How AI Can Improve Your Customer Experience [New Data + Tips]

62% of enterprise leaders throughout industries have invested in AI to assist their workers. Of these, 71% have seen a optimistic ROI, and 72% report elevated worker productiveness.

However how does AI stack up in terms of buyer expertise particularly?

Preserve studying to discover ways to leverage AI-driven buyer experiences — and why you need to.

How AI Impacts the Buyer Expertise

How You Can Leverage AI to Enhance the Buyer Expertise

8 Ideas for Getting Began

Free Report: The State of Artificial Intelligence in 2023

How AI Impacts the Buyer Expertise

Utilizing data-driven insights, we’ll present you the way AI can influence the shopper expertise by way of help, advertising, gross sales, and extra.

We additionally share skilled insights about potential drawbacks so you possibly can implement AI options the fitting method.

Improved Buyer Service

A major benefit of utilizing AI in customer support is the potential to supply 24/7 help. In truth, that is probably the most vital profit, in line with customer support professionals surveyed for The State of AI Report.

The third hottest use case for AI/automation in service is utilizing chatbots and self-service instruments to facilitate this round the clock help. Routing requests to reps is the preferred AI use case cited by customer support professionals.

Additional, 84% of customer support reps say these options make it simpler to answer help tickets. In the meantime, 64% say AI helps make buyer interactions extra personalised.

Data to support AI customer experience and the impact in service from The State of AI Report.

The influence: Chatbots present the help infrastructure to supply 24/7 help, and AI options assist reps reply to queries sooner. Meaning prospects usually expertise shorter wait instances.

To prime it off, they could additionally obtain extra tailor-made responses from service brokers.

Total, this reduces frustration — and thus, friction — throughout the help journey. And that makes for a smoother buyer expertise.

Potential Downside: Danger of Dropping Excessive-Finish Clients

“One of many principal downsides of utilizing AI in customer support is probably shedding high-end prospects on account of a scarcity of ‘adequate’ help,” says Cath Manufacturers, Chief Advertising Officer at Flintfox.

“Whereas individuals immediately are typically okay with, let’s say, speaking to AI chatbots, high-end prospects often anticipate devoted, human-run customer support, they usually get annoyed when met by AI bots.

“I actually assume it is a large draw back to utilizing AI in customer support, and I don’t assume many companies can afford to lose their high-end prospects on account of conditions like these,” warns Cath.

Advertising and Gross sales Journeys

An increasing number of individuals want to analysis services independently on-line. For B2B gross sales reps, meaning they solely have round 5% of a buyer’s time throughout their shopping for journey.

With fewer “face-to-face” interactions, reps ought to take any alternative to affect buyer choices.

It’s additionally vital to present prospects focused, omnichannel help all through their on-line advertising and gross sales journeys. Lengthy story quick? AI options may very well be your best ally right here.

In line with 89% of promoting professionals surveyed, generative AI typically improves the standard of their content material. Then, 84% of bloggers assume that AI/automation helps them to higher align net content material with search intent.

→ Obtain Now: The State of AI in Advertising [Free Report]

On the gross sales entrance, the preferred use case for AI is content material creation, carefully adopted by prospect outreach. Of gross sales professionals, 86% report that utilizing generative AI to craft messages to prospects is efficient.

And 72% say it helps them to construct rapport with prospects sooner.

Data to support AI customer experience and the impact in marketing from The State of AI Report.

The influence: Higher high quality and extra focused content material improves person expertise. It additionally offers individuals the whole lot they should know to analysis your services or products independently.

That creates extra optimistic experiences when prospects interact together with your model throughout advertising channels (i.e., your social media or web site).

Then, efficient outreach messaging might help you affect a prospect’s gross sales journey. That, coupled with fast buyer–firm rapport, might help your gross sales reps make all interactions actually matter.

Potential Downside: Laborious To Discover Related Use Instances

“One setback for AI content material creation is that bots discover it onerous to seek out real-life examples which can be really related,” says Will Rice, search engine marketing & Advertising Supervisor at MeasureMinds.

“All people is aware of that simply explaining the idea of one thing isn’t sufficient. Exhibiting a sensible instance of how this has labored within the actual world helps customers visualize how they will motion the purpose you’re making,” says Will.

For Will, having these actionable real-life examples separates good content material from nice content material. However “AI simply can’t do that nicely. Particularly for comparatively new issues, the place innovation is essential.”

Personalised Experiences

Of customers, 56% usually tend to make one other buy after a personalised buying expertise. And 62% of enterprise leaders report higher buyer retention due to personalization.

However, creating end-to-end personalised buyer experiences doesn’t simply enhance gross sales and retention. It additionally helps smaller manufacturers compete with trade giants.

The crux? Most firms don’t have the foundations to map out the detailed buyer image that makes personalization doable.

Nonetheless, enlisting AI/automation instruments might help you construct personalised experiences at scale and throughout channels.

There are three principal ways in which AI might help your model create extra personalised buyer experiences:

  • Superior buyer segmentation. AI-powered algorithms analyze buyer information and discover distinct segments primarily based on behaviors, preferences, and buy historical past.
  • Actual-time personalization. AI-driven techniques course of real-time information corresponding to searching habits, earlier purchases, and site to supply instant personalization.
  • Predictive buyer insights. AI analytics forecast buyer habits primarily based on historic information and present developments, enabling manufacturers to anticipate wants and preferences.

Potential Downside: Falls Quick With Creativity

“One key disadvantage of utilizing AI in customer support is its incapacity to be artistic,” says Tobias Liebsch, Co-founder at

“AI techniques function primarily based on predefined guidelines and algorithms, missing the pliability to assume exterior the field.”

Though AI excels at following set pointers, it might “battle to deal with complicated or nuanced conditions that demand artistic and spontaneous problem-solving,” Tobias warns.

As a result of buyer points are sometimes distinctive and require progressive considering, AI would possibly lack the creativity for personalised options.

Information Evaluation

AI instruments can collect, analyze, and spot developments in massive volumes of knowledge. Entry to those information insights means you possibly can spot (and have fun!) your successes.

It additionally means you possibly can rapidly establish areas for enchancment — together with the best way to ship higher buyer experiences total.

The State of AI Report findings present that AI/automation helped professionals analyze information throughout completely different departments/jobs.

For instance, gathering and analyzing buyer suggestions is the second hottest use of AI for customer support professionals. Then, information evaluation/reporting is a well-liked use case amongst gross sales professionals.

The influence: Developments from buyer suggestions and gross sales information may give you insights into the best way to enhance buyer experiences. Reminiscent of implementing a recurring suggestion from a buyer survey that improves buying experiences.

Or discovering frequent causes prospects cancel subscriptions so you possibly can enhance your providing and decrease churn.

Data to support AI customer experience and the impact on data analysis from The State of AI Report.

Potential Downside: Fewer Interactions With Clients

Merchynt makes use of AI “for each step of our buyer journey,” says founder and CEO Justin Silverman.

AI has improved buyer satisfaction by way of “a near-instant personalised technique plan primarily based on info we collect throughout their sign-up course of.” However Justin warns the trade-off is fewer human interactions with prospects.

As such, Merchynt is “lacking invaluable alternatives to assemble suggestions on how we are able to proceed to enhance our choices.”

How You Can Leverage AI to Enhance the Buyer Expertise

From account administration to content material creation, listed below are 10 methods your organization can leverage AI to enhance buyer experiences.

How AI Can Help Improve the Customer Experience. Account Management. Field Customer Questions 24/7. Route Tickets to Reps. Content Creation. Remove Language Barriers. Proactive Problem Solving. Personalized Deals and Recommendations. Train Employees. Deliver Relevant Messaging to Customer Segments

Account Administration

Good account administration makes prospects really feel valued, main to higher experiences. Higher buyer experiences enhance buyer retention and make cross-selling and upselling extra possible.

However account administration may be tough. There are lots of plates to spin and other people to maintain completely satisfied — particularly with a broad consumer base. AI options might help gross sales, advertising, and repair professionals full duties sooner.

Meaning they’ve extra time to construct higher buyer–firm relationships.

An AI-powered instrument like ChatSpot responds to chat-based instructions. You possibly can ask it that will help you draft follow-up emails to prospects or thanks notes to present prospects.

The instrument may also generate studies primarily based in your firm’s CRM information and add contacts with notes to HubSpot’s CRM.

AI customer experience, ChatSpot for account management

Get Began With HubSpot’s ChatSpot

Subject Buyer Questions 24/7

Hovia makes use of AI to ship nice experiences to its B2B and B2C segments. The model additionally makes use of the tech to assist them account for product outcomes, together with particular wallpaper mural necessities.

“Our service desk supplier has a first-to-market AI resolution that permits us to reply complicated queries with little or no human enter,” says Jack Gibson, Head of Development.

By means of AI, Hovia can precisely reply buyer queries at scale — making certain the very best outcomes for each audiences. “Whereas we do reply these on our FAQ pages, it’s reassuring to know that we are able to area these questions in real-time,” Jack explains.

Route Tickets to Reps

Routing tickets to reps is a well-liked use case for AI in buyer help. You possibly can depart primary tickets, like questions on your providers and even buyer returns, to chatbots.

(On that latter level, SurveyMonkey discovered that 59% of consumers “would use AI to return a purchase order.”)

But when the chatbot can’t deal with the request, it will probably route the ticket to the right division or rep. AI instruments can also recommend a help ticket if a buyer needs to speak with a human agent.

Prioritize Tickets and Queries

Not solely can AI route tickets to reps, however it will probably additionally prioritize the question primarily based on the extent of urgency. To do that, AI instruments analyze tickets primarily based on sentiment, intent, and language used. Then, reps can deal with probably the most dissatisfied prospects first.

Quicker question prioritization is likely one of the largest professionals of AI in customer support. Speedier prioritization can forestall emotionally charged interactions from escalating and maximize every buyer interplay.

Each of which assist to create higher buyer experiences.

Content material Creation

Generative AI might help you streamline and scale your content material creation efforts. And when paired with human experience, it may give your prospects a extra tailor-made advertising/gross sales journey.

That creates a greater buyer expertise throughout your gross sales, advertising, and help channels.

A generative AI instrument like Content material Assistant makes it simpler to put in writing buyer emails, together with prospecting, advertising, or service ticket responses. It may possibly additionally enable you collect info, generate concepts, and construction weblog content material.

Get began with HubSpot’s Content material Assistant

Take away Language Limitations

The interpretation capabilities of AI instruments might help you take away language limitations with minimal assets. For instance, you should use ChatGPT to translate customer support queries and provides extra tailor-made help.

You may also use AI to translate articles out of your data hub routinely into a number of languages. This may assist your web site guests entry data of their native language.

Ship Related Messaging to Buyer Segments

“AI can analyze buyer information to establish distinct segments primarily based on habits, preferences, and engagement historical past,” says Matthew Smith, Operations Supervisor at Ticket Squeeze.

The crew at Ticket Squeeze makes use of this information to “ship extra related and fascinating messages” to completely different segments.

For instance, they used AI to section electronic mail lists into classes like “Sports activities Fans” and “Live performance Aficionados.” Now, every section receives content material particular to their pursuits.

Matthew cites “greater open and click-through charges,” “deepened buyer engagement,” and “diminished electronic mail fatigue” as advantages of a extra personalised method.

Proactive Downside Fixing

AI analytics might help your model supply proactive options earlier than potential points come up. A proactive resolution may very well be so simple as restocking standard gadgets to offer a seamless shopping for expertise.

You might additionally use AI analytics to establish demand for future merchandise, providers, or enhancements.

Personalised Offers and Suggestions

In line with SurveyMonkey, 47% of consumers are concerned with receiving personalised offers from AI. That quantity rises to 63% throughout the Gen Z demographic.

Offers and proposals are methods to create extra personalised buyer experiences. And as we highlighted earlier, that may enable you compete with main companies in your trade.

AI-driven techniques/algorithms might help you supply personalised product suggestions and reductions earlier than prospects specific their necessities. The outcome? Your prospects will really feel valued.

Plus, you’ll save them time trying to find desired services or products, creating extra pleasurable shopping for experiences.

Prepare Workers

By means of sentiment evaluation and data base integration, AI might help you practice your customer support and gross sales reps.

Sentiment evaluation offers your crew perception into the intent or feelings behind buyer messages. Then, if AI can entry your data base (i.e., weblog content material or firm handbook), it should current related coaching situations to your crew.

Lastly, AI can analyze how your crew performs with each sentiment evaluation and your data base in thoughts.

8 Ideas for Getting Began

We spoke to eight professionals who’re already utilizing AI to enhance the shopper expertise journey. They share their primary ideas for these simply beginning with AI tech.

1. Automate smaller duties first.

“One essential tip for newbies is to start out small,” says Liam Lucas, CEO of Off Street Genius. Liam, who has actively built-in AI into Off Street Genius’ buyer expertise journey, began by automating easy duties.

Liam cites answering often requested questions by way of chatbots for instance of how they began small. That straightforward automation saved the service crew’s time, and the moment responses to prospects additionally improved “their total expertise.”

2. Refine AI content material in iterations.

Chris Evans, an search engine marketing Specialist at E2E Studios, makes use of AI to put in writing emails to non-techy prospects. Chris has been utilizing AI to clarify a product/service in layperson’s phrases and simplify gross sales emails to make them extra user-friendly.

Generative AI content material “is barely pretty much as good as you prime it,” warns Chris. “Out of the field, it is going to be ‘OK.’ However priming it with what you need and need to obtain, and the specified end result produces a lot better outcomes.”

Chris’ primary tip is to refine the content material in iterations. “Begin with a tough draft, ask ChatGPT to enhance it … proofread it, tweak it, and once more ask it to enhance it primarily based in your suggestions.”

3. Begin with primary information evaluation.

CEO and Founding father of Linions, Kate Adams, has been utilizing AI-driven insights to form their advertising methods.

“By using AI analytics instruments, we’ve gained a deep understanding of our prospects’ preferences and behaviors,” says Kate.

Kate recommends that newbies begin with primary information evaluation like monitoring “web site site visitors, social media interactions, and gross sales patterns to establish developments.”

Even beginning small can yield invaluable insights that enable you talk together with your viewers meaningfully.

4. Entrance-load information enter.

Hovia makes use of AI to offer correct info to their prospects, which improves the shopper expertise. To do that, the corporate makes use of AI to area queries about its product providing.

“Organising the instrument has been simple sufficient,” says Head of Development, Jack Gibson.

“We’re in a position to present element on our product providing, materials varieties, manufacturing course of, delivery, designs, and many others., to make sure that the automated output is as correct as doable,” he says.

However if you happen to’re contemplating including an AI resolution to your online business, Jack advises “to just remember to’re feeding as a lot info into the instrument as doable.”

That’s as a result of the extra prompts it has, “the extra related the output might be.” Though it may be barely time-consuming within the quick time period, it creates “a greater expertise for the top person.”

5. Experiment with present instruments.

Pinar Arslan, a Buyer Success Agent at Gameplan, has been utilizing an AI instrument “to find out which prospects to prioritize.”

“We have now discovered that the GPT-4 plugin Superior Information Analytics by OpenAI could be very useful,” says Pinar. The crew makes use of the plugin to establish prospects who’re vulnerable to canceling their subscriptions, which helps with prioritization.

Get Began With HubSpot’s AI Instruments

6. Undertake a customer-centric method.

“AI may be utilized to quite a lot of areas throughout the buyer expertise,” says John Pennypacker, VP of Gross sales and Advertising at Deep Cognition. However, utilizing AI “ought to all the time be finished with an eye fixed towards the shopper.”

John recommends that firms use AI to enrich and improve their model voice relatively than take it over totally.

“It’s necessary to make sure that prospects don’t really feel like they’re coping with an automatic system or getting generic responses,” John warns. As a substitute, “companies ought to attempt to create a singular expertise for every buyer.”

7. Use AI that will help you develop prompts.

“Should you’re struggling to get the outcomes you need, ask the AI to assist write the immediate,” says Eric Mistry, Buyer Training Operations Supervisor at Heap.

Eric recommends that you just “begin by explaining the issue, then ask it to ask you questions to know the issue standards, then produce a immediate.” Except for textual content manufacturing, in line with Eric, this method “is an effective way to supply incredible photos in AI instruments like Dall-E or Midjourney.”

8. Preserve the human contact.

COO and Head of Advertising at CanXida, Azi Azimi, has used AI in buyer expertise processes throughout buyer help, gross sales, and advertising. “All through these processes, we made certain to take care of a human contact,” says Azi.

For instance, whereas AI performs a major position, CanXida all the time supplies alternatives for patrons to attach with actual individuals when wanted. The CanXida groups additionally “personalised AI-generated messages to make them really feel extra human and genuine.”

Azi mentions this “stability between automation and human interplay” as pivotal in making a optimistic buyer expertise.

Leveraging AI for Distinctive Buyer Experiences

From searching to buying and aftercare, AI, when carried out thoughtfully, has the potential to positively influence the complete buyer expertise, from searching to buying and aftercare.

For instance, AI instruments like chatbots might help you present 24/7 buyer help. Meaning individuals can get fast solutions to queries no matter time zones or crew availability, creating frictionless help experiences.

AI tech may also enable you present hyper-tailored advertising/gross sales journeys to new and present prospects. That reduces churn, bolsters your model’s status, and encourages repeat purchases.

You can begin with AI-enhanced buyer experiences by first automating smaller duties, front-loading information enter, or experimenting with present instruments.

However whichever method you’re taking, bear in mind to remain customer-centric and preserve the human contact for the very best outcomes.

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