Stop Guessing, Start Knowing
Digital marketing provides companies with more information than ever about their business.
Visitors to websites, engagement analytics, sources of leads, and campaign performance are all very important.
However, this information is useless without context and direction.
Interpreting data and taking action on it is the difference between collecting information and successfully analyzing it to make better marketing decisions.
What Is Data-Driven Digital Marketing?
Data-Driven Digital Marketing
Data-driven digital marketing refers to relying on information to understand the needs of the customers, assessing the performance of a business’s marketing efforts, and making better future decisions. Instead of asking such questions as “What do you think will work?” businesses can utilize data and analyze it to find out “What is happening?” The information that businesses gather and analyze can help them to identify:
“What do we think will work?”
Businesses can ask:
“What does the data tell us?”
Data can help marketers understand:
- Their customers who are interacting with the brand
- The most effective marketing channels
- The type of content that works best
- Where customers are abandoning the brands
- Which campaigns are generating leads
The areas that need improvement
Why Does Data Matter in Digital Marketing?
Without the right data, it’s easy for marketers to waste time and resources on ineffective initiatives
For instance, a social media post that gets plenty of hits but little inquiries
or a campaign that gets fewer impressions but multiple leads.
By analysing impressions, you might conclude the first post was more effective.
Consider the business impact of your data and insights.
From Data to Decisions
Data becomes valuable when it leads to action.
A simple process looks like this:
For example,
Data: A landing page is getting traffic, but few people are asking for more information.
Insight: The value proposition or CTA may not be clear.
Decision: Revise the landing page copy and CTA.
Action: Test the new version of the landing page and track conversions.
This is an example of a PDSA cycle.
What Digital Marketing Data Should You Track?
You do not have to track everything.
Stick to the metrics that will help you achieve your business goals.
Website Data
•Traffic
• Landing-page performance
• Engagement
• Leads
• Conversions
SEO Data
• Search visibility
• Organic traffic
• Keyword performance
• Click-through rate
• Conversions from organic search
Social Media Data
• Reach
• Engagement
• Video views
• Profile visits
• Link clicks
• Leads
Advertising Data
• Impressions
• CTR
• CPC
• Conversion rate
• CPA
• ROAS
Depending on the business goals, different metrics need to be tracked.
Vanity Metrics vs Business Metrics
| Vanity Metrics | Business-Focused Metrics |
|---|---|
| Likes | Leads |
| Impressions | Conversions |
| Follower count | Qualified enquiries |
| Views | Revenue |
| Reach | Customer acquisition |
This does not mean that likes, views, or reach are not useful
They can be useful to quantify the level of awareness and engagement
The key is to relate them to your business goals.
How Data Improves Marketing Decisions
1. Know Your Audience
Analyzing data can help understand what information people are searching for, what content is popular and how exactly they are interacting with a company.
2. Improve the Content
The information collected by analyzing data can help to create more content about specific topics.
3. Optimize the Campaigns
Using data analysis, it will be possible to see which audiences and creatives are more successful, as well as what campaigns most contribute to the company’s growth.
4. Improve the Customers’ Experience
The collected and evaluated data can highlight the points of the website or product that need improvement.
5. Better Use of Resources
Data analysis can help the company to understand where it should focus more of its attention, time and money.
Common Data-Driven Marketing Mistakes
Having analytics does not necessarily mean that the right data-driven decisions will be made.
The common mistakes that companies tend to make include
analyzing the wrong metrics,
getting lost in the numbers,
• prioritizing traffic,
• seeking optimization at the expense of meaningful action,
• ignoring customers’ behaviors,
• overlooking the goals that analytics should help them achieve.
The best way to avoid these mistakes is to define the business goal first and then focus on the data that can help measure the progress toward it.
A Simple Data-Driven Marketing Framework
Use this five-step framework:
SET A GOAL
What do you want to accomplish?
CHOOSE THE RIGHT METRICS
What do you need to measure in order to determine if you are accomplishing what you set out to accomplish?
COLLECT DATA
Gather data from the relevant marketing channels.
FIND INSIGHTS
Look for patterns, problems and opportunities.
TAKE ACTION
Make changes, test and optimize. This turns analytics into a practical marketing system.
The Role of AI in Marketing Data
AI is helping marketers become more efficient by analyzing big amounts of data and spotting patterns.
It can be used for:
finding trends
studying consumer behavior
spotting content opportunities
segmenting customers
helping campaigns
getting performance insights
But it is necessary to keep in mind that AI should be used to support marketing strategies, not replace them.
The decision still depends on the quality of the data, the goals, and the human factor.
Frequently Asked Questions
What is the concept of data-driven digital marketing?
Data driven digital marketing is the use of marketing data to understand the performance, behaviors and results of digital marketing activity and it’s impact on customers.
What is the value of using data in digital marketing?
Data is extremely valuable when it comes to marketing initiatives to better understand what works, what doesn’t and how to allocate budgets for better business outcomes.
What are the most essential metrics businesses should track for digital marketing?
The main metrics would be web traffic, leads, conversions, engagement, CTR, CPC, CPA, ROAS, etc, depending on their business needs.
Can a business be too focused on likes and views instead of more important marketing metrics?
While likes and views are nice, it’s important to track the metrics that matter most for the business and one’s unique goals and have a balanced view of things.
How can data help improve a marketing strategy?
Data provides critical marketing intelligence to pivot, optimize and improve the marketing strategy, content, offerings, etc based on the insights.
Can small businesses benefit from a data driven approach to marketing?
Absolutely, in fact this is a great way for small businesses to get started with analyzing their website, social media, SEO, ads and other marketing related data to see what drives results.
How can artificial intelligence (Al) help marketing data analysis?
AI can help analyze large sets of data, detect patterns and trends, as well as help recommend optimizations to marketing campaigns.
How can Flamora help a business with their data-driven digital marketing?
Flamora can help businesses analyze and optimize their digital marketing strategy using marketing data to uncover insights and opportunities for growth.
Conclusion
Digital marketing does not have to be based on guesswork
By connecting business objectives and outcomes with appropriate data, companies can gain insight into what is working, identify areas for improvement and make better decisions.
The goal is not to generate more numbers