What data should you use to support your pitch to different audiences?

Knowing your audience begins with empathy. All the data in the world won’t matter if you haven’t stepped inside of your audience’s shoes. Without empathy, you can only ever really pitch your audience what you think they want to hear. Data is important, but a successful pitch depends on your ability to understand what really matters to your audience. That means understanding them as humans. Unless you understand the person, you’ll never reach the persona.

To use data to support your pitch to different audiences, you have to first know your audience. This is really important in ensuring that your pitch suits the needs of the audience. You have to know what they need and want. You also need to know if your objectives and goals are aligned to theirs. If you are pitching to a potential client, you need to tell them about the advantages of your products or services. This has to backed up with data. If you are pitching to a potential investor, you have to let them know about how much profit they can make if they invest in you. This has to also be backed up by real data.

Before knowing your audience, you first need to know yourself. And to know how your audience views you. When presenting data, ethos is more important than logos.

Knowing who you’re writing for is just as important as knowing what you’re writing about. You have to make sure you understand your audience—who they are, what they want to know, what their pain points are, and what resonates with them. Understanding these things about your audience will help you write in a way that they will not only understand, but relate to and appreciate. Make sure to address the things they are likely concerned about, hit on the questions they’re asking themselves, and keep it interesting enough that they keep reading until the end. Make it comprehensive, relatable, and helpful, and you’ll nail it every time!

To support your pitch to different audiences, use relevant and compelling data such as: - Market research statistics - Customer demographics and psychographics - Case studies or success stories - Industry benchmarks and trends - Financial projections or ROI analysis - Testimonials or customer feedback - Competitive analysis findings - Social proof metrics (e.g., followers, engagement rates) - Data on emerging technologies or innovations - Surveys or polls specific to your target audience

Once you have identified your audience, you have to then present your data. This has to be done in a clear manner in order for the audience to be able to understand your pitch. Your data should be presented in charts, graphs and tables. This is so that the audience can have a clear idea of the meaning of your data. Make sure that your data is acquired from reliable sources. For example, if the data is about the performance of a car, make sure that the tests were done by yourself. Or, at least you were the one who oversaw it.

One of the worst things you can do in a pitch is overwhelm a prospect with raw data... the focus from your pitch will fade quickly. Pick a few very compelling numbers that showcase your platform's performance, scale, or track record of excellence. Limit these to 1 - 3 points per slide so you can talk about them on an individual basis. Always support the data with real customer stories as well so you can give a full picture of the impact these numbers have.

Make your numbers tell a story. They should evidence emerging qualities or ground your business in a shareable reality that points to something compelling about the future. Clarity through simplicity. Only key metrics, nothing more.

When presenting data, make sure the audience knows why it is relevant. Use something appropriate to the situation. Show them how your idea can benefit them with your data. You can do this a number of different ways--just as long as they understand the context, and how the data ties in to the features and benefits of the pitch.

And adapt it to the audience, to ensure it is clearly understood. Whatever data and language fit best, that’s what you use. Explain the data in a way that helps the audience understand the material.

The data that you present must be explained with stories. This is to keep the audience interested in your pitch. Get as much testimonies as possible about the effectiveness of your products or services. People tend to believe it more if it's said by people who are not from your company. Your data should not be just told on it's own. It should be told alongside a story or explanation of how these datas are relevant to your products and how it can be of help to others.

I would recommend short stories! A paragraph or less. Product successes can be pulled from a live list of comments on a social media profile. How the product came to be stories should be about the product, not your personal life story.

Whenever you’re pitching using data, keep these things in mind - 1. Use data that is easy to present and easy to remember. 2. Pick your hero. Don’t overcomplicate things by focusing on too many statistics at once. 3. Pick data that is relevant to your audience. Meaning, they may not know the exact figure but they should still know what it is about.

?? Use financial, technical, market, and customer data to pique the interest of your audience. ?? Create an engaging story, use data visualisation, keep relevance in mind, be truthful, and develop data presenting skills. ?? Steer clear of jargon, give specific examples, project confidence, and ?? Be ready for queries and pushback.

Make solid decisions about the platform and media mechanisms you are using to connect to your audience. If you get more customers from ads, but market to investors directly then make your landing page a clean portfolio and have the ads link to promo code links in your merchant portal.