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How do you use data to improve your marketing decisions?
- Aug 17
- 5 min read
Updated: 4 days ago
Introduction
Marketing today is no longer based on intuition or luck. Rather, it has become an exact science guided by numbers, supported by data, and led by analysis. Whether you run an online store, a local restaurant, or a service company, making data-based marketing decisions can make... A big difference in the growth of your project and the success of your campaigns.
But, how do you start? What type of data do you need? How do you benefit from it practically in formulating your decisions?
In this article, we provide you with a comprehensive guide explaining how Data is used to improve your marketing decisions, with live examples, tools and applications.
First: What is meant by marketing data?
Marketing data is all the information collected from customer interactions with your business or advertising campaigns. This data includes:
The number of visitors to your website or store.
Visitor behavior within the site (pages they viewed, length of time).
Conversion rate (from visitor to buyer).
Demographic data (age, gender, location).
Type of devices used (mobile, computer).
Results from ad campaigns (CTR, CPA, ROI).
Customer comments and reviews.
All of this information can be converted to More accurate marketing strategic decisions.
Second: Why is data an essential element in modern marketing?
✅ Because it gives you A realistic view of your audience's behavior Instead of assumptions.✅ Help you Improving the performance of advertising campaigns Constantly.✅ Enables you to Measuring return on investment (ROI) Accurately.✅ reveal to you What is working, and what needs to be modified or eliminated. ✅ It enables you to Personalize your customer experience And achieve higher results.
Third: Types of data you should track
1. Digital performance data
Indicator
Its meaning
Number of visitors
How many people visited your website or store?
Bounce rate
How many people left without interacting?
Session duration
How many minutes the user stayed on the site
Most visited pages
What are the most engaging products or articles?
2. Advertising campaign data
Indicator
Its meaning
CTR (Click Rate)
How many people clicked on the ad compared to the number of people who saw it
CPC (Cost Per Click)
How much did each click cost you?
CPA (Cost Per Acquisition)
How much did you pay to get an actual client?
ROAS (return on advertising spend)
How much did you earn for every riyal spent?
3. Customer data
Age, gender and geographic location
Purchasing behavior (what did he buy? When? How much?)
Average number of visits before purchase
Purchase frequency
4. Customer satisfaction data
Google Reviews
Instagram and Facebook comments
Results of satisfaction surveys
Net Recommendation Score (NPS)
Fourth: How do you use this data to make better marketing decisions?
1. Determine the right audience for your campaigns
By tracking customers' ages, locations, devices, and interests, you can:
Design content that suits your audience.
Ads are more precisely targeted.
Avoid spending money on uninterested segments.
🎯 Example: If most of your visits are from women between the ages of 25 and 35 from Jeddah, focus your content on them, and tailor your campaigns to this group specifically.
2. Improving the pages of the website or online store
Using tools like Google Analytics or Hotjar you can:
Knowing which pages achieve high traffic but low sales ➤ You need to improve conversion.
Track visitor behavior ➤ Where do they click? Where does it come out? Where does it stop?
Reduce bounce rate ➤ by improving user experience and simplifying navigation.
3. Adjust ads and improve performance
By analyzing:
Highest click ads.
Ads that generate actual sales.
Compare cost of acquisition with return.
You could:
Redirect budget towards successful advertising.
Changing ineffective ad texts or designs.
Experimenting with new ad types (video, images, interactive…).
4. Product or service development
Through customer feedback, you can discover:
Problems with a specific product.
Desire for additional benefits.
Ideas for new campaigns based on actual product usage.
📌 Tip: Collect customer feedback regularly, and watch for recurring patterns.
5. Timing of campaigns and offers
Temporal data helps you determine:
Best time to launch the campaign (morning, evening, weekend).
Months or seasons in which purchasing increases.
Peak days within the week.
🕒 Example: If you notice that Friday is your highest sales day, make your main campaigns launch on Thursday evening.
Fifth: Marketing data analysis tools (free and paid)
Tool
Use
Google Analytics
Track visitors' movement and behavior
Google Search Console
Analyzing site performance in search engines
Facebook Ads Manager
Performance of campaigns on Facebook and Instagram
TikTok Ads Dashboard
TikTok ads
Hotjar
Mouse movement tracking and interaction maps
Hubspot
CRM and customer analysis tools
Google Data Studio
Design custom, data-driven reports
Sixth: Key indicators that must be monitored monthly
Indicator
Purpose
Number of visitors
Measure the spread of the brand
Conversion rate
Evaluate the effectiveness of the site
Cost of acquisition
Determine advertising efficiency
Average order value
Improve profitability
Interaction rate on content
Measuring the effectiveness of content marketing
Number of new versus repeat customers
Understanding purchasing structure
Seventh: Practical steps to start analyzing data
1. Determine your marketing goals
Do you want:
Increase the number of customers?
Improve sales?
Reduce the cost of advertising?
Know your audience better?
Start by asking: What do I want to know? Then find the linked data.
2. Start collecting data
Activate Google Analytics on your site.
Connect your ad accounts to analytics tools.
Collect ratings and comments from customers.
Use simple questionnaires to understand their experience.
3. Analyze data regularly
Make data analysis part of your weekly or monthly work.
Create a simple dashboard.
Follow the 5 most important indicators monthly.
Record the changes, and ask why they happened.
4. Make decisions based on numbers
If a particular ad generates the highest sales ➤ Increase its budget.
If a particular product is not selling ➤ Reprice it or remove it from the campaign.
If there is a particular time of great activity, ➤ focus on it.
Eighth: Real use cases
📍 Case #1: Fast food restaurant
The restaurant noticed that the click-through rate on their ads was high but orders were low. Through the data, they discovered that the landing page was slow to load ➤ After optimization, the number of orders increased by 40%.
📍 Case #2: An online store for care products
Data shows that visitors visit the product, but do not purchase. By reviewing the comments, the product description was found to be insufficient ➤ After adding a demo video and more details, the conversion rate increased by 22%.
📍 Case #3: An advertising campaign during Ramadan
A small company monitored the performance of two ads:
The first contains a display.
The second contains a short story about a happy customer.
The second advertisement achieved a higher ROAS of 80% ➤ so the company decided to rely more on customer stories.
Conclusion
Data is not just numbers in boring reports...it is Smart decision fuel In marketing.
When you use data effectively, you:
Reduce expenses.
Increase return.
Understand your audience.
Improve your products.
And outperform your competitors.
Start today with one simple step: Ask yourself one question...and collect data to answer it. From there, you'll begin your journey toward stronger, smarter, faster-growing marketing.
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