Power Points: 8 Tips for Creating Presentations That Sell

If the word “presentation” conjures thoughts of droning speeches and dreadful slideshows, you’re doing it wrong – and worse yet, wasting valuable opportunities to engage, convince and convert new customers. By following these eight tips, you can deliver more powerful, more memorable presentations that give your audience what they want in order to ultimately achieve the outcome you want.

1. Good tools do not good presentations make.

Today’s sophisticated presentation tools – from PowerPoint to Keynote to Google Docs – offer lots of bells and whistles. But don’t get so caught up in playing with all of the available options that you lose sight of your purpose. Whatever software or format you choose, slides are not a dumping ground for data or talking points. You don’t want your visual presentation competing with you for the attention of your audience. It’s there simply to amplify your key points, not duplicate them, so limit each slide to one single image or thought that reinforces what you’re saying. If you’re displaying a chart, graph or table, don’t leave it up to your audience to interpret the meaning of the numbers. Instead do the work of analyzing this data for them by making the title of your slide the main idea that you want them to take away (e.g., “Southeastern Region Exceeds Sales Goals” rather than “2012 Sales by Region”).

2. Don’t save the best for last.

In today’s digital age, attention spans are short. We’ve all been programmed to skim, scan, parse and move on. That’s why you can’t afford a long, drawn-out wind-up to ease into your presentation. Within the first three slides, you must convey to your audience what’s in it for them so they’re motivated to stay engaged with you. If you don’t come out swinging for the fences, they’ll quickly check out as their minds wander to something that’s more urgent in their own world, like their own list of impending to-dos and deadlines.

3. Know and serve your audience.

Let’s be clear: your presentation is not about you. It’s about your audience. You’re there to serve their needs, answer their questions and address their concerns. Because no two audiences are exactly alike, there truly is no such thing as a one-size-fits-all presentation. While the core of your presentation may remain relatively unchanged from one speaking engagement to the next, if you’re not shaping, tailoring and refining your message and delivery for the particular needs and interests of the audience in front of you, you’re doing a disservice to both them and you. That being said, the benefit of having a strong foundation in place and well-rehearsed is that you’ll be prepared to respond quickly to any opportunity that arises – no matter how tight the timeframe. For example, let’s say a conference planner calls you with a last-minute opening in their programming line-up. If you have your key points memorized and visual supports in place, an hour or so is all you’ll need to tweak your presentation, and you’ll be ready to take advantage of the chance to engage with a new audience without wrecking your nerves in the process.

4. Build trust first, last and always.

You can’t expect to convince anyone to do anything if they don’t believe in you. As a result, building trust with your audience is your first and most important objective. The task of establishing your credibility has much more to do with the intangibles of your presentation that what you say or what you put on screen.You must instill confidence with your visual presence, your body language and your demeanor. Be polished and professional from head to toe. Talk slowly and clearly, and don’t forget to breathe. Avoid mental placeholders like “um,” “uh” and “you know,” but don’t be afraid to pause when needed to transition between thoughts. No matter how nervous you might be on the inside, maintain good posture and steady eye contact with your audience from beginning to end. Always keep your composure even if things don’t go exactly as planned. Show that you respect attendees’ time and intelligence by providing real value and useful takeaway messages. Never, ever use jargon as a crutch to create the illusion of expertise. It’s much more important to be relatable to and easily understood by your audience.

5. Practice, practice, practice.

The art of public speaking is not one that comes naturally for most of us. That’s why preparedness is the key to being able to deliver your presentation with the polish and confidence you need to establish that all-important foundation of trust with your audience. Rehearse your presentation as much as possible, doing so in front of colleagues or other members of your team so they can offer feedback. Walk through every step from start to finish, just as you would on the day of, including setting up and using your digital presentation tools. Videotape your practice session. When you play it back, watch for any red flags that will undermine your credibility like verbal stumbling blocks, lack of eye contact, stiff body language, nervous fidgeting or lagging energy. Don’t forget to make contingency plans in case the situation throws you for a loop. For example, what if you arrive and there’s no way to project your presentation or your equipment malfunctions? Make sure you’re equally comfortable delivering your presentation with and without your visual aides.

6. Engage and energize.

Every presentation has the same core purpose: to motivate the audience to take a desired action. Just as with building trust, the secret of motivating an audience lies in the intangibles. Your PowerPoint presentation – no matter how beautiful and well-crafted it may be – is not going to inspire someone to take action. That’s your job. You must be energetic in your delivery. Passion is contagious, so make sure you let yours shine. If your audience senses that you are genuinely enthusiastic about your subject matter, they’ll be more invested in hearing what you have to say. This is another reason that practicing your presentation is so critical. You need to be able to feed off of and react to your audience. If your focus is wrapped up in the mechanics of your delivery, you won’t have the mental agility to be able to think on your feet. If your audience appears to be bored or confused, you must be able to shift gears to recapture their attention or deepen their understanding. Shake things up by giving them opportunities to interact with you and each other during your presentation. And don’t be afraid to take questions. If someone wants to know more, feed their curiosity!

7. Make it easy to take action.

You wouldn’t design an ad or a landing page or a direct mail campaign without a call to action. The same goes for your presentation. If the goal of your presentation is to motivate your audience to take action, make it clear what that action should be. Think carefully, though, about how you frame your request. The next step should be commensurate with the level of engagement and trust you’ve established with them. Will your audience be ready to sign on the dotted line and fork over their money to you at the end of your presentation? Probably not. So instead, focus your call to action on furthering your relationship with them. Encourage them to sign up for your e-newsletter or follow you on Twitter. Or invite them to schedule a complimentary one-on-one consultation session with you. As long as you can keep the conversation going, you’ll keep the door to future sales opportunities wide open.

8. Maximize your mileage.

No lie: creating a great presentation is a lot of work. The good news is that once you’ve honed and refined your presentation, there are lots of opportunities to get more mileage from it. First, it’s always a good idea to make your presentation available online. Sites like SlideShare, Prezi and SlideRocket allow you to create and host interactive presentations in the cloud and then embed them on your website or share via social media. You will need to create a version of your presentation specifically for this purpose, as your slides will need to be more content-rich in order to be able to stand on their own and convey your key points without the benefit of your verbal delivery. Second, if you’ve mastered your in-person presentation delivery, you can just as easily lead a webinar. All you need are a few additional technical elements such as a webcam and an account with a webinar hosting provider like GoToMeeting or WebEx, and you can expanded your reach from a room full of people to a limitless online auditorium. Here's one key difference to keep in mind, though. In a live presentation, you want to keep your audience focused on you and your words, so your slide content should be minimal. However, with webinars, your presence is limited to a disembodied voice coming through phone or computer speakers. To provide the best audience experience, you must design your slides and content in a way that is not only visually interesting but also helps attendees stay in sync with what you’re saying. Finally, keep your sales pitch in your pocket. Keep a core version of your presentation at the ready on your tablet and smartphone. That way, if an unexpected networking opportunity arises, you’ll be at the ready with good visual aides to complement your conversation. Your new acquaintance is more likely to remember the details having heard and seen your message, and you may improve your chances of gaining a new customer in the process.

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Intelligent Design: Transform Your Website into a Sales Engine with Machine Learning

Machine learning: The phrase evokes images of computers playing chess or IBM’s Watson destroying two legendary Jeopardy! champions in a three-day tournament. The truth is, though, machine learning is no longer a novelty; it’s now an integral part of our daily lives. Every time you receive a product recommendation from Amazon, your email server weeds out spam before it reaches your inbox or you enjoy a playlist on Pandora, you’re seeing machine learning in action. In a nutshell, machine learning is the science of training computers to recognize data patterns and make adjustments automatically when those patterns change. While on the surface this may not sound very exciting, nothing could be further from the truth. In fact, machine learning is the key to transforming your website into a lean, mean selling machine.

Understanding machine learning in 100 words or less

Machine learning uses algorithms to build models from data; as more data is collected, the algorithms are “trained” to adapt to changes. There are two ways in which machine learning can be implemented: supervised and unsupervised. Supervised learning algorithms are used to create models that establish relationships between types of data — the relationship between purchase data and user clickstream data, for example. Unsupervised learning uses algorithms to gain insights into customer behaviors and preferences by looking for patterns within the data. Both of these methodologies are designed to make marketing and e-commerce more exact, more personal and more profitable.

Putting machine learning to work

Netflix, Pandora and Amazon are all familiar examples of machine learning in action. All three use recommender systems powered by complex algorithms. These systems collect data about your browsing activities, past selections and any ratings or reviews you may have provided. Then they segment you into clusters with other customers who have demonstrated similar interests or behaviors and use this data to suggest items that might appeal to you based on the browsing and purchasing habits of these other customers. You see this on Netflix as the category titled “Because you watched...” and on Amazon as “Customers who viewed this also viewed...” To gain a deeper understanding of how these algorithms work, let’s take a closer look at Amazon. To Amazon, you are a very long row of numbers in a massive table of data. Your row represents everything you’ve looked at, clicked on, purchased (or, equally as important, not purchased) or reviewed on the site. The other rows in this gargantuan table encompass the same thing for the millions of other customers who shop on Amazon. With every click, visit and purchase, more data is added to your row, which allows Amazon to constantly mold and shape the products it recommends to you and the special offers you receive based on an ever-evolving stream of information about you that is being collected and stored. Another innovative example is True Fit, a retail software start-up that is on a mission to apply data analytics to increase customer confidence in online clothing purchases while decreasing the number of returns for e-railers. Well-known fashion retailers, including Nordstrom, Macy’s and Guess, have implemented True Fit’s algorithms on their e-commerce sites. When customers shop on these sites, they’re asked to create a profile that includes their height, weight and perhaps most importantly, the size and brand of their favorite piece of clothing. Using that data, True Fit is able to recommend the correct size for a specific brand and article of clothing. Even more importantly, as customers continue to use the True Fit system, it learns more about their personal style and preferences and steers them toward purchases they’ll be more likely to keep and enjoy rather than return.

How machine learning drives smarter marketing

You don’t need the resources of major e-commerce giants like Amazon or Netflix to take advantage of machine learning to to improve your e-commerce site and your online marketing efforts. By enhancing your existing site with systems that allow you to create a virtual marketing intelligence brain, you can create a more personalized – and therefore higher quality – shopping experience for your customers. By establishing this type of marketing intelligence ecosystem, you can mine the data provided by customers every time they visit your site to answer vital questions that will help you fine-tune your site and your online marketing strategy – questions like these:

• How likely is a given website visitor to convert?
• What behaviors characterize customers who are likely to buy?
• What behaviors characterize customers who are likely not to buy?
• How can new visitors be identified as high-potential long-term customers?
• Which type of web traffic has the most value?
• Which products or services appeal most to a given segment of customers?
• Given the contents of a particular customer’s shopping cart, which additional products are high-potential recommendations?
• How can website visits be optimized to provide the best possible experience for each individual customer?

Making it personal

The final question in the list above is one that deserves special notice because of the staggering potential for using machine learning to create a more personalized shopping experience – one of the key drivers for increasing online sales. Not only can the data collected via such marketing intelligence ecosystems be used to drive recommender systems, it can also be used to create personalized advertising based on market segments — or even individual profiles — that can be distributed across a variety of desktop, mobile and social platforms. This type of advertising can be tailored to any number of personal preferences and demographic information, including age, marital status, location, lifestyle choices, typical purchases, brand preferences and so on. Ads can be focused to such a granular level that they reflect specific colors a given customer prefers, and their individual purchase drivers, such as status or cost-effectiveness. Another exciting aspect of machine learning-based personalization is the development of individual customer profiles. You can even combine online and offline customer data to create a more complete picture of a given user. Types of data included in this profile might include online and in-store purchases, membership and activity in rewards programs, product ratings and clothing sizes. Just imagine how much more powerful your marketing efforts could be if you were armed with this level of information. One of the most important aspects of a successful marketing intelligence ecosystem is how data mined from customer activities is combined with sound business rules in order to make smart recommendations that are well received by customers and that do not compromise their trust in your brand. For example, most people who walk into a supermarket like bananas and will often buy some. So shouldn’t the recommender simply recommend bananas to every customer? No – because it wouldn’t help the customer, and it wouldn’t increase banana sales. So a smart supermarket recommender would always include a rule to exclude recommending bananas. At the other end of the spectrum, the recommender shouldn’t push high-margin items just because it’s beneficial to the seller’s bottom line. It’s like going to a restaurant where the server steers you toward a particular high-dollar entree. Is it really his favorite? Or did the chef urge the staff to push the dish because it comes with a side order of premium mark-up? To build trust, the best recommender systems strive for some degree of transparency by giving customers clues as to why a particular item was recommended and letting them adjust their profile if they don’t like the recommendations they’re receiving.

Science fact, not fiction

Machine learning can give your business a serious competitive edge by opening the door new opportunities in the marketplace. It can help you personalize and improve your customer experience dramatically and thereby drive sales and revenues. Creatives and developers alike are rapidly pioneering new and innovative ways for marketers to use machine learning — and the future of marketing built on these ideas has seemingly endless possibilities.

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