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:


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.

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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.


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:


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.


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.


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.


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.


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.


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:


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.

How to Engage Wary B2B Customers Through Content and Connection

Your B2B buyers don’t rely on sales teams for research anymore.

Years ago, sales teams had the information buyers needed to make informed decisions. The buyer’s journey was at least somewhat linear and followed a clear path.

Today’s buyers are empowered with endless knowledge at their disposal. Here’s what they’re journey looks like, according to Gartner:


Despite this, many B2B sales and marketing teams are stuck in the past. They focus on lead generation, passing those leads off to sales, and enlisting sales teams to hound them until they convert.

That strategy only drives leads away.

Instead, you need to understand that most of your prospects and leads are NOT ready to buy – and might not be for quite a long time.

Use your knowledge and skills and put it to work helping your leads and prospects. The tactics below can help you engage B2B customers without resorting to outdated salesy strategies.

How to Engage Your B2B Customers at Every Stage: 5 Tips

What’s the key to learning how to engage B2B customers? Research and technology.

Those tools help you create winning content and deliver the right asset to every prospect or lead at the perfect time.

1. Develop Unique Buyer Personas

Buyer personas are your roadmaps for engaging B2B customers. When executed right, your buyer personas should tell you everything from:

  • What job role they’re in
  • Who they report to
  • Role in the buying process
  • Where they hang out online
  • Which blogs they read
  • Their major pain points

It’s smart to take an account-based marketing approach when you develop your buyer personas. Start with firmographic data like:

  • Company name
  • Company size and market share
  • Location and region

Even if you don’t plan to launch a specific account-based strategy for every persona (although with the tech available, there’s no reason you can’t), these details will give you a better picture of your target audience.

Using information from your buyer personas, you’ll be able to create the most relevant and useful content possible for your audience segments.

2. Create Multiple Types of Content

This should play into your buyer persona development, but it really deserved its own section for our purposes here.

Content is vital with the average B2B customer consuming 13 different pieces of content before making a decision – eight of which come from the specific vendor’s website.

Each segment of your audience wants to consume distinct types of content. Which type should you create? It depends. Blogs and videos are safe bets. However, you also have infographics, eBooks, podcasts, whitepapers, case studies, and more.

  • 67% want content on functionality.
  • 65% want product comparisons.
  • 60% want success stories and case studies.
  • 54% need content that proves value to stakeholders.
  • 49% want tutorials.
  • 48% want how-to blogs.

This is another reason it’s so important to engage with people in your target firmographics on social media. Look at what type of content they share and from what places.

3. Use AI to Personalize Your B2B Customer Experience for Each Visitor

Creating content is only half the battle. You still must figure out how to get it in front of the right people at the perfect time.

Artificial intelligence removes that problem to create the ideal website experience. AI has skyrocketed in use by 186% since 2018. Long a mainstay in giants like Amazon and Facebook, AI engines are now accessible to businesses at all levels.

By implementing an AI engine on your website, you can deliver a personalized content experience for every visitor – whether known or anonymous.

Hushly’s AI engine, for example, layers multiple algorithms that carefully study behavior and adjust via machine learning to improve over time. Just like Amazon or Pinterest, the longer you run Hushly’s AI engine on your site, the better it gets at recommending content.

4. Swap Your Perspective to Human-to-Human

At the end of the day, remember you’re marketing to human beings. Yes, they’re part of a team but there’s always a single person on the other end of the screen.

Everyone is spending more time than ever online. With so many people working from home these days, work-life is becoming a blur.

Make sure to keep your messaging and conversations relatable. People still crave human connection and that need isn’t going anywhere.

5. Focus on Nurturing

Lead nurturing is critical. The average B2B conversion rate for a PPC campaign is about 2%. In other words, 98% of people who visit your site are not ready to buy.

That’s not a dire situation – it’s an opportunity. Lead nurturing takes many forms and should involve an omnichannel presence.

  • Self-nurturing landing pages: Most landing pages serve a single purpose with one CTA and then abruptly end the conversation. With most people not ready to buy, this isn’t the best strategy. Instead, use self-nurturing landing pages with machine learning to offer personalized content recommendations that gently nudge visitors down the funnel with relevant case studies or eBooks.
  • Email marketing campaigns: With so much technology available, there’s really no reason not to personalize your email marketing campaigns. Triggered campaigns (sent out when a subscriber completes an action like clicking a link) are easy to set up and deliver 46% open rates on average.
  • Social selling: Most B2Bs could stand to do a little less broadcasting and be a little more conversational on social media. Follow your leads and prospects on LinkedIn and Twitter to share valuable links, tips, and content. Don’t even think about converting them into customers. Just focus on helping and talking.

AI Isn’t Optional Anymore

Roughly half of all B2B marketers plan to increase their use of AI technology over the next year, with a whopping 84% already using it in some fashion.

Adding an AI engine to your site delivers the hyper-personalized content experience your visitors expect. Plus, the longer visitors stay on your site, the more content they’ll consume – leading to more qualified leads and better analytics.

Hushly’s AI engine is easy to implement and low risk. See it in action now!

10 Ways to Optimize Your B2B Content Marketing Strategy

When you think of the B2B buying process, what do you imagine?

Certainly not someone responding to your cold email to set up a call and get the ball rolling, right?

Gartner’s research shows us that the B2B buying process is far from linear. In fact, it looks more like a tangled web of string lights:


If you think this is confusing for you, just imagine how your buyers feel. It’s no wonder 77% of buyers said their latest purchase journey was “complex” or “difficult.”

Your B2B content marketing should take every stride to make your buyers’ lives just a little easier.

10 Strategies to Optimize Your B2B Content Marketing Strategy in 2020

89% of buyers expect brands to anticipate their needs and make adjustments accordingly. Your content should provide visitors with all the information they need to learn about your industry and company. It should also anticipate their emerging problems and provide nuanced answers as they arise.

1. Create Account-Specific Content

The average B2B company devotes 16% of its marketing budget to account-based marketing strategies. Almost all organizations have some kind of ABM strategy at this point: 89%.

You can thank the rise in AI accessibility for that. Automation makes it easy to identify your key accounts, build relationships with customers, and identify new potential companies for outreach.

Consider creating unique blogs, eBooks, and videos for specific accounts based on your research.

2. Research the Needs and Problems of Your Audience Deeply

B2B content writing research is an ongoing process. Buyer needs are dynamic and the buying process isn’t linear.

You can’t pinpoint everything but you can do your best to research via Twitter, market research postings, press releases, Reddit, industry blogs, and other relevant channels.

3. Add Interactive Elements to Your B2B Content Marketing Strategy

Interactive content is vital for engagement and lead nurturing. It’s a common misunderstanding that attention spans are shorter – that’s not true. People have no problem bingeing videos and blogs when they’re relevant.

It’s no surprise that 58% of buyers say they would binge your B2B content for up to 20 minutes if it’s presented in an interactive format. Ideally, 68% would like to see it organized better, such as by pain point. Over half would also like to see your content organized by vertical or industry.

AI and machine learning meet this need perfectly. Visitors can choose how to organize their content and AI will provide personalized recommendations:


4. Personalize Every Session to Maximize Visibility of Your B2B Content Writing

Of the 84% of marketers using AI, most of them are leaning on the technology for creating personalized experiences on individual channels.


Features like an adaptive content hub use machine learning to study on-site behavior and provide every visitor with personalized content recommendations – whether they’re a known lead or anonymous visitor.

5. Develop More Content for Customers Specifically

Most B2Bs could benefit from improving their customer experience to build loyalty and prevent churn. Part of your ABM strategy should involve B2B content marketing specifically for your current accounts.

Business resource centers are especially valuable tools for organizing your customer-centric content such as tutorials, troubleshooting, FAQs, use cases, explainer videos, and more.

6. Promote Your Content Across the Relevant Channels

You can’t be everywhere at once. Instead, focus your resources on specific channels where you know leads will see your content.

Insights from AI-driven technology can also help you track your visitors where they go online so you can identify patterns in blogs or forums for sharing your B2B content writing.

Meanwhile, use LinkedIn retargeting to personalize your sponsored posts based on the content someone viewed while on your website.

7. Create a Social Selling Strategy to Leverage Your B2B Content Writing

As you develop your B2B content marketing strategy, include tactics for social selling in your calendar.

  • Choose specific LinkedIn or Facebook groups for sharing.
  • Brainstorm questions you could ask in captions of your posts.
  • Think of people you might tag in your post to spark conversations.
  • Consider industry influencers for sharing.
  • Look for relevant subreddits or forums for posting.

8. Craft the Right Types of Content for Your Audience

The average organization spends over $185,000 per year on B2B content marketing. While B2Bs with the most successful strategies tend to spend more, you can stretch your budget by optimizing the types of content you create.

For example, C-level employees tend to prefer video content. Meanwhile, end-users may want detailed tutorials and blogs. The key is to study your specific audience and create the right types of content for each segment, account, role, or firmographic.

9. Give Leads Plenty of Channels to Stay in Touch

Your leads might only spend 17% of the buying journey connecting with sales teams but that doesn’t mean they don’t want to connect in other ways.

Chatbots provide a low-profile alternative for leads to ask questions about your product or company. Likewise, make sure to provide a texting option for buyers to connect more casually along with a non-sales email address where they won’t feel pressured to buy.

10. Set Your B2B Content Marketing Free from Forms

An estimated 70% of B2B searches happen on mobile devices so creating a mobile-friendly website is key. Gated content behind lead magnet forms is just about as unfriendly as it gets on mobile devices.

Plus, gated content pushes away valuable leads. Instead, remove the forms and let your visitors consume your B2B content marketing at their own pace. They’ll consume more pieces of content each session, stay on your website longer, and you’ll only collect email addresses from genuine leads – not folks who only want your research.

Create a Hyper-Personalized Web Experience for Everyone

Hushly’s AI engine makes it easy for businesses of all sizes to reap the benefits of hyper-personalization. Using features like adaptive content hubs, personalized exit-intent popups, and self-nurturing landing pages, you can make sure every visitor gets the most relevant piece of content in front of their face when they visit your site.

Learn how Hushly’s innovative AI engine provides an interactive experience to guide leads down the sales funnel while you sleep.

How to Find New B2B Customers with Smart Account-Based Marketing

Everyone’s needs, habits, and expectations have dramatically shifted over the past few months.

Your B2B marketing strategy should look different too.

It’s important to stay dynamic and focus on audience needs if you want to earn their trust and gain authority.

Plus, companies with account-based marketing strategies aren’t outliers anymore. In fact, ABM is the norm.

The latest research shows 92% of B2Bs have an ABM strategy in place – most of which launched their ABM within the last five years.


Technology – specifically automation, AI, and machine learning – have made ABM accessible and affordable to businesses of all sizes. It’s not just for Microsoft and IBM anymore.

Use the strategies below to re-evaluate how to find new B2B customers with real connections and ABM in 2020.

9 Ways to Find New B2B Customers and Build Loyalty with Smart ABM

88% of B2Bs with the most successful content marketing focus on the needs of their audiences. As for the least successful, only half create content centered around audience needs.

Use the strategies below and plenty of research to find new B2B customers and build long-term loyalty.

1. Develop Effective Content for Key Accounts

Effective content is the secret behind how to win B2B clients. While most consider content marketing a staple in the early stages for awareness, it’s actually vital at every stage of the funnel.

Blogs and eBooks come in handy for building visibility, leads, and traffic. However, those further along in the sales funnel will appreciate relevant case studies and videos.

Make sure you develop a content strategy for specific accounts so it’s super relevant.

2. Focus on Being a Helper

Research is paramount here. Follow individuals and influencers from target accounts on LinkedIn, Twitter, and Facebook. Search for subreddits where folks share similar content as them. Look for the blog domains they share. Study market reports from their company, competitors, and industry.

This in-depth research will help you identify their major pain points and develop content to solve their problems – a truly proactive approach to content marketing.

Free trials, forwarding helpful blogs via LinkedIn, and useful tips are all welcoming and help build relationships.

3. Integrate Interactive Content into Your Website

It’s a myth that attention spans have shortened in the age of information. When was the last time you binged content? Chances are, you have no trouble bingeing content you find interesting – like Arrested Development, Stranger Things, or The Wire.

Well, B2B buyers want to binge your content, too. A survey found 58% of B2Bs are willing to consume content for up to 20 minutes when it’s interactive. Another 68% said they’d like you to organize your content by pain point or issue.

An adaptive content hub meets both requirements: Machine learning delivers personalized content recommendations in an interactive format. Plus, you can organize content by vertical, industry, or pain point as it fits with your audience.


4. Create a Unique Email Series for Each Account

Email marketing tools make it easy to personalize your campaigns for different accounts. It’s absolutely worthwhile to set up a unique email onboarding series for each company.

Cover your bases with a:

  • Welcome email
  • Campaign about your company mission, values, and industry
  • Content about pain points you solve and use cases
  • Testimonials and case studies
  • Curated blog posts and content

Use a subscriber’s activity from your first few emails to place them into different segments based on their job role or pain point at the company.

5. Tap Your Network and Build New Connections

Groups on Facebook and LinkedIn (and lists for Twitter) are important for finding new B2B customers but not in the way most marketers use them.

Do plenty of research before you decide to form a group so it’s not too generic. Aim to solve a specific pain point you’ve noticed key accounts face. Check other related groups – join them and engage with users there to see how you can create something different.

6. Build the Right Martech Stack for Your Company

Martech is vital for achieving your goals. Unfortunately, most B2B marketers are running bloated (and costly) martech stacks that don’t do much to help them reach their goals.

You can optimize your web experience with just a few key pieces of technology in the right places:

  • A website chatbot
  • A comprehensive email service provider
  • An on-site AI engine for recommendations and analytics

Artificial intelligence isn’t the place to cut corners. Not only does it create a hyper-personalized for your audience, but it also helps you nurture leads and draw insights.

7. Show Up in the Right Places

Simply put: Go where they are. Find a way to make yourself a valuable part of their online circle via groups, guest blogging, Medium, and frequently searched keywords.

B2Bs need familiarity to build trust so getting your conversations and content in front of their face is important.

8. Create a Specific Website for Customers

Not only does a customer website prevent churn, but it also offers a valuable asset to leads. Customer service centers or business resource centers contain items like:

  • Tutorials
  • Use cases
  • Videos
  • Troubleshooting questions
  • FAQs
  • Helpful blogs

Your customer website should be interactive with plenty of search features and AI to make it easy to use.

9. Don’t Underestimate Real-World Connections

As everyone spends more time online during the age of social distancing, real-world connections have become even more valuable.

No, large events are still out of the question. However, it can’t hurt to send some kind of personalized basket or gift to your key accounts.

How to Find New B2B Customers: Hyper-Personalize Your Website Today

A personalized website is vital for helping your leads find the most relevant content every time they visit. Artificial intelligence is vital for creating the hyper-personalized website experience your visitors expect – just like Amazon or Netflix.

See Hushly’s AI engine in action now and find out how easy it is to add machine learning to your B2B website.