Big data has become a critical component of modern marketing strategies. To improve their marketing tactics, more organizations are turning to data analytics and artificial intelligence (AI). This is especially true for businesses that use digital marketing techniques like social media.
LinkedIn is one of the sites that makes big data easier to employ for online marketing. You may optimize your marketing efforts by using their comprehensive analytics dashboard. This is covered in a blog article by Sprout Social.
However, there are other ways to use big data to get the most of your LinkedIn marketing strategy. One option is to use data analytics to improve your LinkedIn Ad targeting.
LinkedIn Advertising Can Benefit From Data Analytics
It is well known that LinkedIn is built on big data. This creates a lot of advantages for its advertisers.
LinkedIn is essential for any business focusing on B2B outreach or trying to reach decision-makers in other organizations. With a formidable strategy, you can target your ideal audience, convert them, and increase sales. Fortunately, including LinkedIn’s audience targeting options in your marketing strategy helps you optimize your budget and reach potential clients and audiences with higher chances of converting.
Consequently, this article discusses six targeting options on LinkedIn and how you can use them to drive better results in your campaign strategy. You will get a lot more value out of them by using big data to improve your targeting strategies.
What Are the Audience Targeting Options on LinkedIn?
Most experienced digital marketers are familiar with different targeting options across several social networks. They also realize that data analytics helps you improve your digital marketing strategies. Although most of these social platforms allow you to target people based on demographics or interests, LinkedIn retargeting options do more.
This section looks at the six LinkedIn targeting options available, including the following. If you pay close attention to the data in your reporting panel, then you can optimize your ad targeting for optimal conversions.
#1 – Location
LinkedIn makes the location targeting option mandatory for all ads. When using this option, your targeting can be specific or broad. For example, targeting people by city or metropolitan area is specific, while targeting people by state or country is broad.
#2 – Company
One of the biggest benefits of the data infrastructure provided by LinkedIn’s marketing platform is that it allows you to target different companies. LinkedIn has extensive data on the companies in its network.
#3 – Demographics
LinkedIn demographics targeting option has two categories – member gender and member age. Member gender depends on what a user puts on their profile, while member age estimates the user’s profile information.
#4 – Education
The education targeting option targets users based on their field of study, degrees, and member schools. The field of study category focuses on a member’s degree’s major area of study. This option also targets people based on their selected degrees.
#5 – Job Experience
Like the company targeting option, job experience also has several options for targeting users. Through job experience, you can target users based on their job functions. Please note that the job function is a standardized grouping of the job title a user enters.
#6 – Interests and Traits
The interests and traits targeting option reach users based on shared group interests and individual member interests and traits. It is important to note that users’ interests and traits depend on their profile information, online engagements, and actions.
Data analytics is a highly rewarding career choice and there are many different pathways into the field. We hope this article has helped shed some light on the many learning options available to you. If you’d like to discuss your future in data with a real person, schedule a call with Syntax Technologies.
Our Data Analytics course with Business Intelligence training provides students with the remarkable opportunity to evolve as experts in the field and consequently, enter one of the most sought-after domains of the tech industry.
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