Digital Marketing

Top 7 Ways to Use Data Blending in Marketing

When you’re creating marketing reports, you may need to blend your data with other metrics to give a fuller picture of what is going on.

Data analysis doesn’t always need to involve all of your metrics. You can use data blending tools such as to gather different metrics from multiple sources and start analyzing your data.

Today, I am going to talk about data blending. First, what is it? In order to create quality content, a process called ‘data blending’ is required. Data blending incorporates structured data and machine learning to create relevant content with the same quality as human writers.

What Is Meant By Data Blending?

Data blending is the process in which you combine data from multiple sources to create a new statistic or figure. Put simply, you take the data from a bunch of different places and then combine them into one statistic.

Imagine having to monitor all of your data from across different platforms, just imagine how much time that would take!

The type of metrics to blend and the blending process can be difficult when trying to use the same metrics for both sides. Followers and engagement ratings are easy to use, but metrics like likes or shares will be more difficult.

Business people, get tunnel vision when seeing their Facebook Ads campaign – a big disaster. Their money is wasted and there’s no return on the investment as they thought, everything seems to be going down the pan.

The bigger picture shows that everything is going to be okay. Although not all marketing efforts are successful, you are getting a lot of returns from Instagram, and Facebook Ads might never work for you, you should plan a strategy to help you stay on top of work, whether it’s delegating tasks or setting boundaries.

In order to measure the success of marketing efforts at a business, it is imperative to use data blending. You’ll need to rely on data from disparate sources to get a complete picture of what the business is doing.

How Does Data Blending Work?

Data blending allows you to view many different data sources in one go. As opposed to using various visuals from each individual source, which could provide conflicting information.

You can choose to combine multiple metrics depending on your needs. For example, you can use (impressions + impressions, clicks + clicks, etc) to measure the effectiveness of a particular ad campaign.

The data blending feature allows for an overview of the performance of multiple marketing channels, campaigns and more. This can be very useful when you need a holistic overview.

Combined Campaign Performance

With automated analysis, you can easily monitor your campaign data across multiple social networks. PPC managers can use this to keep close tabs on campaigns.

When you’re running a marketing campaign on multiple social networks, it can be very handy to combine your data figures so you can easily track your performance.

1. How Many Times Ads Were Shown On All Channels

Review your advertising metrics, including how many impressions your ads received, and how many people were exposed to your advertising. This is easy to create with our data management tool.

2. How Much Marketing Budget Was Spent On All The Channels?

In this chart, you can see the amount of money spent on Google Ads as well as Facebook Ads and so forth. You can also include a line with a benchmark, which will indicate if your campaign went over and under the expected amount of money.

3. How Many Clicks Came Across All Channels In Your Campaign

How many clicks have you generated on Facebook ads, Google ads, and other social networks? Data blending gives you a comprehensive view of your campaign performance ratings across all the platforms you are using.

4. Showcase All Combined Combined Funnel

In order to create a successful business, your conversion rates need to be high. Combining the stats of all your sales funnels is an efficient process for seeing how you can optimize your ads and increase conversions.

You can see all of the metrics and statistics that you have, including impressions, clicks, and conversions. You can accurately judge your campaign by looking across the board at all of these numbers to see what you need to improve on and what you should do better next time.

5. The Total Number Of Your Followers

You can easily see how your follower count changes across all social media platforms by using the combined data widget. Compare it to the previous period to see whether it has increased or decreased.

6. How Many Individual Post-Creation Rates and Performance

Rather than focusing on the total amount of posts that you have, it’s more important to take note of the return on investment (ROI) you’re achieving off only a few dozen posts.

How many posts are you posting per platform? How much return on investment do you get back on that number of posts?

7. Create Engagement Funnels On All Social Platforms

It’s not just about how well you did on a single article. You should also measure the number of impressions, or posts someone saw, as well as the reach to other people that usually leads them into your sales funnel.

You can see the figures you’re working with, and then break them down to see which social media platform is the most effective.

Use the analytics dashboard to show the number of customers who engaged with your content at different stages of the sales funnel.

Conclusion

With data blending, you can quickly analyze performance with insights that are easy to understand. We will continue to add more possibilities from analytics as we go along.

Data blending is a great way to see the overall health and effectiveness of your marketing and content creation efforts on social media, and in other places throughout your business.

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