How to Use Machine Learning to Improve Your Digital Marketing

Machine learning is on the verge of transforming the marketing sector. In many ways, it’s already started. According to Gartner, 30% of companies will use machine learning in one part of their sales process by 2020.

What’s more, these companies are using machine learning to get ahead of competitors by tackling some of marketing’s toughest challenges, such as personalization, instant customer support, and big data.

In other words, machine learning isn’t just for computer scientists. Marketers should sit up and take notice. Below, I’ve covered five ways you can use machine learning to supercharge your digital marketing efforts.

What Is Machine Learning?

Before we get into the marketing side of things, let’s take a second to establish what artificial intelligence and machine learning are.

Artificial intelligence is simply any form of intelligence demonstrated by a machine instead of the natural intelligence displayed in humans and animals. When most people think of artificial intelligence, they think specifically of computers that replicate some level of human intelligence, like a chess-playing computer I mentioned in the introduction.

Machine learning is a branch of artificial intelligence that enables systems to find new and better solutions automatically by learning from mistakes and experiences. The more data and experience a machine learning algorithm has access to, the better it becomes in the future.

Machine learning systems can largely be divided into two subsets: guided and unguided. Guided machine learning systems are supplied with data sets and solutions by humans in the first instance. They are taught which patterns to look for initially and will then get better at identifying those patterns going forward.

Unguided systems are given access to unsorted and disparate data sets and are left to decipher patterns independently without guidance from humans. Unguided systems will create an algorithm and then look for ways to improve it going forward.

Using Machine Learning to Improve Your Marketing

We know that marketing teams don’t want for lack of data. Marketers struggle with making sense of all the data they have at their fingertips and then putting that data to use. This analysis is where machine learning comes in.

The primary reason to add machine learning to your marketing stack is that it can make sense of vast amounts of data much faster and much more effectively than humans.

Machine learning can use data to identify patterns and make predictions almost instantly. Marketers can then use these insights to optimize a huge portion of their workflow, from running more tests and improving their website’s UX to personalizing the customer experience and automating consumer engagement.

The long and short of it is machine learning can be used to improve just about every part of your digital marketing efforts. Below we discuss five of the most important ways.

Analyze Data Sets

However you use machine learning in your marketing efforts, the process will probably begin by analyzing data sets.

For instance, machine learning can be used to analyze and find user activity patterns on your website. Rather than sifting through data in your Google Analytics profile yourself, a machine learning algorithm could do the job in seconds, predicting future user behavior and identifying patterns that you can use to optimize your site.

Sure, humans are perfectly capable of analyzing data themselves, but you can’t do it half as fast or accurately as AI-powered solutions.

Marketers can also use machine learning to gain a better understanding of their customer base.

Take customer segmentation, for instance. Dividing up your audience into different groups can make your marketing efforts much more effective, but it’s time-consuming to do so yourself. On the other hand, a machine learning algorithm could automatically segment your customer base based on actions and behavioral patterns that you couldn’t hope to identify.

Create and Optimize Content

You don’t need me to reiterate the importance of content in your digital marketing efforts. However, you may need clarification on how machine learning can improve what you write and publish and why using machine learning in your content marketing strategy is essential.

For starters, machine learning can help your articles rank higher in search engine results. It’s one thing to be a great writer; it’s another to write in a way that pleases Google, so it rewards you in the SERPs. You need to make sure you use all relevant keywords, discuss every relevant topic, and cover all of your bases in general.

That’s pretty hard to do without smart content creation tools like Frase.io, which uses machine learning to compare your content against Google’s top results and make sure you hit all of the relevant points.

Second, you can have machine learning algorithms write content for you. Phrasee is an AI-powered copywriting tool that uses machine learning to create email subject lines and push notifications that its algorithm believes will drive the highest ROI.

You can even use AI to help you curate content for your customers. Curata offers a machine learning content curation software that helps marketers find and publish the most relevant and engaging content for their audiences.

Increase Personalization

Personalization matters for consumers. Research by Accenture shows 91% of consumers prefer brands that remember who they are and provide relevant offers and recommendations as a result. What’s more, if they don’t get a personalized experience, over half of consumers are only too happy to switch to a competitor.

Here’s the good news: machine learning lets you deliver the most personalized customer experience possible. You can employ a machine learning algorithm that tracks user behavior on a granular level, learns what products they like, and creates a personalized homepage and recommendation list as a result.

Amazon, for instance, uses AI algorithms that take into account the purchase history of users, the items in their cart, and their viewing habits to offer the product recommendations that are most likely to convert.

The same algorithm could also generate personalized offers for every customer and email them to consumers when they are most likely to purchase.

Improve Marketing Automation

Better personalization is one way machine learning can transform how your brand engages customers, but it’s not the only way. AI and machine learning can also be used to better automate your marketing efforts and significantly improve customer engagement as a result.

Let’s say you automatically send an email to customers when they sign up for your newsletter or abandon their cart. While most brands will send a generic email, companies that adopt machine learning can tailor content and offers based on that consumer’s browsing history. If they looked at your brand’s range of dog toys before signing up for your newsletter, a relevant offer on chew toys would make them much more likely to re-engage with your brand.

For SaaS brands, AI-powered marketing automation tools can analyze much larger and disparate data sets to better segment leads. This allows sales reps to prioritize those leads that are much more likely to convert.

Marketing automation is incredibly powerful. According to Invesp, marketing automation leads to an over 14% increase in sales productivity and an over 12% reduction in marketing overhead.

It’s entirely possible to do this without machine learning, but AI makes your automation efforts much more personalized and much more powerful.

Utilize Chatbots

Chatbots are a powerful customer service tool. Eight out of ten consumers who have engaged with them report a positive experience. If you run an online business, they are all but essential.

With chatbots, you don’t have to have a human on-hand to respond to consumers. Instead, machine learning-powered chatbots can automatically answer consumer queries with a scarily-high rate of accuracy. That’s because your chatbot will learn from your website’s content and the conversations it has with consumers to constantly improve the answers it provides.

Because the chatbot is continuously learning and improving itself, it will deliver an even better customer experience with more conversations. You may want to have your chatbot pass an incredibly complicated query onto a human at first, but soon the bot will become so effective there’ll be no need for a human to interject. Eventually, you’ll have a smart enough chatbot to upsell the consumer, not just answer their questions.

Consumers probably won’t be able to tell they’re speaking to a robot, either. Some chatbots, like IntelliTicks, employ another branch of AI, Natural Language Processing (NLP), to have human-level conversations with customers.

What’s more, data gathered by AI-powered chatbots can be analyzed by another machine learning algorithm to generate insights that marketers can use to optimize their efforts going forward.

What is the Future of Machine Learning?

Things move fast in the world of machine learning. Expect advances in marketing AI to happen rapidly.

Improved unsupervised machine learning algorithms are in development right now, for instance. These algorithms don’t need input from humans at the start, making them much easier and faster for marketers to implement.

Personalization will become even more powerful, too. Machine learning algorithms will become better at discerning what consumers want for one, but the ways they can be integrated with online stores will improve, too. Soon, marketers will be able to customize every part of their sites for individual users, much like social media timelines are personalized for every user.

Finally, expect big advances in mobile machine learning. AI-powered digital assistants will become a more prominent part of our life, and marketers will have to develop strategies to contend with this. Mobile applications will also be able to integrate machine learning features in the same way websites can right now.

Don’t get overwhelmed, however. Before you start worrying about what the future holds, work your way through the suggestions I’ve made above first. You’ll then be ready for whatever occurs in the future.

Conclusion

It’s clear: machine learning can transform your digital marketing efforts.

Don’t rush into the world of machine learning, however. Adopting solutions without first understanding how the technology works and its role in your company will typically do more harm than good.

Machine learning is powerful, but it isn’t a silver bullet. Adopt one solution at a time, however, and you’ll be fine.

Continue your education by reading my articles on AI’s role in SEO and AI-powered digital assistants.

Which machine learning strategy are you going to implement first?

The post How to Use Machine Learning to Improve Your Digital Marketing appeared first on Neil Patel.

Best Online Reputation Management

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You’re already doing so much for your business. How do you successfully manage your online reputation, too?

You can do it and do it well. But if you’re already managing a lot, your best bet is outsourcing it to an ORM, or an online reputation manager.

Your online image can determine how long you stay in business and if your profits grow year after year. The problem with that is that you can’t always control what customers say about you online, or even when a damaging business mishap gets out in the open.

To help you put your best image out there, I’ve reviewed and done extensive research on online reputation managers, so you don’t have to. Finding the best ORM for you is easy once you know exactly what you need.

The Top 4 Options For Online Reputation Management

Go Fish Digital – The best ORM for managing reviews
Reputation Rhino – The best for individuals and small businesses
Reputation Resolutions – The best ORM for crisis management
Big Leap – The best for SEO and content management

How to Choose The Best Online Reputation Management For You

Unfortunately, there isn’t a singular “best” reputation manager that fits every business like a glove. If there was, then this guide wouldn’t be necessary.

Different ORMs cater to different services. This can mean some are better than others at crisis management, online monitoring, online review management, SEO focused branded content strategy, or even supplying attorneys to advocate on your behalf.

First, are you building a new online reputation from scratch? Maybe you’re trying to improve a negative reputation? Or are you being proactive and investing in maintaining a good one?

You have to determine where you are on your reputation management journey. Then you can think about a few factors that can refine your search even more.

Business Size and Type

Your company size generally correlates with the size of your reputation. Obviously, the bigger and more varied your sales channels, the more work you’ll have managing how you look online.

Your business’s size can also dictate the amount you’ll want to invest in ORM services. Some questions to consider are: What is your estimated current business reach? What types of distribution channels do you sell through or publish content on? Are you a service-based business, an organization, or an e-commerce store?

When choosing the best ORM for you, these are some key questions to consider before moving forward. If your business isn’t a complex enterprise, you won’t need a costly ORM that specializes in litigation, video removal, or a team of expert attorneys.

Marketing Strategy

Your marketing strategy also determines the type of online reputation management you need.

Do you primarily sell via a content creation strategy? Do you sell on multiple e-commerce platforms? Is your business big enough that it sells through on-air advertising? Do you already have a strong social media presence that drives sales?

Outlining how you primarily reach your customers is another way to narrow down your search. If you don’t, it might affect how well your ORM can deliver results.

Long-Term Crisis Management

Think about the future of your business and its reputation. Sure, at some point you might need to put out a reputation fire that caught you by surprise ASAP. Or maybe you’re only getting started and want your name out there in the short-term in a positive light to drive more sales.

But do you have a long-term plan for managing reputation crises that will inevitably come up in the future?

This will determine which ORM can deliver on either your short-term or long-term goals. Each one is built differently to cater to your business goals, as we’ll see further in this guide.

The Different Types of Online Reputation Management

There are tons of online reputation managers out there that offer a lot of the same services. But most of them fall into three main types. Most reputation management companies will provide an initial analysis and general monitoring of your reputation’s current state.

After that, they start to get a little more specific in how they specialize.

Crisis Management

Crisis management usually takes more than a one-off approach to managing any brand’s reputation. You might need more than image takedowns, burying negative reviews with positive ones, or generating positive content.

How an ORM handles a crisis can mark the difference between a business that survives through it or one that suffers those losses and ultimately closes its doors.

ORMs that handle crisis management usually approach them from all angles, meaning deploying a long-term reputation management strategy and additional costs.

Online Review Management

Online reputation management specializing in managing negative reviews tends to be a great fit for service-based businesses and e-commerce stores.

Those terrible product reviews you read first on any product you find online? The right ORM can be effective in either removing them with their own set of tools and contacts or burying them with positive reviews over time.

Businesses with reviews on Yelp, Amazon, or their own storefronts can benefit significantly from hiring an ORM effective in negative review management.

Though, if you’re an enterprise-grade business that needs review removal as part of a broader strategy, you’ll want to go with a more varied ORM.

Content Management

ORMs can focus on content creation as a reputation management strategy, surrounding your business with tons of positive branding.

They don’t necessarily have attorneys at your beck and call ready to take down negative media propaganda. But their laser-focus on SEO strategies that put the best reviews and mentions of you out there can be worth it if it means you’ll make a great first impression.

This also improves your new and returning customer experience.

A majority of your customers are using Google to search for your products or services. Making sure search results show the best content about you online is the way to go if you’re a content-focused business.

#1 – Go Fish Digital — The Best ORM For Managing Reviews

I’ve listed Go Fish Digital as the best agency for managing reviews, and while that’s true, Go Fish Digital also wows with the option of full-service reputation management used by the likes of Geico, Ford, and Airbnb.

With Go Fish, you can gain thorough insight into your customers’ reviews and comments online.

They work closely with huge review sites like Yelp to manage negative reviews by advocating for review removal on your behalf through their agency tools. They also work to get your best Yelp reviews to the top for more visibility.

They’re exhaustive in their brand monitoring abilities and monitor all corners of the internet like Wikipedia and Reddit threads to create a plan of action in your favor.

Go Fish’s review management works by pushing positive content to higher visibility with SEO, adjusting copy in public places where you’re mentioned, cleaning up Google autocomplete, and even promoting positive information about your business wherever your target audience is.

As they create results, they keep you up to date with a relevant score you can see on their dashboard.

To be clear, Go Fish is a reputable ORM that does not post false reviews for you. Still, their Yelp review management service is one of their strong suits.

Some of their best review management features are:

Managing negative Google reviews
Negative auto-complete cleanup often generated from those reviews
A dashboard that keeps you updated on your brand’s daily search results
Crafting a strategy for your business to encourage the best reviews possible
Creating and delivering a strong case on your behalf for negative review removal to the Yelp team

For pricing, you’ll have to contact them directly to get a quote.

As with most ORMs, their prices change depending on the size of your business and the specific services you’re looking for.

Get in touch with Go Fish to get an initial quote.

#2 – Reputation Rhino — The Best For Individuals and Small businesses

If you’re wondering who exactly needs reputation management, Reputation Rhino’s answer is ‘everyone.’ That’s why it’s the best ORM for solopreneurs and small businesses.

Reputation Rhino is a leading online reputation manager based in New York with clients like Disney, Microsoft, and Nestle. They offer a number of reputation solutions for almost any scenario imaginable, including ones that cater impressively to an individual and their personal brand.

It doesn’t matter if you’re a doctor, university, hotel, or contractor, Reputation Rhino helps you with Glassdoor, Yelp, and YouTube review removals, social media management, and even an SEO strategy to put the best parts of your brand (or yourself) front and center.

Do you have terrible images that need to get removed from Google? They can do that. Do you need to fight against libel and personal defamation? Their team of public relations specialists can do that, too. These are services an individual or small business may not know how to do or not have time to take care of.

Their best ORM services for individuals include:

A personalized strategy to defend against smear campaigns
Suppressing negative online search results
Adding an extra layer of protection to your personal privacy
Eliminating news articles, forum comments, and negative content

As an individual or SMB, you might be nervous about investing money into an ORM. To help, Reputation Rhino offers a 30-day money-back guarantee that can ease your worries about whether they’ll deliver. If you need a more personal approach to reputation management, Reputation Rhino is happy to work with you individually.

Their pricing starts at $1,000. But you’ll have to contact them for a personalized package.

Get started with Reputation Rhino and request more information.

#3 – Reputation Resolutions — The Best ORM For Crisis Management

Unlike other ORMs out there, Reputation Resolutions is the go-to agency for crisis management that can start working on your behalf in 24-72 hours.

A combination of their speedy response, team of attorneys, wide array of solutions, and seasoned professional team makes them the best ORM for enterprise-level reputation and crisis management.

Maybe your business is an established corporation, but there’s been a sudden increase of negative reviews, you’re dealing with a handful of loud, angry customers online, or there is negative propaganda about you in the media. Ouch. Reputation Resolutions provides everything you need to turn a crisis around.

Here’s a quick rundown of their top-tier crisis management features:

Cyber forensic investigation
News article removal
Court record removal
Thorough and ongoing reputation monitoring
Private information removal
Unwanted image removal

If you’re an smaller or mid-sized business looking for a management agency to simply take care of negative reviews, Reputation Solutions isn’t the agency for you.

Alternatively, if you’re an established, well-known business in need of comprehensive PR management, attorneys, or copyright infringement services, then look no further than what Reputation Solutions can offer you.

To get a pricing quote, email or call them for a free consultation, and they will learn more about you and tailor their services to your specific needs.

#4 – Big Leap — The Best For SEO And Content Management

Big Leap’s ORM services are designed around one thing: content management. Their award-winning content marketing strategy centers around burying the negative and growing the positive.

This is fantastic news for you if you’re looking for an ORM that cares deeply about gaining customer trust through a long-term strategy.

If your marketing strategy is mainly through content, you’re not as concerned about a sudden PR crisis, or Yelp reviews are mostly irrelevant to your sales success, then Big Leap’s trust-building approach can help you create results.

They begin by scouring the internet for every mention of your business. They do social media and search audits, along with a competitive analysis, to give them the bigger picture of where your reputation lies.

Then they create a positive content strategy tailored specifically for you through brand-strengthening content and social media campaigns. As they execute their content strategy, Big Leap regularly reports back to you with updated results.

Some of their best ORM content management features include:

Brand name monitoring
Content strategy, creation, and promotion
Site optimization
Constant workflow updates on content strategy execution

Big Leap doesn’t list their prices publicly, but you can request a quote on their site.

Conclusion

You don’t have to suffer from a bad reputation that only seems to be out of your hands. There are plenty of agencies out there that can help lighten your reputation management load once you’ve reached out and established a relationship with them.

Online reputation management agencies can indeed offer a lot of the same services. But look closer to find what they specialize in. Hopefully, this in-depth guide helped shed light on which of the top ORMs can work for you.

Check out each agency on this list and get a quote from the one that fits you best to start managing your online reputation now.

The post Best Online Reputation Management appeared first on Neil Patel.

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