress:
The checkout process now has clear progress indicators that let users know how far they are and what steps are still to be taken.
To reassure users about the security of their payment information, we included trust badges and security icons.
Abandoned Cart Email Campaign:
Using Google Analytics data, we created an automated email campaign for users who abandoned their carts. These emails reminded users of the items they had left in their cart and encouraged them to complete their purchases.
The results were impressive with these optimisations in place. We were able to track the impact of these changes thanks to Google Analytics:
Cart Abandonment Rate Reduced:
Cart abandonment dropped by 25%, indicating that more users completed their purchases.
Conversion Rate Increased: The checkout page’s conversion rate increased by 20%, demonstrating that the streamlined process was effective.
These enhancements resulted in a 30% increase in website revenue.
2. Google Search Console: Navigating the SEO Landscape
Google Search Console provides critical information about the visibility of your website in search results. It reveals which keywords are driving traffic to your site and highlights potential issues affecting the search performance of your site.
Following a thorough analysis in Google Search Console, we identified a specific keyword that was critical for our client’s industry but was consistently ranking on the second page of Google’s search results.
1. Keyword Analysis:
We began by examining the keyword’s performance in Google Search Console’s Performance report. While the keyword received a lot of impressions, the click-through rate (CTR) was relatively low.
2. Content Optimisation:
To address this issue, we conducted a comprehensive content analysis of the page that targeted that keyword. We improved the content to make it more relevant, valuable, and easy to use. This included improving keyword placement, increasing readability, and incorporating multimedia elements to make the page more engaging.
3. Backlink Strategy:
We focused on building high-quality backlinks to the page in addition to content optimisation. The Links report in Google Search Console allowed us to track the growth of new backlinks as well as the authority of referring domains.
4. Mobile Optimization:
We made sure the page was fully mobile-responsive and optimised for mobile users because Google’s algorithms take mobile-friendliness into account when ranking pages.
5. Performance Tracking:
We closely monitored the performance of the optimised page in Google Search Console for several weeks. We were especially interested in changes in impressions, clicks, and average position for the target keyword.
The use of Google Search Console to improve SEO yielded impressive results:
- Improved keyword ranking: Within a few months, the page began to rise in Google’s search results. It rose from the second page to a consistent first-page ranking for the target keyword.
- Increased Organic Traffic: As the page’s ranking rose, so did its organic traffic. The number of clicks and impressions increased significantly.
- Higher Click-Through Rate (CTR): By optimising the content and meta tags, the CTR increased because more users clicked on the search result when it appeared in Google’s search results.
- Conversion Increase: As users engaged with the content and took desired actions on the website, the increased visibility and traffic resulted in more conversions.
We were able to identify specific SEO challenges, develop a targeted optimisation strategy, and track progress over time by leveraging the insights and tools provided by Google Search Console. This example emphasises the importance of employing data-driven SEO strategies to improve a website’s visibility and, as a result, achieve outstanding results in search engine rankings and organic traffic.
3. Hosting Provider Analytics: A Quick Traffic Overview
Analytics provided by your hosting provider provide a basic overview of your website’s traffic. While not as comprehensive as Google Analytics, it does provide useful information.
For instance, we noticed a sudden increase in traffic for one of our clients. We discovered that a blog post had gone viral on social media, bringing thousands of new visitors to their site. This led us to create more shareable content.
4. CMS Analytics: Navigating User Engagement
If your website is on a content management system like WordPress, plugins like Yoast SEO and Jetpack offer valuable insights.
5. Heatmaps and Session Recording: Visualising User Interactions
Heatmap and session recording tools, such as Hotjar, visualise user interactions on your website.
Hotjar’s heatmap, for example, revealed that users rarely scrolled down a client’s landing page. We changed the layout of the page, which resulted in a 20% increase in scroll depth and engagement.
Consider a scenario in which a client’s website received a lot of traffic but had low conversion rates.
To address this issue, we used Heatmaps and Session Recording tools to gain a better understanding of user behavior:
1. Heatmap Analysis: We used Hotjar to make heatmaps of important website pages like the home page, product pages, and the checkout process. Heatmaps show you where people click, move their cursors, and scroll on a page.
2. Finding Click Patterns: When we looked at the heatmaps, we saw that a lot of people were clicking on things that were not clickable, like images or text that was not linked, instead of the call-to-action buttons that were supposed to be clicked on.
3. Scroll Depth Analysis: The heatmaps also showed that a lot of people were not scrolling down the page to see more content, so they missed important information further down.
4. Session Recordings: We used session recordings to watch real user sessions along with heatmaps. This helped us figure out specific usability problems, like users having trouble filling out forms or pages taking too long to load.
5. Improvement Actions: With these new insights, we made the following improvements:
Accessibility: To make the call-to-action buttons easier for users to find, we made them bigger and more noticeable.
Content Placement: To make important information easier to see without making people scroll, it was moved up on the page.
Form Simplification: To make the checkout process easier for users, we streamlined and made forms less complicated.
Performance Improvements: Technical problems that were slowing down page loads were fixed to make the experience better for users.
These changes, which were based on information from Heatmaps and Session Recording tools, had a huge effect:
Increased Click-Through Rates: We saw a 25% rise in click-through rates on the key call-to-action buttons after making the buttons more visible and improving the layout of the page as a whole.
Better Scroll Depth: People started to scroll further down the page, which made content below the fold 20% more interesting.
Improved Form Completion: Form completion rates went up by 15% after they were streamlined and made easier to use, especially during the checkout process.
Page Load Times: Fixing technical problems cut page load times by 30%, making users happier and improving the site’s overall performance.
6. Social Media Insights: Understanding Your Audience
Insights are a great way to learn about how your audience acts on social media sites like Facebook, Twitter, and Instagram.
By looking at Facebook Insights, we found that the people who follow our client were most active on Sundays. Post engagement went up by 25% after posting schedules were changed to match.
We used Social Media Insights to learn more about the audience in order to solve this problem:
1. Platform Analysis: We looked at the client’s main social media accounts on sites like Facebook, Twitter, and Instagram. The insights for each platform gave useful information about how users behaved on that channel.
2. Audience Demographics: We looked at the age, gender, location, and interests of the audience to find out what characteristics were important. This helped us make content that was more targeted and useful.
3. Performance of Content: Social Media Insights let us see how well each post did in terms of reach, engagement, and click-through rates.
4. Posting Schedule: We looked at when posts were made to see when people were most active and interested on each platform.
5. Type of Content: We looked at the kinds of content that people liked best, like pictures, videos, links, and infographics.
Actions for Optimisation:
With the information we got from Social Media Insights, we did the following to improve things:
Tweaked Content: We made sure that the content fits the tastes and interests of the different types of people in the audience. For instance, if we found that a lot of people were interested in technology, we made more content about technology.
Best Time for Posting: We changed the times of the posts to match the times when people were most likely to be online. This made sure that as many people as possible saw our content.
Content Variety: We used different kinds of content to keep people interested. This meant making graphics that looked good, sharing videos that taught people something, and posting links to relevant articles.
Strategies for Engagement To build a sense of community, we got people involved by running contests, polls, and user-generated content campaigns.
Based on what Social Media Insights told us, these optimisation steps had a big effect:
Increased Engagement: The number of likes, comments, and shares on social media posts went up by 40%, which is a big change.
More clicks than expected: Click-through rates on social media links went up by 25% when more targeted and relevant content was shared.
Growing Follower Base: The client’s social media following grew by 20% thanks to better engagement and relevant content.
Improved Brand Sentiment: Audience feedback showed that they felt better about the brand, which shows that the engagement strategies worked.
We were able to greatly improve the client’s social media presence, engagement, and overall brand perception by using Social Media Insights to learn more about the audience and then changing content and strategies to fit. This example shows how important it is to use data-driven insights to make sure that your social media strategy fits the likes dislikes and actions of your audience.
7. Email Marketing Analytics: Measuring Campaign Success
Email marketing platforms such as MailChimp and Constant Contact provide detailed analytics on open rates, click-through rates, and conversions.
For example, we A/B tested different email subject lines and discovered that personalisation increased open rates by 10%.
To solve this problem, we used Email Marketing Platform analytics to gain a better understanding of campaign performance:
1. Open Rates Analysis: We began by examining the open rates of the client’s email campaigns. This information revealed how many recipients opened and interacted with the emails.
2. Click-Through Rates (CTR): Using CTR data, we were able to assess the effectiveness of the email content in influencing recipients to take desired actions, such as visiting the website or making a purchase.
3. Conversion Tracking: We tracked email campaign conversions such as sign-ups, downloads, purchases, and any other desired actions.
4. A/B Testing Results: A/B testing features in email marketing platforms allow us to compare different elements of email campaigns, such as subject lines, visuals, or call-to-action buttons, to determine which versions perform best.
5. Subscriber Segmentation: To send more targeted and personalised content, we segmented the email list based on various criteria such as demographics, behaviour, or engagement levels.
We took the following optimisation actions, armed with insights from Email Marketing Platform analytics:
Subject Line Testing: We identified which types of subject lines resonated most with the audience by analysing the results of A/B tests on subject lines and incorporating them into future campaigns.
Personalisation of content: Subscriber segmentation enabled us to tailor content to specific audience segments. This resulted in more relevant and engaging emails.
Mobile Optimisation: We made sure that email templates worked well on mobile devices because many people read their emails on their phones.
Reactivation Campaigns: To get inactive subscribers to sign up again, we made reactivation campaigns with special deals or rewards.
Based on what we learned from Email Marketing Platforms, these optimisation steps had a big effect:
Increased Open Rates: Subject line testing and personalising the content led to a 20% rise in open rates.
Higher Click-Through Rates: When content was optimised for mobile devices, CTR went up by 30%.
Better Conversion Rates: Campaigns for targeted segmentation and reactivation helped boost conversion rates by 25%.
Better ROI: The client’s return on investment (ROI) from email marketing went up by 15% because more people opened and clicked on their links.
We improved the client’s email marketing effectiveness, engagement, and ROI by using Email Marketing Platform analytics to measure and optimise campaign performance. This example shows how data-driven insights can improve your email marketing strategy.
8. Custom Feedback and Surveys: Direct User Input
Visitors can provide direct feedback via website surveys or feedback forms.
Example: A survey showed that our client’s checkout process confused users. We streamlined the process, resulting in a 15% increase in conversion rates.
We used custom surveys and feedback forms to get website visitors’ insights to solve this problem:
1. Survey Design: We created a simple, non-intrusive survey or feedback form for visitors to complete after leaving the site or after certain interactions.
2. Open-Ended Questions: We asked users about their thoughts, challenges, and suggestions for the website’s content, layout, and user experience.
3. Closed-Ended Questions: We also collected quantitative data using rating scales and multiple-choice questions about the site.
4. Response Analysis: After receiving survey responses, we analysed them to identify pain points, areas for improvement, and user behaviour patterns.
5. Issue Prioritisation: We ranked issues by severity and frequency of user feedback. This allowed us to focus on addressing the most critical concerns first.
We did the following things to improve things based on what we learned from custom surveys and feedback forms:
Better content: Users’ feedback often gave specific ideas for how to make content better, like giving more information about prices or writing more detailed descriptions of products.
Improvements to the User Experience: We found usability problems through feedback and fixed them by changing the layout, navigation, or placement of calls to action to make the experience easier for users to understand.
Fixing technical bugs: Users often complained about technical problems, like links that did not work or pages that took a long time to load. These problems were quickly fixed to make the site work better.
Communication Improvement: The feedback also pointed out communication problems, like messages that were not clear or not enough contact information. We improved parts of communication to strengthen user trust and confidence.
By using custom surveys and feedback forms to get direct feedback from website visitors and acting on that feedback, we were able to make changes based on data that made the user experience and overall performance of the site much better.
9. UTM Parameters: Tracking Campaign Success
You can keep an eye on how well promotional campaigns are doing across different channels by using Urchin Tracking Module (UTM) parameters.
For example, we found that our newsletter consistently brought in the most traffic and sales by using UTM parameters in our email campaigns.
To deal with this problem, we set up UTM Parameters to keep track of how well our campaigns were doing and collect useful information:
1. UTM Tagging: To begin, we added UTM parameters to the URLs of campaign assets, such as brochures, paid ads, email newsletters, and even social media posts. Some of these parameters were source, medium, campaign name, and more.
2. Integration with Analytics Tools: We made sure that the data from the UTM parameters worked well with our analytics tools, like Google Analytics. This made it easy for us to get to and look at data that was specific to each campaign.
3. Checking Performance: Once the UTM parameters were set, we carefully watched how each campaign did. To do this, you had to keep track of clicks, conversions, bounce rates, and conversion rates that were unique to each campaign.
4. A/B Testing: For some campaigns, we used A/B tests to see which parts (like ad copy, images, and landing pages) actually worked best to get people to engage with and buy from us.
5. Analysis of the Data: As the data came in, we looked at it to find trends, patterns, and the campaigns that worked best.
With the information we got from UTM Parameters, we did the following to improve things:
Budget Allocation: We changed how the marketing budgets were spent based on how well the different campaigns did. More resources were put into campaigns that were doing well, while campaigns that were not doing well were changed or stopped.
Content Changes: We used the results of an A/B test to change the content of campaigns that did not convert as well in order to get people more interested.
Segmenting the Audience: We used campaign-specific data to improve our targeting of audiences and make sure that our messages reached the most receptive groups.
Channel Optimisation: We found the marketing channels (like social media, email, and pay-per-click) that brought in the most visitors and sales. This helped us make the best use of our resources by giving them to channels that were doing well.
We turned our client’s marketing strategy into a data-driven powerhouse by using UTM Parameters to track and analyse campaign performance. This allowed for precise budget allocation, content optimisation, and audience targeting. This example shows how important data-driven marketing is and how UTM parameters can be used to judge the success of advertising campaigns.
10. Competitor Analysis: Staying Ahead
You can find out about your competitors’ website traffic and performance with tools like SEMrush and Ahrefs.
When we looked at a competitor’s content strategy, it inspired us to make similar high-performing content, which led to a 40% rise in organic traffic.
To solve this problem, we started a journey of studying our competitors in order to get an edge:
1. Figure out who the main competitors are: We made a list of the client’s direct and indirect main competitors in the industry.
2. Website Audit: We carefully looked at all of our competitors’ websites, checking things like design, user experience, content quality, load times, and how well they worked on mobile devices.
3. Content Analysis: We looked closely at the competitors’ content strategies, reading about the kinds of content they were making, how often they were updating their content, and how well it connected with their target audience.
4. SEO Analysis: To look at our competitors’ organic search rankings, keyword strategies, and backlink profiles, we used SEO tools such as SEMrush and Ahrefs. We wanted to find out what keywords they were ranking for and what they could do better.
Social Media and Marketing Plans: We looked at our competitors’ social media profiles, ad campaigns, and email marketing plans to see how they interacted with their followers and promoted their goods and services.
Using the knowledge gained from the competitor analysis, we implemented the following optimisation strategies:
Website Enhancements: We determined how the client’s website could beat rivals in areas like load speed optimisation, content quality improvement, and user experience enhancement.
Keyword Strategy: We targeted high-value keywords and found gaps in the client’s strategy by using the insights from competitors’ keyword rankings.
Content Strategy: By looking at what competitors were writing, we were able to write about topics and questions that competitors were not covering. This made the client an authority in the field.
Marketing Insights: We took successful marketing strategies from competitors’ campaigns and changed them to fit the client’s products and customers.
These actions to improve performance, which were based on information from analysing competitors, had a big effect:
Better Website Performance: The client’s website’s page load speed went up by 15%, which made the experience better for users.
Higher Organic Rankings: The client’s website started ranking higher for keywords that were strategically chosen, which led to a 20% rise in traffic from organic search results.
Higher Engagement with Content: Better quality content made users 25% more interested and kept them on the site longer.
Competitive Advantage: The client got ahead in the market by copying competitors’ successful strategies and playing on their weaknesses.
Competitor analysis was critical in assisting the client in staying ahead in a competitive landscape. This example emphasises the importance of regularly assessing your competitors’ strengths and weaknesses in order to inform your own digital strategy.
11. Customer Relationship Management (CRM) Software: Tracking Interactions
CRM systems such as HubSpot and Salesforce assist in tracking customer interactions and collecting data on leads and conversions.
For example, after analysing CRM data, we discovered that sending follow-up emails within 24 hours of initial contact resulted in a 25% increase in lead conversion rates.
To address this issue, we implemented CRM software to track interactions and collect valuable lead and conversion data:
1. CRM Integration: We chose and implemented a CRM software solution that integrated seamlessly with the client’s website and marketing platforms. This enabled the automatic collection and organisation of customer data.
2. Lead Management: On the website, we set up lead capture forms to collect information from potential customers. This data was automatically fed into the CRM system, resulting in a centralised lead database.
3. Customer Profiles: In the CRM system, each lead or customer was assigned a profile that included detailed information such as contact information, communication history, purchase history, and any specific preferences or requirements.
4. Sales Funnel Tracking: We set up the CRM to track leads as they progressed through the sales funnel, allowing us to track their progress from initial contact to conversion.
5. Automation and Notifications: Automation rules were set up to streamline processes like sending automated follow-up emails or assigning leads to specific sales representatives. Notifications were set up to notify sales teams to follow up with leads as soon as possible.
We took the following optimisation actions armed with CRM software insights:
Lead Nurturing: We were able to implement lead nurturing workflows using the CRM system, which involved sending targeted emails and content to leads at various stages of the sales funnel.
Personalisation: We personalised interactions with leads and customers by using CRM data to address their specific needs and preferences.
Sales Process Improvement: Using CRM insights, we identified bottlenecks in the sales process and made the necessary changes to streamline conversions.
Cross-Selling and Upselling: We were able to identify opportunities for cross-selling and upselling additional products or services thanks to the CRM system’s visibility into customer purchase history.
We improved the client’s ability to convert leads into customers, improve customer retention, and drive revenue growth by utilising CRM software to track customer interactions, manage leads, and optimise sales processes. This example emphasises the significance of CRM systems in centralising customer data and enabling data-driven sales and marketing strategies.
12. E-commerce Analytics: Optimising Sales
Platforms like Shopify and WooCommerce provide built-in analytics for tracking sales, conversion rates, and customer behaviour for e-commerce websites.
For example, we discovered through e-commerce analytics that offering free shipping on orders over €50 resulted in a 20% increase in average order value.
To address this issue, we used E-commerce Analytics to improve sales and overall website performance:
1. Data Integration: To collect data on user behaviour, sales transactions, and product performance, we integrated E-commerce Analytics tools such as Google Analytics, Shopify Analytics, or WooCommerce Analytics with the client’s e-commerce website.
2. Sales Funnel Analysis: We examined the entire sales funnel, from the time a user visits the website to the time they make a purchase. Metrics such as website visits, product views, add-to-cart actions, and completed purchases were tracked.
3. Product Performance: We identified top-performing products, best-selling categories, and underperforming items using analytics data. This data influenced decisions about product displays and promotions.
4. Conversion Rate Optimisation (CRO): We performed extensive CRO audits to identify pain points in the user journey. A/B testing was used to test various elements, including product page layouts, checkout processes, and call-to-action buttons.
5. Analysis of User Behaviour: We looked at user behaviour such as session duration, page views, and bounce rates. This helped us understand how users navigated the website and where they might be losing interest in the sales process.
Using what we learned from E-commerce Analytics, we did the following to improve things:
Website Speed Optimisation: We lowered the time it took for websites to load based on analytics data to lower bounce rates and make the experience better for users.
Mobile Responsiveness: The data showed that a lot of the traffic came from mobile devices, so we made the site better for those users.
Abandoned Cart Recovery: To get back sales that might have been lost, we set up email campaigns to remind people who had put items in their shopping carts but did not finish the purchase.
Product Recommendations: We used analytics data to create product recommendation algorithms that show users related items that they might like as they shop.
Utilising E-commerce Analytics to comprehend user behaviour, streamline the sales funnel, and make data-driven enhancements, we greatly enhanced the performance of the client’s e-commerce website, leading to more sales and happier users. This example shows how important it is to use analytics to boost sales and give online shoppers a smooth experience.
If you use these 12 tools as part of your digital marketing plan, your efforts will become data-driven successes. When you are collecting and analysing data, do not forget to protect user privacy and follow the rules for data protection.
In conclusion, use data to help you make decisions, and your digital marketing campaigns will do well. Knowing what tools you have access to and how to use them well is the first step to success.