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With over 900 million users worldwide, LinkedIn is the world’s largest professional networking platform

Posted: Sat Jan 25, 2025 3:38 am
by Fgjklf
With over 900 million users worldwide, LinkedIn is the world’s largest professional networking platform. It has a vast audience base, especially for B2B businesses, and as such is the #1 platform for B2B marketers today. Approximately 87% of these marketers use the social platform for lead generation, while 97% use it for content marketing.

Naturally, these numbers prove that LinkedIn advertisements have the potential to reach the customers that matter and offer businesses a unique opportunity to engage with their audiences online.

Yet, the effectiveness of a LinkedIn ad wholly jamaica mobile numbers list depends on how well you understand your target audiences. Do you know what age range and gender your target audience belongs to? What about their professional profiles – job status, seniority levels, company size, performance, and revenue? Knowing the answers to these questions is critical for effective audience targeting.

Buyer personas are archetypes of your target customers that can find these answers and optimize your LinkedIn advertising strategies. In this article, we will look at how these customer profiles can help identify your LinkedIn target audience and enable businesses to optimize their LinkedIn advertising campaigns.

Buyer Persona Definition: What Is It?
Buyer personas or customer personas are semi-fictional representations of your ideal customers based on actual customer data representing the demographic, psychographic, and behavioral attributes of your target audience. Your ideal customers are prospects who would be the perfect fit for your business – your product or service matches their needs and effectively solves their pains and challenges.

Currently, personas are extensively being used in the fields of marketing, sales, and product development to understand consumer needs, jobs to be done (JTBD), buying barriers, and shopping preferences.

Core Components of a Buyer Persona
One can create different types of buyer personas based on their goals and objectives. For example, a person creating personas for M&M’s might focus more on user tastes and shopping behavior, while someone developing a persona for Salesforce would concentrate on the decision-making process and the personal and professional goals of their target market.

Nevertheless, each customer persona displays some common characteristics, such as:

Demographics: Age, gender, language, education, family status, and location.
Firmographics: Job title, seniority, industry, company size, location, performance, revenue, ownership, and role in the decision-making process.
Psychographics: Goals, challenges, lifestyle, values, beliefs, interests, hobbies, and opinions.
Behavior: Purchasing habits, motivations, occasion, product usage, communication preferences, and marketing channels.
Customer journey: Where they are in the buyer’s journey – awareness, consideration, conversion, and loyalty.
When combined, all of these persona elements give you a complete picture of your buyers – from awareness to post-purchase experiences – and can potentially influence the direction of your marketing and advertising campaigns.

Building buyer personas with customer data
There are two ways to create buyer personas for marketing: manually and automatically. The former method involves collecting customer information from a variety of sources, analyzing it, and then segmenting it into different buyer personas manually. The latter, on the other hand, uses online persona tools and templates to create personas automatically.

You can use both qualitative and quantitative customer data to create buyer personas.

Qualitative data includes surveys, interviews, user feedback, reviews, ratings, focus groups, and field studies, while quantitative data encompasses website analytics, industry reports, social media insights, and customer relationship management (CRM) data. Once you’ve collected the data, simply segment your buyers based on the common characteristics and traits described above.

For reference, here’s an example of a buyer persona we’ve created manually.

buyer persona example
We have Chris, a 45-year-old Operations Executive in Seattle, WA, who works in IT for a mid-sized company. His main goals are reducing churn rates, increasing customer retention, and automating the customer support workflow. Jack is frustrated with manual call logging and inefficient ticket processes and is looking for affordable and convenient customer service automation platforms. He generally engages with marketing through traditional ads, social media, and referrals.

Given his goals and frustrations, a company offering support automation solutions could target Jack via LinkedIn campaigns, highlighting the benefits of automation and how it can reduce customer churn and streamline department operations.

AI persona generator: Persona by Delve AI
As mentioned, you can create buyer personas using manual methods or an AI persona generator — like Delve AI! Our AI-powered persona platform takes in your first-party (web analytics, search console) and second-party (competitor intelligence, social media) and then enriches it with 40+ public sources, including VoC data (surveys, reviews, blogs, forums, news channels), to create data-driven personas for your business, competitors, and social media audiences.

Our AI-generated personas address the problems associated with traditional or manual personas, like time, high costs, and limited usability. They are created in minutes, are highly cost-effective, and provide rich, actionable insights for various marketing activities, such as LinkedIn audience targeting.

You can generate multiple segments (two to eight) for your B2B and B2B businesses. Each persona segment includes a buyer’s profile photo, name, age, gender, location, education, job profile, bio, and a quote summarizing their key objective. Furthermore, the PROFILE section gives insights into their goals, motivations, jobs to be done, pain points, values, interests, buying barriers, and hobbies.