How to Create the Perfect Persona?
Personas, also known as buyer personas, marketing personas, or customer personas, are one of the most effective tools for achieving customer-centricity.
Today customers expect offers that are tailor-made for their demands and needs, marketing personas give you the tools to do so.
Why? Because they will demonstrate their personal requirements and emotions towards your product. This will allow you to adjust the messaging of visuals, content, ad copies, or landing pages precisely to meet their individual needs and expectations.
To create the perfect persona, you first need to define their goal. In case you are looking to gain customer insights to sell more of your product, you aim to create a classic buyer persona! In case you want to understand your overall customer base for PR reasons or business strategy purposes, you probably want brand personas. Feel free to read our article for a more detailed explanation of this difference.
The ROI of personas is impressive, but only when the personas are done right. The fact alone that 81% of consumers are willing to pay a premium for a personalized experience should urge organizations to enhance their customer insights and experience.
Without going into too much detail here about the power of personas, maybe one figure - Persona-based emails lead to 18x more revenue than common broadcast emails.
First, we need to differentiate between which customer insights are actually possible and realistic to generate, and those that would be fantastic to have but are not possible to generate. We will solely focus on insights that we can gather through data analysis.
The foundation of the perfect buyer persona creation is 100% data-driven and free from any guesswork. Personas that are created based on beliefs, experiences, and assumptions are maybe nice to look at, but very susceptible to misinterpretation. To give you some context, we are using a persona from Sweden as an example whose travel plans were affected by COVID-19. She is trying to find alternative travel destinations within Sweden.
Data Collection
Persona creation lives on the data you have on your existing customers. If you consider skipping data collection or forgoing it altogether, you may end up with something that resembles a persona, but it will likely not benefit your marketing and sales efforts.
It is important to get a balanced data collection combining qualitative and quantitative data analyses through various internal and external sources.
Demographic data
Most of the time, demographic data is the easiest to come by. You should collect data about
- Age
- Location
- Language
- Income
- Interests
- Stage of life
Possible sources for this data can be Facebook Audience Insights, Google Analytics, and, of course, your internal data stored in CRM systems.
The more information you can collect from your clients, the easier it will be to create personas. That not only applies to the demographic section but also helps you to get a better understanding of the other data points that make up a persona in the end.
If you are creating personas for B2B offerings, you might want to include the stage of the company, size, revenue, seniority, job title, departments of employees, etc.
While demographic data can be easily extracted from one or more databases, qualitative data presents a whole new challenge and may be difficult to obtain.
Needs of a persona
What we call "Needs" at Mnemonic AI can be divided into two things that make your customer tick:
- Pain Points
- Goals to achieve
While pain points have a slightly negative connotation, it is the problems customers want to be solved, ideally with your offering. Goals are the positive opposite; what do your customers want to achieve?
Both pain points and goals might be directly related to your products and services, a match made in heaven. You simply need to inform your customers that you are the right organization with the right offering.
But it doesn't have to be, the Needs section is used to get to know your customer and understand what drives them.
Data for this kind of information can be found through social listening, surveys, reviews, etc.
The hard part is in analyzing the gathered data. You want to establish a way that all the data gets reviewed and analyzed in the same way, trying to avoid bias through different reviewers, different scales used.
To emphasize the difference that triggers a persona's needs, consider the following scenario. Summing up, our sample persona is looking for a memorable holiday destination within Sweden beyond the regular offers. However, she has two kids and therefore the need has to be fulfilled in a "kid-friendly" way. Compare her situation with that of a well-situated couple in their mid-30s with a massive follower base on Instagram. They usually travel the World and post pictures from magnificent places or extraordinary activities like Cage Diving at the Great Barrier Reef. Both parties have the same desire and need for an extravagant holiday destination, but with two completely different drivers.
Go-to
If you have dug deep into your data, analyzed demographics, and tons of quantitative data, you should have a clear understanding of what drives your customers.
Now, to the first step of turning this information into an actionable asset for you, we call it Go-To.
This section will help you to understand how to approach the persona. It provides a clear guideline of what is important for the persona and how her needs should be addressed.
It forces you to start thinking not about hard attributes of your offerings, but about how it is helpful to the customer in their specific situation.
Both parties need information about different attractions and destinations; however, price and the fact that she has two kids play a crucial role in the decision-making process, which does not apply to the couple. For instance, Wildwater rafting in Sweden might be the perfect fit for the couple, but not for a family with an 8-year-old son. Another example is 600 euros per night at a high-end Tree House Hotel. It might be the perfect fit to create content for the Instagram Community, but not for Silvia because it is way above their accommodation budget.
Without going into too much detail, the messaging for the same need for the two completely different personas could be
For Silvia: Show your family a side of Sweden they have never seen before! Find Kids and budget-friendly destinations here.
For the couple: Stuck at home? Looking for the Extraordinary within your county? Check out our boutique luxury resort in Sweden's Wilderness.
Interests
Keep in mind, even though personas are not real individuals, they represent them. Not a single human exists in a vacuum. Whatever you do in a business context reflects you as a person, which includes your private life and the experiences you have had.
Hence, we at Mnemonic AI believe that it is important not to stop here, but dig deeper and gather information about your customers that puts their decisions into context. We call this section Interests.
This section will help you to adjust the message as well as the targeting for the persona. Sources for gathering the information could be Social Media, review pages, or surveys. If there is a way to bind your product/service to one of the interests, it will allow you to address your prospect emotionally. Additionally, the interests will help you to narrow down your target audience on various platforms. Using the demographics combined with the interests will allow you to minimize the scatter loss and test the different personas accordingly.
An important note- do not get tricked by certain insights such as “brands they follow”. Of course, this would be nice to know. Still, often customers follow company profiles not because they are really interested in them, but because they had a contest at one point where the customers participated.
Emotions
We wrote a whole article about the benefits of emotions in marketing. The main argument in favor of the Interest section is also true for emotions: You want to have as much context as possible for your personas.
Representativeness
Ok, we are data guys, we love numbers. But you also want to check your numbers. Mnemonic outputs a Representativeness scale.
Understanding of how representative the persona is to the entire customer base will help you allocate your resources better. The bigger the percentage is, the more emphasis you should put on that particular persona.
Picture Perfect
So you want to talk to your personas with a marketing voice that is tailored to their expectations, you know their needs, and what to emphasize in your message?
For us humans, faces are important, they get someone out of anonymity, give us someone to talk to, or even to visualize while composing an email.
We often see persona examples that use the same stock photo over and over, or even go with comic book characters, or just an outline.
The goal of a persona is obviously to describe customers in the most detailed, realistic way so everyone in the company can sa,y "I know that guy!". With the help of personas, clients become tangible rather than just a transaction number. When you put an Avatar or just an outline of a person as the profile image, this imagination already becomes harder. Compare the two below - who is easier to describe? I think the answer is clear, right?
Imagine the persona profiles are pinned on the wall, and the marketing team walks into the office every morning, and their job is to convince these customers of the company's products or services. They need to see and feel the client to do so correctly. Therefore, it is important to have a realistic picture that represents the persona accordingly. In an ideal situation, you should collect all information about the persona components, and once completed, you should look for a picture that you think fits the description.
To choose a picture, you have different options. Look at stock images of people that you believe could represent your customer. Try to be as neutral as possible while doing that. You might fall into the trap of personal preferences, etc., which is still the biggest problem with manually created personas. Try to avoid that.
Again, at Mnemonic, we go a slightly different path. We use generative adversarial networks (GAN) to create our image pool and let the AI select the most appropriate one itself, avoiding human influence. You can find a short write-up about the image generation process on our blog post about GAN.
The Bio
Imagine you are sitting in a room with 10 strangers, and they are there to help you with a certain problem. Your task is now to basically describe yourself and the reason you are there in a few sentences for them to get a first impression and idea of your problem. The result is the Persona Story.
Obviously, you first need to have a clear understanding of the persona with all the different characteristics to write the story. It is basically a summary of the detailed analysis and should be the last step in the persona creation process.
Once the persona profile is completed, it should be the first thing marketers read to give them a brief impression of the personality and characteristics, as well as the problem that needs to be solved.
Do not make the mistake of trying to lead the persona creation process with a story. You may risk including personal preferences and assumptions, which can compromise your objectivity and hinder the creation of accurate personas.
The final persona
So you have spent hours number crunching, sifted through thousands of emails, surveys, and interviews. Collected social data, cursed at Google Analytics, and selected the most suitable pictures from a stock photo database. Time for the roll-up. Put all your findings together in a document that can be distributed to your marketing and sales teams, it is time that the fun part starts and you can begin reaping the benefits of personas for your work.
It is crucial that everyone who works in a marketing team has the same vision of your personas, talks with the same voice, and addresses the customer in a congruent way.
For example, with Mnemonic AI, you can choose to get the personas as PDFs you can print and decorate your office with, or get them in JSON to integrate into your own tools. Irrespective of how you do it, spreading the word about your personas inside your organization is most important.
Start Your Persona Creation!
Suppose you want to start using personas yourself, but do not have the time or resources to start that endeavor. In that case, Mnemonic automates the complete persona creation process, from data gathering, analyzing, and writing up the whole persona (of course, including the pictures) with deep learning (which is key to artificial intelligence most of the time).
