How to Use AI to Personalize Your B2B Marketing Strategy

When you think of personalization in digital marketing, what type of strategy comes to mind?

According to Gartner analyst and VP, Jennifer Polk, most marketers imagine how to personalize marketing from the wrong angle.

Polk says if you think “I need to make Justin’s experience totally different from Samantha’s, and Samantha’s experience completely unique from Bob’s,” your entire strategy becomes a false construct.

The point isn’t to make everyone’s experience different – it’s to make every individual experience relevant.

Artificial intelligence lets you accomplish both while only doing half the work.

You can deliver a unique experience for every visitor by creating relevant content for specific groups and letting AI do the challenging part: getting it in front of the people who need to see it at the right time.

Here’s how to personalize your B2B marketing strategy with help from AI.

3 Benefits of Personalized Marketing in B2B

Despite its importance for lead generation and widespread use in B2C, many B2Bs still haven’t managed to scale or implement high-level personalization strategies.

In fact, estimates say 80% will abandon their data-driven personalization strategies by 2025 citing poor ROI. You can’t ignore the benefits of personalized marketing anymore because your leads and current customers expect it.

1. Your B2B Visitors Want the Benefits of Personalized Marketing for Themselves, Too

Consistently producing content is important, but without personalization, it gets ignored.

A Forrester study revealed that millennials make up 33% of B2B buyers in 2019, a figure expected to reach 44% in five years. More than half of millennials in the study agreed on two things when asked about B2B content: Vendors give them too much and most of it is useless.

Nearly three-quarters of buyers admitted in a separate study that they struggle to find the time to sort through material looking for something valuable.

A personalized website experience empowers your visitors and helps them to do their job.

Gartner

2. It Builds Trust and Shows You Care

By the time a lead converts into a buyer, they’ve consumed 13 content assets from your brand on average. Keep in mind this includes a mix of first- and third-party material about your brand.

Those 13 pieces also include several types of content – such as eBooks and case studies – which buyers use to evaluate your products, learn about your value, and see if you’ll live up to expectations.

You can’t establish trust without conversations, and you can’t have conversations online without high-quality content.

3. Personalization in Digital Marketing is Cost-Effective and Improves Lead Quality

You can employ high-level personalization with AI effortlessly yet earn $20 ROI for every $1 spent.

When someone decides to get a new tattoo, what’s the first thing they might do? After putting a basic idea together, they’ll research the portfolios of several artists to find someone who can add the ideal personal style.

Personalization in B2B digital marketing works the same way. Beyond trust, it helps visitors to figure out if you’re a good fit for their needs and culture. That’s why knowing how to personalize marketing properly improves your lead conversions by 51% and boosts lead quality by 59%.

How to Personalize B2B Marketing with the Power of AI and Machine Learning

Only 5% of B2Bs implementing personalization felt confident in their efforts before the pandemic economy struck.

If you’re not totally happy with your strategy, don’t stress – you can still reap the benefits of personalization.

Create a Content Marketing Strategy for Different Firmographics and Stages

Personalization is nothing without relevant and valuable content. Strategy isn’t just a fancy word, it matters: 69% of B2Bs with top-performing content document their strategy but only 16% of the least successful B2Bs can say the same.

You’ll need to create content with two tiers of segments in mind: firmographics and stages of the buyer’s journey, or “jobs” as Gartner calls them:

Gartner

For firmographics, you’ll want to create personalized assets for distinct job roles and, ideally, companies as part of an account-based marketing strategy.

Don’t be shy about investing in content for current customers – like tutorial videos or infographics. These assets show leads how you can help them post-purchase AND prevent customer churn via digital customer service.

Organize Your Content by Verticals and Pain Points

It’s not enough to personalize the content itself. Sixty-eight percent of buyers say they’d like you to categorize your content by pain point or issue. Meanwhile, 58% want to see it organized by vertical.

An AI engine lets you do both via an adaptive content hub. Similarly, machine learning provides an interactive experience, which buyers say could entice them to spend up to 20 minutes browsing a single site.

Here’s an example from the Hushly adaptive content hub:

Use Content Bingeing and AI to Empower Leads

Amazon sets the standard for ecommerce. First, it was two-day shipping, then one-day, and now same-day delivery in some cases. Amazon also sets the standard in experience – yes, even for B2B buyers.

By adding an AI engine to your website, leads can browse your content at their pace without blockades from intrusive forms.

Dead end landing pages and lead forms are replaced with endless streams of recommended content based on browsing behavior and innovative intent data. It uses the same bingeable and personalized algorithms as Netflix with one difference: it chooses content to guide leads down the sales funnel.

Find Company Influencers and Conversation Starters

Finally, you can’t personalize an experience without some good old human conversations. Start with two sets of influencers: one for your company and one for your target industries or accounts (for ABM).

Enlist people on your team to act as ambassadors. They won’t outright sell your brand – they’ll just talk to your audience in comments and posts.

Say Goodbye to Poor Lead Quality with Hushly AI Engine

Hushly’s innovative personalization platform is proven to improve lead quality by 59%. The AI-driven personalization lets buyers research at their own pace while gently guiding them toward conversion.

You’ll only collect verified information from leads who genuinely want to stay in touch with your brand.

Find out how adding an AI engine to your B2B site can improve lead conversions, quality, and engagement.

8 Step Checklist: How to Reduce Your B2B Website Bounce Rate

Website bounce rate is one of the most misunderstood metrics in Google Analytics – often confused with the exit rate.

As Google explains, a bounce is a single-page session. If someone clicks on a blog post link from social media, reads the article, and returns to their newsfeed afterward, that’s a bounce.

Google Analytics tells you the individual bounce rate for each page as well as the average across your website.

If a high bounce rate tells you people are leaving your site, that’s not good, right?

Not necessarily. It depends. For some pages, you’ll certainly want to learn how to reduce your bounce rate. For others, however, it’s not so important.

What’s a Good Bounce Rate for B2B Websites?

Like most metrics, the B2B bounce rate benchmark isn’t set in stone. By crowdsourcing an answer on Quora, we can see 40% to 60% seems to be the agreed “good” range for B2B websites.

But what about minimalist PPC landing pages with a single CTA? Or FAQ pages?

Shouldn’t those have high bounce rates because the visitors either converted or found what they needed?

It really depends on the goal of each page. With content, your goal is to hook people and encourage them to keep clicking. A high bounce rate for your content hub or homepage signals there’s something wrong with your:

  • Speed
  • User experience (UX)
  • Design and navigation
  • Content quality and headlines

How to Reduce Your B2B Website Bounce Rate

Some strategies for reducing your bounce rate are simple fixes. Others, however, require you to take time to rethink and adapt how you approach your content experience.

1. Figure Out Which Pages Need Improvement

Don’t look at your bounce rate alone to judge your engagement and performance. Make sure to analyze other metrics like:

  • Pages per session
  • New and returning visitors
  • Time spent on each page
  • Conversion rates

A high bounce rate across all pages – including your homepage – definitely warrants a closer look. Don’t worry about landing pages too much since they serve a specific purpose – unless that purpose is to drive traffic to a second page.

Start with your homepage or low-performing blog posts.

2. How to Reduce Your Bounce Rate by Breaking Your Reliance on Social Media

Social media is great for reaching new audiences, building relationships, and boosting brand awareness. However, traffic from social media tends to deliver the second-highest bounce rates – just behind display ads.

When people click on your blog post from their social feed, they’ll read it and hit the back button when they’re finished. Whether consciously or subconsciously, your blog was a side quest from the main quest of scrolling social media.

Devote some more time to keyword research, SERP rankings, and even email marketing. Organic traffic delivers lower bounce rates and higher session times by far.

CXL

It’s also smart to focus on building your referral traffic, which can be quite sustainable. Look for new guest blogging opportunities and syndication.

3. Make Sure Your Site is Mobile-Optimized

Up to 70% of B2B searches happen on mobile devices, so optimization is critical.

There’s nothing less mobile-friendly than a lead magnet form. You can optimize a form all you want – it’s still a form standing in the way of content.

Buyers – especially young buyers – are more likely to hit the back button and look elsewhere for the information they need. To reduce bounce rates, get rid of forms. It can even boost your engagement by 3x and lead quality by 59%.

4. How to Reduce Your Bounce Rate with an AI Engine for Personalization

When it comes to personalization, business buyer expectations mirror that of consumers. 72% expect hyper-personalization and an Amazon-like experience:

Salesforce

An AI engine is the only way to personalize your website in real-time with visitor behavior. AI gives your visitors the Amazon-like experience they expect because it uses similar algorithms to select personalized content recommendations. 

It’s no surprise that 84% of businesses expect to see ROI from AI within a year through better engagement and lead nurturing.

5. Speed Up Your B2B Website

No one likes a slow website. With 5G, the demand for instant gratification will only grow stronger. Your website should load in under three seconds – ideally two.

You can use tools like Pingdom to check. WordPress plugins can compress images for you instantly, clear caches, and clean up file issues. However, some fixes – like redirects – are best left to an expert.

6. How to Reduce Bounce Rate by Rethinking Your Exit Intent Popups

If you want to know how to reduce bounce rate, jump on the exit intent popup bandwagon. Be careful, though. No one wants to be confronted with a form as they’re trying to leave your site.

Instead, use an AI engine to catch your visitors with relevant content based on their reading behavior.

Hushly

7. Kick Your Content Quality Up a Notch

Sometimes, a high bounce rate tells us we need to improve our content quality. Ask yourself these questions:

  • Do your headlines match the content’s copy?
  • Are you including enough internal links and CTAs around your copy?
  • Is your content too general to resonate with visitors?
  • Are you creating the right types of content (blogs, eBooks, podcasts, etc.) for every stage?

8. Reorganize Your Content

Business buyers say they’re more likely to binge content for up to 20 minutes if it’s organized properly.

68% would like you to organize your eBooks, case studies, and blogs by pain point or issue. Another 58% say it would be helpful to see categories based on industry or vertical.

Remember, your content organization should make your visitors’ lives easier. Help them find what they need from you with minimal effort and employ content bingeing features.

Engage Audiences with the Power of AI

Hushly’s AI engine helps you improve website engagement while you sleep! Using the same algorithms as major brands like Netflix and Amazon, the Hushly engine study’s each visitor’s behavior to provide personalized content recommendations. You can create a content experience that allows leads to self-nurture at their own pace.

Learn how Hushly AI can reduce bounce rates by seeing it in action with the Adaptive Content Hub.

5 Lead Nurturing Tactics You Need to Earn Trust

When you start your journey for a new product – like running shoes or a laptop – you don’t buy the first product you see, right?

No, you probably start by seeing what new styles or features are available, researching prices and technology, watching videos, and reading reviews.

You follow a certain strategy to see if a product deserves your trust.

B2B buyers are the same way. The journey might look a lot different and there are more people involved, but you still have to earn their trust using different strategies.

Like B2C, you’re living in a buyer’s market. Your B2Bs have more choices and resources than ever – the journey is in their control.

That’s why it’s important to empower leads rather than push them around. Lead nurturing tactics should focus on slowly earning trust through valuable content, personalization, and human conversations.

5 Lead Nurturing Tactics to Build Authority and Trust

When you meet a new friend or go on a first date, you typically look for red flags and green lights that signal someone’s a trustworthy person or not. Your leads run through a similar checklist.

Sure, everyone’s needs might look a little different, but you should make it as easy as possible for leads to find what they need and learn about your brand.

1. Create Content for Every Firmographic at Every Stage

Most B2Bs have adapted to changing expectations but 41% still don’t have a documented content marketing strategy.

You need consistent and valuable content if you want to empower your leads. It’s a personal choice for each brand to dictate their goals. However, some smart content goals include:

  • PR materials to explain your company mission, values, and culture
  • Informative blogs and eBooks to educate on your industry pain points and tips
  • Thought leadership pieces to highlight the nuance you bring
  • Use cases and case studies to show the value of your product or services
  • Tutorials to help customers make the best use of your product

Notice anything? Each point on the list applies to a specific firmographic at a distinct stage of the sales process.

Keep in mind that content designed for one stage helps to empower buyers at every stage.

For example, a page filled with useful tutorial content like explainer videos, infographics, troubleshooting, and maintenance is usually designed to prevent customer churn. However, a lead might also notice the tutorials and note their value while deciding between your brand and a competitor.

Hushly

2. Swap Lead Magnet Forms for Self-Nurturing Landing Pages

Lead magnet forms are dead. There’s just no way around it.

Think with Google estimates that 70% of all B2B searches happen on mobile devices. Forms are the opposite of mobile-friendly.

Look at it this way. Say you’re in the market for a new laptop, so you’re researching specifications from your phone, lounging on the couch. You click a link, but the website throws a form at you and says you have to fill it out if you want to access the blog.

Nine times out of 10, you’ll just hit the back button and try a new link. You don’t want some random site to have your email address.

Buyers agree and they carry the same attitude with them when they go to work.

Self-nurturing landing pages give leads a sample of your content. When they get to the bottom, they can either give you their email address or browse another blog recommended by the algorithms.

The AI satisfies the demand for bingeing relevant content and guides them down the sales funnel without confronting visitors with an intrusive form.

3. Use AI-Driven Content Hubs to Organize by Pain Point or Issue

B2Bs spend more time researching alone than contacting sales teams. However, 73% say they’re still pressed for time while they research and wish you would make your content easier to find.

An AI-driven content hub lets you organize your assets by pain point or vertical – which 68% and 58% say they’d love, respectively.

Buyers consume an estimated 13 pieces of content from a single vendor during the journey. You can either make it easy for buyers to find what they need or let them build trust in your competitor’s content. AI provides the former.

4. Create Personalized Email Journeys with Lead Nurturing Tools

Email is often one of the first marketing strategies businesses automate because it’s easy to implement and track.

Any modern email service provider should give you all the lead nurturing tools you need to personalize every subscriber’s journey.

Go back to the drawing board where you came up with buyer personas for firmographics, verticals, and stage of the sales funnel. Use these segments to create email campaign segments.

You’ll design a unique set of buyer journey emails to introduce leads gradually yet assertively to your brand. Stick with a single topic for each campaign. Using triggered emails and metrics, you can track the most active subscribers and place them into different categories based on engagement.

For example, you might start with a general email series for nonprofits but later segment the content by job role once a subscriber clicks a link in the first campaign.

5. Launch Genuine Conversations with Social Selling on Relevant Lead Nurturing Channels

Did you know some industries – specifically those in tech and software – see 50% of their revenue coming from social selling tactics?

People crave human interaction, especially now with everyone spending so much time indoors and away from events.

Use LinkedIn, Twitter, and other lead nurturing channels to build genuine conversations with your audience. LinkedIn offers a CRM feature you can incorporate in the Sales Navigator to track your social selling progress.

For a deeper dive, figure out where your leads hang out on Reddit and participate in conversations there (without outright promoting your brand).

social selling

LinkedIn

Add AI-Driven Personalization to Your Site Now

Like any new relationship, you must strive to build trust with your leads. Lead nurturing tactics should use content, conversations, and data to work with the power of AI. Artificial intelligence is the only way to nurture leads at any stage of the sales funnel – whether you’ve collected their email or not.

Learn how adding an AI engine can increase lead conversions by 51% and lead quality by 59%!

Why You Need Artificial Intelligence to Create the Best Lead Nurturing Strategies

Lead nurturing is a delicate and complex process.

On the surface, it seems simple: a prospect converts into a lead, you nurture with relevant content to guide them toward a purchase, you continue nurturing to prevent churn, and so on.

In reality, it’s nearly impossible to nail down a finite buyer’s journey.

Look at this example from Gartner:

Gartner

One buyer on a team might download a whitepaper. Another will have a discussion with your brand on LinkedIn. Meanwhile, someone at the C-level on the team might be replaced and the budget will be reworked.

With up to 10 team members participating in each buying process, how do you figure out who to target and when with the best lead nurturing strategies?

You can’t.

That’s why buyers are surprising sales teams when they jump forward and convert before sales even realize they exist. It’s a big problem, and AI is the missing link you need to nurture leads the right way in 2020.

Why You Need AI to Create the Best Lead Nurturing Strategies

AI works because it can run through massive data sets much more efficiently than humans can. Artificial intelligence can also notice subtle behavioral patterns humans would never notice.

Plus, it gets better at its job the longer you implement it so you’re always running the best lead nurturing strategies that just keep improving.

A screenshot of a cell phone

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Hushly

1. You’ll Only Collect High-Quality Leads

Of all the leads you collect and spend time (and money) nurturing, how many would you say end up converting? If you’re like most B2Bs, less than a third of leads passed off to your sales team is qualified.

Relying on artificial intelligence for on-site lead nurturing lets you remove forms from your landing pages. Leads can still provide an email address to stay in touch when they’re ready, but ONLY when they’re ready.

That’s why using AI to generate leads boosts lead quality by 59%.

2. You Won’t Have to Deal with Inaccurate Data

Artificial intelligence also solves the issue of bad data at its source. You can’t create the best lead nurturing strategies if your data is wrong – and statistics say it probably is.

An estimated 80% of organizations will ditch their personalization strategies within the next five years due to poor data. Bad intel is costly, and 62% of businesses are already using data that is up to 40% wrong to guide their strategies.

AI starts nurturing leads from the second they visit your website: no more waiting for email addresses to follow up. And when they sign up, AI makes sure their email address is valid and belongs to a human buyer while filling in all the gaps.

3. AI Meets the Demand to Help Leads Research

B2B buyers want to find all the content they need on your website. They don’t want to send an email or pick up a phone.

Meanwhile, 73% of buyers are busy and have less time to sort through content looking for what they need. They certainly don’t want to fill out a form when they finally arrive at a blog post that looks helpful.

During the sales process, a buyer will consume 13 pieces of content from your brand on average. Buyers say you can make their life easier by categorizing your content by pain point, issue, and/or vertical.

Artificial intelligence does that for you through an Adaptive Content Hub. Not only is your content organized with useful categories, but machine learning also studies your visitor’s behavior and helps them find exactly what they need – just like Amazon.

4. It Lets You Engage Leads Across Every Touchpoint

Once a visitor reads a few content assets on your website, you can learn a few things about them: their stage of the buying cycle, industry, pain points, where they work.

You can also use AI-offsite to create the best lead nurturing strategies with retargeting.

Facebook Pixel lets you target your website visitors based on their behavior across the internet. This comes in handy for tracking brand awareness, too. LinkedIn retargeting is another useful tool.

5. It Pushes Leads Through the Buyer’s Journey Before They Ever Contact You

AI and machine learning provide another useful feature: their algorithms are designed to recommend content that gently pushes them down the sales cycle.

Using behavioral data from each visitor’s session history, previous similar visitors, and intent data, AI can adapt which content assets it recommends anytime.

In other words, it doesn’t matter how convoluted the buyer’s journey gets because AI will always adjust its tactics as soon as it notices a micro-change in behavior.

Hushly

6. AI is More Affordable Than Traditional Lead Nurturing Strategies

Traditional lead nurturing is outdated, inefficient, and expensive.

Individually, things like PPC, email marketing, and social media aren’t necessarily expensive. When you’re putting your effort into non-qualified leads though, that’s another story.

Hushly’s AI engine, for example, only charges a flat price per lead – and only genuine leads, not fake ones. You never have to pay to use the platform or add it to your site.

Your sales and marketing teams can free up hundreds of hours each year they spend on hunting down low-quality leads. Instead, they can focus on creating the best lead nurturing strategies for high-quality leads.

Finally, the numbers speak for themselves: advanced personalization delivers $20 ROI for every $1 spent.

7. You Can Create the Best Lead Nurturing Strategies for ABM

Eighty-nine percent of B2B companies are running ABM strategies now and most of them are less than five years old. A whopping 68% of them rely on automation.

Without AI and machine learning, it’s impossible for small and medium-sized businesses to target the right accounts at the right time. You simply can’t whip up the resources to figure out all the essential data because it changes so often.

Artificial intelligence uses a myriad of data from several sources, including your on-site behavior, to identify key firmographics and recommend the perfect content.

Meet the AI Behind the New Lead Nurturing Best Practices

Artificial intelligence is incredibly simple to implement. Once you start running the Hushly AI engine on your site, lead conversions immediately jump by 51% – guaranteed. That’s how easy it is to completely transform your digital experience and reap the benefits of personalization.

Revolutionize your tactics with the best lead nurturing strategies. See how the Hushly AI works and sign up now.

4 Ways a Digital Experience Platform Creates Seamless ABM Strategies

The average consumer engages with six touchpoints across the journey.

Does that sound like a lot? For B2B, the figure is no doubt at least double that.

Research shows buyers consume an average of 13 pieces of content from a single vendor before making their decision. While those 13 include both first- and third-party content, that does give us a glimpse into the extensive journey and complexity of all the touchpoints involved.

For example, take this chart from Gartner documenting the buyer’s journey:

Gartner

You could find many words to describe these environments and touchpoints, but “simple” is not one of them. That’s why a digital experience platform (DXP) is so important for ABM.

What is a Digital Experience Platform?

All definitions of digital experience platform describe it as an integrated piece of technology to optimize every audience member’s experience across all touchpoints.

A DXP ensures you provide a hyper-personalized experience for every visitor, no matter their company or stage.

4 Reasons You need an AI-Driven Digital Experience Platform for Your ABM Strategy

An AI engine serves as the perfect digital experience platform for gathering, analyzing, and organizing data while putting it to work.

Ninety-two percent of B2Bs run an account-based marketing strategy these days. Traditionally reserved for massive corporations, technology has made it easy for small and medium-sized businesses to reap the benefits of ABM.

Salesforce

It’s no surprise that most organizations use automation and artificial intelligence to carry out their ABM strategies. Here’s why AI engines are so important as a digital experience platform.

1. You’ll Only Collect Accurate Data from Qualified Leads

It’s time to address the elephant in the room: bad data.

Did you know 40% of your overall data is either missing, duplicate, or just plain wrong? Up to 25% of B2B databases contain critical errors.

Bad intel is the enemy of personalization. You need quality data from qualified leads to learn about your audience, create relevant content, and deliver content to the right people.

Unfortunately, most B2Bs are doomed to failure from the second they capture a lead. With the strategy of “more is better,” businesses keep their content gated behind forms and capture email addresses from every visitor.

This strategy leads to databases riddled with fake names and email addresses as well as missing fields.

An AI-driven digital experience platform sets your content free from forms. Instead, every visitor gets a sample, and they can submit a business email address when they’re ready.

Since you’ll only collect genuine emails from qualified leads, your data starts from a much more accurate place. Plus, the AI platform cross-checks the business email with public sources like LinkedIn to fill in other firmographics like

  • Job role
  • Location
  • Years at the company
  • Company size

You can build comprehensive personas and lead profiles just from an email address. No more faulty lead data.

2. Leads Can Self-Nurture at Their Own Pace

Gated content creates another problem: it pushes away mobile users. According to Think with Google, 70% of all B2B searches happen on mobile devices, amounting to 40% of all B2B revenue.

No one on any device likes to see a form pop up when they’re trying to access a key statistic or blog post.

Removing forms and allowing visitors to browse at their own pace satisfy the demand for instant gratification of information.

Plus, an AI digital experience platform uses content bingeing to continuously recommend relevant content assets to keep leads on the page. It chooses content to guide them down the sales funnel, from exploration to conversion.

Research shows buyers complete up to 90% of the sales process before ever contacting a sales team. Furthermore, Gartner has found that only 17% of the sales journey is dedicated to contacting suppliers, with each supplier only receiving about 5% of the buyer’s time.

Why not use AI to let them self-nurture? By the time they sign up, they’ll be in the final decision-making stages.

3. Every Experience is Hyper-Personalized

With so many touchpoints along the buyer’s journey, how can you hyper-personalize every interaction for every account?

Artificial intelligence creates a unique experience for every visitor. When someone visits your site, your AI digital experience platform closely monitors their behavior.

If they read a blog about NGO accounting, for example, the AI knows they probably work in the financial department of a nonprofit. It will then choose other pieces of content that similar visitors consumed.

Keep in mind, the AI creates this custom experience without learning the visitor’s name, company, or email address – it’s all strictly by behavior.

Using that behavioral data, however, along with third-party intent data, the AI can identify which company they belong to and their stage of the buying process to further personalize their experience.

Best of all, you get to analyze the behavioral data and apply it to other nurturing strategies, like LinkedIn retargeting or email campaigns (after the visitor decides to provide an email address).

4. You Can Organize Content by Firmographics or Pain Point

Here’s a secret: your ABM leads want you to organize your content better.

Seventy-three percent of buyers say they don’t have as much time to research as they’d like. They need relevant and useful content, and they don’t want to search for it.

A digital experience platform lets you organize your content based on any category you choose. This is important: 68% of buyers say they’d like to see content organized by issue or pain point while 58% would like it categorized by vertical.

This comes in handy for ABM because you can create specific company categories or issues based on the account’s industry.

If it’s interactive, even better. Over half of B2Bs could see themselves consuming your content for up to 20 minutes if you employ interactive features.

That’s why an AI-driven digital experience platform is vital for engaging ABM audiences and reducing website bounce rates.

Level-Up Your ABM Strategy with an AI Engine Platform

Account-based marketing needs AI technology to reach the right people with the most relevant content. Without AI studying visitors and providing them with the perfect content asset, you’ll spend hours curating specific emails, blogs, and social media posts to nurture leads.

Let AI handle it. Learn how an AI engine creates a hyper-personalized experience and gently guides leads down the sales funnel.

How to Improve Inbound Marketing Personalization for Better Lead Quality

Do you find that your sales team wastes too much time hounding leads that go nowhere?

Maybe your entire database is plagued with bad intel, and it’s throwing off your personalization strategy.

The truth is, you’re only as strong as the worst part of your database.

Sixty-two percent of businesses use data that is up to 40% incorrect to guide their marketing and sales decisions.

Not only does this send your sales team on wild-goose chases, but it also costs you big time in terms of failed marketing strategies.

It might seem like collecting as many leads as possible makes the most sense, but it’s not a sustainable strategy.

You need quality leads to learn about your audience. A bunch of average or poor leads teaches you nothing.

Instead, improve your inbound marketing personalization and enjoy better quality leads.

What’s Wrong with Your Lead Quality and Why Improve Inbound Marketing?

Only about a quarter of all leads sent to sales end up qualified.

You could argue that marketing needs to do a better job scoring leads, sure. However, improving the quality of every lead you collect from the beginning is much easier, right?

It addresses the problem at its source.

Here’s what typically happens:

  • Someone visits your website to read a blog or report and sees a lead form.
  • They make a choice: fill out the lead form just to access the content or hit the back button and look for it somewhere else.
  • Some visitors end up filling out the form – often with incorrect information – just to access the content.
  • Other visitors, including qualified leads, leave the page because they don’t want to give you their personal information.

Forms are at the root of lead quality issues. When you remove forms, visitors can consume as much content as they please and they won’t feel the need to “unlock” content with fake information.

A study from 2016 reveals the problems behind poor lead data and unfortunately, things haven’t changed much:

  • B2B databases have a 40% fail rate
  • 33% of errors include duplicate or incorrect information
  • 10% include invalid ranges
  • 8% are missing fields
  • Email address validation problems make up 7% of all errors

These are all very simple and easy issues to fix with technology, but they have a tremendous impact on lead quality.

Why Focus on an Inbound Marketing Strategy for B2B Lead Quality?

Inbound marketing tactics like content marketing deliver three-times more leads than outbound yet costs 62% less.

But what about quality? Personalized content marketing and other inbound tactics ensure that you ONLY collect information and email addresses from qualified leads. Here’s why.

Inbound Marketing Lets Leads Nurture at Their Own Pace

Removing forms from your site lifts the blockade on your content.

Visitors won’t feel pressured to fill out a form if you give them samples. When a prospect feels they’re ready to learn more or keep in touch, they’ll give you their email address eventually.

Research shows that B2B buyers complete up to 90% of the sales process on their own without ever contacting a sales team. That process is convoluted.

In fact, only 17% of the journey is spent meeting with potential sales teams – all the sales teams.

When leads can self-nurture, they’ll be further along in the process and more educated about your brand by the time they convert – making the process seamless for your sales team.

Gartner

You’ll Build Trust in Leads

When prospects and visitors have more time to research your brand through inbound marketing, you have more time to establish trust.

Do you trust a brand – or person for that matter – within the first five minutes of meeting them? Of course not, and it’s even harder for someone to show they’re trustworthy over the internet – isn’t it?

Your B2B buyers are the same way. They need consistent and valuable content to learn about your company, reputation, values, and the products/services you offer.

It Costs Less Than Outbound Marketing

As mentioned above, content marketing costs 62% less than outbound tactics. This figure typically applies to things like PPC vs. blogs.

However, think about all the money your organization could save in time if your sales team only received qualified leads from marketing. Personalized inbound marketing works because you’ll never waste time on dead ends.

How to Improve Inbound Marketing with Personalization

To do its job, inbound marketing must be 100% personalized for every visitor. Fortunately, technology provides all the tools you need to engage your audience with content. By implementing AI personalization, you can increase lead quality by 59% instantly.

How to Improve Inbound Marketing: Study Your Audience to Develop Quality Content

You can’t create personalized content if you don’t research your audience – and consistently.

Buyer needs change and, as per the chart above, the buying process isn’t linear. Don’t be afraid to segment your audience by company or firmographic as you create content as well. Technology makes it easy to target specific job roles or companies as part of an account-based marketing strategy.

Use Artificial Intelligence to Create a Personalized Website Experience

Adding an AI engine to your website lets you organize and distribute your content in a 100% personalized and interactive format.

Fifty-eight percent of buyers say they’re more likely to binge content for up to 20 minutes if it’s presented in an interactive format. Furthermore, 68% say they have less time to research than they’d like.

It’s every B2B marketer’s responsibility to organize content by pain point, issue, or vertical and employ AI/machine learning to make it easy.

How to Improve Inbound Marketing: Replace Forms with Self-Nurturing Landing Pages

Self-nurturing landing pages use AI and machine learning to provide your visitors with endless content recommendations – just like Spotify. Prospects can binge samples of your content until they feel 100% ready to give you their email address.

The self-nurturing landing page also selects relevant pieces of content to guide each lead down the sales funnel, based on what previous visitors like them consumed.

How to Improve Inbound Marketing: Add a Personalization Engine to Your Site Now

A personalization engine creates a unique experience for every website visitor. Your leads receive an experience like Amazon or Netflix but with your B2B content.

Put your amazing content to work. Learn how AI can skyrocket your lead quality with our original research.

How to Use Machine Learning to Streamline Lead Generation

Why is Amazon so successful?

Technology and customer experience.

On one hand, most of Amazon’s profit comes from its cloud platform – Amazon Web Services – which generated $10 billion in net revenue last quarter, up 33% from last year.

Most people don’t know Bezos’s profit comes from Amazon’s software services. Amazon actually loses billions each year on its retail operation.

As for the revenue Amazon’s retail outfit produces, 35% is thanks to its recommendation algorithms.

Sure, people like Amazon’s low prices and fast shipping, too, but they also love the personalized shopping experience it provides.

You don’t have to compete with Amazon. However, you can bring the same AI technology and machine learning to your lead generation strategy. Here’s how.

Why Does B2B Marketing Need AI and Machine Learning for Lead Generation?

Fifty-six percent of millennials working in B2B say they hold director-level positions. Meanwhile, 42% say they’re working in managerial roles.

Regardless, the modern B2B buyer is young and they’ve had access to technology most of their life.

They expect a modern and accommodating experience from your B2B website. They don’t want to pick up a phone just to get a question answered – they expect to get all the answers from your website.

Here’s why machine learning for lead generation matters so much today.

It Lets You Remove Forms

Mobile influences 40% of B2B revenue, and 70% of all B2B searches happen on smartphones.

There aren’t many things less mobile-friendly than forms. Even with autocomplete turned on, no one wants to fill out a form on their phone just to access a blog post.

That’s why machine learning for lead generation is so important: it lets you get rid of forms so visitors can browse at their own pace.

Leads can still give you their email address when they’re ready, but they won’t have to fill out a ton of fields – just a business email address and country. Machine learning takes care of the rest.

It Creates a Hyper-Personalized Experience

Eighty-five percent of buyers say they expect brands to personalize the first touchpoint. It’s impossible to create a truly personalized experience without help from machine learning.

You can create all the content you like and research your audience to no end – those are both important. But without machine learning to deliver the content via a hyper-personalized experience, it won’t work.

It Allows Leads to Self-Nurture

The buyer’s journey is not linear, and buyers only spend about 17% of it meeting with potential suppliers – ALL potential suppliers.

Gartner

Adding machine learning to your lead generation strategy lets visitors self-nurture before your sales or marketing team ever knows they exist.

Visitors can consume content at their own pace and learn about your brand through personalized content recommendations. You can still retarget them later with ads on LinkedIn or Facebook, but on your site, they can self-nurture, unrestricted by forms or pushy sales teams.

How Does Machine Learning Work for Lead Generation?

Every time you open the Amazon or Spotify app, dozens of algorithms jump into action to offer personalized recommendations for every relevant category.

Machine learning for lead generation lets you use some of those same algorithms to organize and distribute your content assets.

  • Content Similarity Model: This algorithm monitors which pieces of content a visitor already consumed and how long they stayed on each page to provide relevant recommendations.
  • Collaborative Filtering: This analyzes the behavior of every visitor, compares it to the current visitor, and presents recommendations based on the results.
  • Session-Based Similarity Model: Differing from content similarity, this model analyzes the path each visitor takes, compares past visits to the present, and offers the next best choice.
  • Popular Assets Model: An algorithm flags your content assets for popular, trending, or new status and presents them to visitors based on that activity. You can use these models to flag your assets for importance as well.

On your B2B site, these algorithms work in tandem to make recommendations and – thanks to machine learning – improve themselves over time.

Better yet, for B2B, the path-based algorithms are designed to guide leads down the sales funnel via relevant content assets.

How to Automate Lead Generation with AI and Machine Learning

You have several tools available to use machine learning for lead generation across your website. Here’s what it looks like in practice.

Adaptive Content Hubs

This lets you organize your assets by vertical or pain point – which 58% and 68% of B2Bs say is important to them, respectively.

Plus, adaptive content hubs are interactive, and 58% of buyers are more likely to engage with your content for at least 20 minutes if it’s interactive.

Self-Nurturing Landing Pages

When someone visits one of your pages, there’s a more than 90% chance they’re not ready to buy right now. Most of them won’t be ready to convert for a long time – they just want to consume your content.

A self-nurturing landing page removes dead ends from landing pages. Instead, leads can research at their own pace with personalized content bingeing.

Personalized Exit-Intent Popups

Exit-intent popups are a potent opportunity to capture interest, but most websites waste them by asking for an email address.

Instead, use exit-intent popups to show visitors content they’re sure to love (based on data) and pull them back. More time spent on your site means more opportunities to nudge them toward converting into a lead.

Human Lead Verification

All content marketing and personalization strategies require high-quality data. Unfortunately, inaccurate information on leads plagues most B2Bs.

Removing forms and employing human lead verification ensure you’re only collecting information from valid and high-quality leads. Machine learning removes problems of missing fields, inaccurate details, and fake leads.

Increase Mobile Conversions and Lead Generations with Machine Learning and AI

Adding an AI engine with machine learning to your lead generation strategy can deliver 51% more lead conversions – almost instantly. Hushly’s AI engine is designed with multiple algorithms to deliver a unique experience for every visitor and improve over time.

Want to learn more about how personalization algorithms work? Read the full blog post.

5 Ways AI Revolutionizes B2B Lead Generation and Nurturing

Run a Google search and you’ll find endless companies that exist for the sole purpose of lead generation.

Some of them sell lists of email addresses and companies. Others claim to have secret formulas worked out to generate leads if you hand over big bucks.

The truth is, you only need a few key tools to earn more leads: relevant content marketing and AI for lead generation.

Why is AI So Important for B2B Lead Generation?

Artificial intelligence creates the experience your leads and prospects expect. In our increasingly digital world, experience matters: 84% of customers say the experience a company provides is just as important as the product or service itself.

It’s no surprise then that 70% of high-performing marketing teams have a fully defined AI strategy. Across the board, AI use has surged from just 28% of marketers using it in 2018 to 84% in 2020.

Salesforce

We’re only in the infancy stages of adopting AI, too. Imagine what marketing will look like in another 10 or 20 years.

For now, try to concentrate your use of AI where it’s needed most. Don’t adopt new martech just for the sake of saying you have it.

1. AI in Lead Generation Reduces the Headache of Scoring

Lead scoring is typically a tedious and drawn-out process. Every marketing analyst has their own set of criteria.

You simply can’t analyze every little detail as you score leads. At some point, information overload takes hold and you’re forced to pick and choose the most important factors like link clicks or email opens.

Artificial intelligence never gets overloaded or tired. It can sort through massive datasets 24/7 without trouble. Plus, AI gets better at its job the longer it goes at it, thanks to machine learning.

AI tools for scoring often pick up on finer details most humans would overlook. As a result, AI-driven lead scoring is far more accurate, and you can use the data to target future leads.

2. It Reduces Your Website Bounce Rate and Increases Engagement

What does your website bounce rate look like?

If you’re like most, probably not too great. Average bounce rates vary widely by industry. However, if you rely on social media for most of your traffic, your bounce rate might be over 50%.

A low bounce rate matters because it shows people are interested in your content, products, and company.

High engagement produces lower bounce rates. The longer someone stays on your website, the more likely they are to convert into a lead and self-nurture.

Most leads won’t give you an email address or contact your sales team until they’re sure you’re a good fit. They want to research on their own.

An AI engine uses your content to create an experience that mimics that of Amazon, Spotify, or Netflix. Several algorithms work on top of each other to study the behavior of every visitor and offer personalized content recommendations.

Plus, the AI system is designed to recommend content assets that guide leads down the sales funnel – before they ever hand over an email address or speak to anyone on your sales team.

Not only will visitors stay on your page longer, but they’ll also self-nurture because they’ll consume more content each session.

3. Artificial Intelligence Lets You Collect Better Information on Leads

Most B2Bs have more data than they could ever sort through in a lifetime. For others, valuable data is stuck in siloes.

Artificial intelligence helps you pool your data from several sources. Plus, it draws better insights from your data so you can learn more about your leads, visitors, and customers.

You can focus less time on generating new leads and more time identifying possible customer churn before it happens. AI in lead generation is nice, but it’s always better to increase a single client’s CLV instead of acquiring a new lead.

4. AI Creates a Hyper-Personalized Experience for B2B Lead Generation

Personalization isn’t a top-of-the-line feature reserved for Fortune 500s anymore. Today’s young B2B buyers expect a hyper-personalized experience everywhere they go online – including your B2B lead generation website.

AI provides several tools for you to generate and nurture leads not with just a segmented or somewhat personalized experience, but also a 100% personalized experience for every visitor.

Here are a few ways you can use AI to improve your lead generation:

  • Adaptive content hubs: This is like a shot of steroids for your blog. Instead of scrolling through a catalog of blogs organized by data, you can organize by any vertical or pain point you choose. Once someone starts browsing, the algorithms take over, studying their behavior and offering personalized suggestions.
  • Self-nurturing landing pages: The average buyer consumes at least 13 pieces of content from a single vendor before making their decision. Self-nurturing landing pages let your visitors binge relevant content until they’re ready to hand over their email address.
  • Exit-intent popups: Instead of asking visitors to submit their email addresses as they try to leave, remind them of why they visited your website in the first place with personalized content suggestions.

Hushly

5. AI Keeps Your Data Clean

Most organizations – 80% – are expected to abandon their personalization strategies by 2025 due to poor ROI. The culprit? Bad data.

In fact, every piece of incorrect data in your system costs $100.

Segmenting prospects, scoring leads, and developing content all require high-quality data. When your intel is incorrect, missing fields, or outdated, it impacts all your marketing objectives.

Artificial intelligence ensures you only collect accurate data from the beginning. When a lead enters your system, AI scans public sources, like LinkedIn, to verify their company, job role, and contact information.

You never have to worry about bad data again.

Implement an AI Engine and Watch Lead Conversions Skyrocket by 51%

Adding an AI engine to your site lets you take advantage of high-level personalization to generate leads, nurture leads, and build customer loyalty.

Tech-driven tools like adaptive content hubs, exit-intent popups, and self-nurturing landing pages organize your incredible content and put it to smart use.

What would you do with an AI engine on your site? See it in action now for inspiration.

How to Do Social Media Marketing for B2B: 9 Strategies

When you hear the phrase “B2B social media marketing,” what comes to mind?

  • Boring
  • Dry
  • Robotic

It doesn’t have to be that way. Many B2B brands use content to create interesting and downright exciting social media strategy.

Take Cisco, for example. Cybersecurity isn’t an inherently boring topic. In fact, Hollywood has no trouble bringing cybersecurity to life with action-packed movies: Swordfish, Hackers, Snowden, and even the entire Bourne series.

Cisco decided to do the same in a way that fits with their brand:

It’s a self-fulfilling prophecy: Tell yourself B2B social media is boring and you’ll create boring content. Here’s how to develop a social media strategy for B2B that earns attention, engagement, and interest.

How to Create a Social Media Marketing Strategy for B2B and Overcome Challenges

Like any type of marketing, social media marketing for B2B takes careful research and consideration. Use technology to study your audience and create content they’ll love.

1. Decide on Your Goals and Metrics

Without clear goals, you’ll never know if your social media strategy is “good” or not.

What do you hope to accomplish from your B2B social media marketing? You don’t have to stick to a single goal, but it is a smart idea to pick two or three main ideas and stick with them, such as:

  • Account-based marketing
  • Building customer loyalty
  • Reaching new audience segments
  • Branding and demand generation
  • Lead generation and nurturing

Next, figure out which metrics you’ll use to track your progress.

Don’t focus on glamor metrics like follows and post likes – those don’t transform into any real result. Instead, track things like comments, shares, clicks, saves, and conversions.

2. Nail Down Your Target Audience

Before you write any post, you should always ask yourself who you’re writing for. What do you want to teach, tell, or show them?

You should already have buyer personas developed for content creation and other marketing strategies. Social media is a useful tool for both reaching and researching those personas.

3. Invest in High-Quality Content Marketing

You can only post so many text-only and image statuses. If you want to educate, inform, and earn trust, you’ll have to publish content to share on social media.

As you research your buyer personas, investigate what type of content they like to consume. On average, B2B buyers consume 13 pieces of content from a single vendor during the sales process.

Samples of eBooks, podcasts, and videos are great for collecting email addresses without gating your content behind forms.

Adding an AI engine to your website can help distribute your content. Similar to Spotify or Amazon, an AI engine uses algorithms to study every visitor’s behavior and make hyper-relevant content recommendations.

4. Create a Posting Schedule

Think like Goldilocks here: Not too often, not too infrequent, but just right. Facebook, for example, tends to suppress reach from people or pages who post several times in a day.

Plan your social media calendar on a weekly and monthly basis. Schedule two posts/day for a month but leave some room for breaking news and trending topics.

Check your analytics to see when your audience is most active on the app too:

Facebook

5. Investigate Your Competitors

It’s important to keep an eye on your competitors’ social media activity. For starters, you can compare what type of content performs well on their page.

However, you also want to differentiate yourself. If you don’t follow your competitors closely, you might end up mirroring their content too much without even realizing it.

Look for ways to add nuance, streaks of humor, and topics that will perform well while setting you apart.

6. Find Your Social Media Voice

This is where the idea of “boring” B2B social media marketing comes from. Social media – even LinkedIn – is designed for human interaction. Not branded broadcasting.

You don’t have to dive into the casual deep end like Wendy’s, but you should at least bring your guard down a little bit. People want conversations. Use terms like “we” and “us” instead of mentioning your brand in the third person and ask lots of questions to get the juices flowing.

7. Amplify Your Message

The concept of organic reach on Facebook is almost a joke these days. However, social media as a whole is still useful for reaching new audiences.

Seek out routes to amplify your message.

Hashtags are important with LinkedIn, Twitter, and Instagram. Look for relevant ones in your industry and create your own branded hashtags as well. Shoot for niche hashtags over general ones.

You might also search for potential influencer connections or employ some active employees at your company as brand ambassadors to spread the word.

8. Include Some ABM Content

LinkedIn and Facebook also make it easy for you to dabble in low-risk account-based marketing by targeting people who work for specific companies.

Create some content for different roles at a company and use the social media ad tools to make sure they see it.

9. Retarget Your Website Visitors

Some retargeting strategies are just plain creepy. When done right, however, subtle retargeting can help you turn prospects into leads, nurture leads into customers, and build customer loyalty.

Facebook Pixel, for example, lets you track visitors by adding a little piece of code to your site. It’s especially useful for tracking performance and brand awareness when people see your posts but don’t interact with them.

Likewise, LinkedIn offers a full suite of retargeting options to nail down niche content based on what a user viewed on your website.

Level-Up Your Content Marketing with the Power of AI

You’re already sharing blogs from your website onto social media platforms. Why not create the best experience possible for your visitors?

Adding artificial intelligence to your content marketing strategy can skyrocket lead generation, lead enrichment, conversions, and overall engagement. An AI engine uses the same kind of algorithms as Amazon or Spotify to create a genuinely unique experience for every visitor – every session.

Find out why artificial intelligence is what you need to create the experience B2B leads expect.

How AI Helps B2B Marketing and 8 Strategies to Use Almost Instantly

Artificial intelligence is everywhere you look online – from Amazon and Etsy to Netflix and Facebook.

Your B2Bs know the technology exists to create hyper-personalized experiences because they use it every time they open an app. They expect a similar experience from your B2B website.

69% of customers expect connected experiences across multiple channels. Remember, your B2B buyers are consumers for the 16 hours they’re not at work every day.

AI isn’t optional anymore – and your competition is already taking full advantage of it. 84% of marketers report using AI in their strategies – a massive jump from just 29% in 2018.

Here’s how AI helps B2B marketing and how you can put it to work for you.

How AI Helps in B2B Marketing and Why It’s Not Optional Anymore

B2B marketers are already using AI across all types of processes to cleanse data, protect privacy, personalize experiences, draw insights from analytics, and much more. Here’s what the latest research from Salesforce says about its pervasiveness and how AI helps in marketing.

Solving Pain Points and Major Issues

Here’s the bottom line: Artificial intelligence is the ultimate solution for solving all your key pain points and challenges.

AI and machine learning are especially useful for engaging customers in real-time. When you add an AI engine to your website, every visitor gets a hyper-personalized experience. The AI engine uses a series of algorithms to study visitor behavior and compare it to the behavior of previous visitors.

Like Netflix or Amazon, the AI engine recommends pieces of content and uses machine learning to improve its recommendations over time.

AI is also useful for ensuring your personalization strategy complies with privacy regulations. Unlike most types of personalization, AI uses anonymous browsing data. There’s no need to have data on a lead to deliver a personalized experience.

Not only that, but AI technology helps you create a united front across multiple channels. All the data you collect (even anonymously) you can use across other platforms to target users such as LinkedIn or PPC.

AI Helps in Marketing by Improving Performance

High-performing marketers have something in common: they use artificial intelligence technology. In fact, high performers are 1.3x more likely to use artificial intelligence than other marketers.

Although 84% of marketers already use AI, almost 50% of marketers of all levels are looking for new ways to incorporate AI into their marketing strategies. AI doesn’t remove the need for human marketers or sales teams – it just makes your job a thousand times easier and more efficient.

AI Helps Marketing by Improving Data Quality

Data quality is a massive problem with B2B marketers. It’s no surprise that 80% of organizations plan to ditch their data-driven personalization strategies by 2025.

Underperformers all have the same issues with data quality too. Indeed, data quality is the driving force in the rift between marketing performance.

Artificial intelligence uses human lead verification to make sure every piece of data that enters your system belongs to a genuine person and isn’t riddled with errors. Plus, AI can keep your data clean in real-time instead of forcing you to go back and cleanse data retroactively.

AI Helps Marketing by Segmenting Data

Artificial intelligence also helps you manage data. Data siloes are a major problem for marketers – especially B2B – and AI can break down the barriers. Instead, you can organize your data in one convenient location and use it to your advantage in real time.

Almost Everyone is Using AI to Help B2B Marketing

With 84% of marketers already using AI, statistics say your competition is already using AI technology for personalization and other tactics.

It’s no surprise that over 90% of marketers have ABM strategies in 2020. AI offers an accessible yet effective solution for small- and medium-sized businesses to implement account-based marketing strategies – something unheard of just ten years ago.

In fact, over 60% of companies running ABM strategies just started their campaigns within the past five years.

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AI Helps in Marketing with Personalized Experiences and Nurturing Leads

When someone visits your website, there’s more than a 98% chance they aren’t ready to buy – and probably won’t be for a long time.

Plus, Gartner research shows the buyer’s journey isn’t linear anymore (if it ever was). Instead, it looks more like a silly string.

You can’t predict the exact path a lead will take during the journey, but you CAN use AI to personalize their experience and nurture them along the way.

Tools like self-nurturing landing pages use machine learning and AI to guide leads down the sales funnel by recommending relevant pieces of content at each stage like case studies or eBooks.

You can spend less time scoring leads to nurture and more time practicing social selling. AI does all the key lead nurturing for you while visitors are on your website – before they ever contact your sales team or leave their email address.

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AI in Digital Marketing Helps You Keep Data Safe and Secure

Privacy is a huge concern among businesses and consumers alike. 81% of marketers say they’re more mindful of how they balance their personalization and data privacy practices.

We already saw a wave of consumer data protection laws with the GDPR. You can expect to see a similar wave with business data in the near future. Artificial intelligence fits into the solution because it anonymizes data. You don’t need many details to personalize.

8 Strategies to Use AI in Digital Marketing Almost Instantly

Most AI engines and programs are easy to use and implement. They’re not at all scary and extremely user-friendly. Some tools and strategies include:

  1. Hyper-personalizing your on-site experience via an adaptive content hub
  2. Lookalike audience modeling for targeting ads on LinkedIn or Facebook
  3. Responsive and helpful chatbots
  4. Automated triggered email marketing campaigns
  5. Improved lead scoring
  6. Sifting through metrics for insights
  7. Self-nurturing leads via landing pages
  8. Human lead verification and real-time data cleansing

You can put tools like Hushly to work almost instantly to hyper-personalize your website experience.

Ready to learn more about how AI helps in marketing? Read this in-depth post on how Hushly’s AI engine works.