When Speed And Language Become The Product

We break down how missed calls and English-only phone support quietly drain revenue from small and mid-sized businesses, even when their marketing is working. We map a practical hybrid model where multilingual AI voice agents handle routine calls 24/7 while humans focus on high-empathy, high-stakes conversations. 

• the “locked storefront” analogy for after-hours calls and language barriers 
• missed-call revenue leakage and why voicemail fails modern callers 
• why the fully loaded cost of reception coverage does not scale for SMBs 
• the hybrid front desk model that protects the human customer experience 
• multilingual voice AI basics: fast language detection, code switching, dialect handling 
• sub-second latency and why streaming pipelines reduce awkward pauses 
• CRM and calendar integrations for instant scheduling, lead capture, and follow-ups 
• the confidence gap that blocks adoption and what the data says after rollout 
• intelligent escalation triggers using sentiment analysis and high-stakes topic detection 
• why speed of response becomes part of the product itself 

Your action item today is to contact Ed Becker.

Nonprofits and Businesses plan to automate at least 30% of all processes in 2026.  What is your plan? Who will be leading this effort?

Transcript

The Locked Storefront Problem

SPEAKER_01 0:00

Okay, so let's just imagine for a second that you own a highly successful brick and mortar store.

SPEAKER_00 0:06

Right, the kind you've poured just massive amounts of capital into.

SPEAKER_01 0:09

Exactly. I mean you've got incredibly targeted digital ads, your window displays are flawless, you have this premium product inventory. It's perfect.

SPEAKER_00 0:18

A whole nine yards.

SPEAKER_01 0:19

Yeah. But now, picture a customer walking up to your front door at say five right oh five p.m. They are ready to spend money, but they find the door completely deadbolted.

SPEAKER_00 0:31

Or, you know, they walk in right at noon, ask the front desk a question in Spanish, and your staff just kind of stares at them blankly. Trevor Burrus, Jr.

SPEAKER_01 0:37

Completely unable to help.

SPEAKER_00 0:39

Right. Which is honestly the equivalent of locking your doors, pointing to the business across the street, and literally saying, please go give them your money instead.

SPEAKER_01 0:46

Aaron Powell Which sounds insane, right? But that is the core mission for our deep dive today.

What The Language Gap Means

SPEAKER_01 0:51

We are unpacking what's known as the language gap.

SPEAKER_00 0:53

Aaron Powell And it is happening everywhere.

SPEAKER_01 0:55

It really is. We've got this fascinating stack of sources to pull from today. Everything from recent Vita market surveys and some academic papers on small business tech adoption to these really deep technical architecture breakdowns from Salesforce AI research. Trevor Burrus, Jr.

SPEAKER_00 1:10

Really good stuff in there.

SPEAKER_01 1:11

Yeah, so we're going to explore why assuming your prospects speak fluent English and you know, assuming they only want to interact between 9 a.m. and 5 p.m. is basically the single most underestimated revenue leak for small and mid-sized businesses today.

SPEAKER_00 1:25

Aaron Powell It's massive. What's so fascinating here is that there's this huge disconnect in modern business strategy.

SPEAKER_01 1:32

How so?

SPEAKER_00 1:33

Well, companies will spend absolute fortunes optimizing their SEO, right? Yeah. Perfecting these complex digital marketing funnels, building this super polished social media presence.

SPEAKER_01 1:43

Oh yeah, the digital storefront has to be perfect.

SPEAKER_00 1:45

Exactly. Yet they are completely blind to the fact that their business might be virtually invisible to half its market simply because they can't communicate efficiently over the phone.

SPEAKER_01 1:54

So you optimize everything for that initial click, but you totally drop the ball the second that click actually turns into a phone call.

SPEAKER_00 2:01

Precisely.

Missed Calls Become Lost Revenue

SPEAKER_01 2:02

Let's dig into the true financial bleed here, because the numbers from that recent Vita survey, which by the way, pulled hundreds of small and mid-sized business owners, they're pretty sobering. Very fully 42% of those businesses estimate they are losing over $500 every single month simply due to missed customer calls.

SPEAKER_00 2:23

Wow.

SPEAKER_01 2:24

Right. I mean, we are talking about $6,000 a year at a bare minimum, just evaporating. Trevor Burrus, Jr.

SPEAKER_00 2:29

And honestly, that $6,000 is likely a very, very conservative self-reported estimate. Trevor Burrus, Jr.

SPEAKER_01 2:34

You think it's higher.

SPEAKER_00 2:35

Oh, absolutely. When you look at what those missed calls actually represent, the top applications for AI voice agents right now are inbound sales inquiries. That makes up about 31% of the use cases. Aaron Powell Okay.

SPEAKER_01 2:46

So actual new revenue calling in. Trevor Burrus, Jr.

SPEAKER_00 2:49

Right. And answering frequently asked questions, which sits at 20 percent. These aren't just you know trivial little interactions.

SPEAKER_01 2:54

No, I mean these are high-intent buyers trying to give you money.

SPEAKER_00 2:56

Aaron Powell Exactly. Trevor Burrus, Jr. Or they're existing customers trying to resolve an issue that might literally dictate whether they churn or stay and they just go completely unattended because the human staff is busy on another line or they're at lunch or they're off the clock.

SPEAKER_01 3:09

Aaron Powell And we have to factor in the language barrier too.

SPEAKER_00 3:12

Oh, 100%.

SPEAKER_01 3:12

Aaron Powell Because U.S. Census Bureau data points out that over 67 million U.S. residents speak a language other than English at home.

SPEAKER_00 3:20

Aaron Powell That is a massive demographic to just ignore.

SPEAKER_01 3:23

Trevor Burrus Right. If you are operating under this English-only assumption, you are artificially shrinking your total addressable market right out of the gate. Trevor Burrus, Jr.

SPEAKER_00 3:31

Yeah, you're literally cutting out millions of potential customers.

SPEAKER_01 3:34

Aaron Powell And when anyone, I mean, regardless of what language they speak, calls your business and hits a voicemail system, the outcome is usually negative anyway. Research from Bright Local and Invoca indicates that 62% of callers who reach a voicemail during business adjacent hours won't even leave a message.

SPEAKER_00 3:52

They just hang up. Just hang up. The modern consumer, they just do not have the patience for voicemail anymore. Yeah. I mean, they know the next Google search result is literally a tap away. Trevor Burrus, Jr.

SPEAKER_01 4:02

Yeah. Why leave a message when I can just call the next plumber on the list?

SPEAKER_00 4:05

Aaron Powell Exactly. The moment that call goes unanswered, you are actively funding your competitor's

Why Hiring More Staff Breaks

SPEAKER_00 4:10

growth. Aaron Powell Okay.

SPEAKER_01 4:11

So hearing those numbers, the immediate instinct for, you know, a business owner is probably to just throw human labor at the problem. Aaron Powell Right.

SPEAKER_00 4:19

The traditional fix. Trevor Burrus, Jr. Yeah.

SPEAKER_01 4:20

You think, okay, I'm losing money on missed calls, I'm missing Spanish-speaking clients, I'll just go hire a bilingual receptionist to cover more ground.

SPEAKER_00 4:27

Aaron Powell Makes sense on the surface.

SPEAKER_01 4:29

Aaron Powell Right. But the Ringland AI report breaks down the economics of this traditional fix, and the math shows why this approach is just fundamentally broken for most small businesses.

SPEAKER_00 4:39

Aaron Powell The breakdown in that report is totally eye-opening. For 2026, the fully loaded cost of a single human receptionist, it ranges between $63,500 and $80,000 annually.

SPEAKER_01 4:50

Aaron Ross Powell Right, $80,000 for a receptionist?

SPEAKER_00 4:53

Yeah, because business owners often make the mistake of only looking at the base salary, right? Which might sit around, say, $36,000 to $42,000.

SPEAKER_01 5:01

Okay, that sounds more typical.

SPEAKER_00 5:02

Aaron Powell But they completely fail to account for the 30% benefits overhead. That includes health insurance, dental, vision, 401k matching, payroll taxes. It adds up fast.

SPEAKER_01 5:12

Aaron Powell So recruitment costs, right? Because the data shows it takes roughly forty, seven hundred to seven thousand dollars just to recruit, hire, and train that one person.

SPEAKER_00 5:21

Exactly.

SPEAKER_01 5:22

Yeah.

SPEAKER_00 5:22

And administrative roles, they carry a notorious turnover rate, usually between thirty to forty percent every single year.

SPEAKER_01 5:29

Wow. So you are just constantly on this expensive treadmill of replacing staff who, let's face it, probably burn out from answering the exact same repetitive questions all day long.

SPEAKER_00 5:39

And then even if you manage to keep them, you have to look at what that $80,000 investment actually buys you in terms of time.

SPEAKER_01 5:45

Right.

SPEAKER_00 5:46

A full-time employee works about 2,000 hours a year. Uh huh. But a year has $8,760 hours in it.

SPEAKER_01 5:52

Oh wow. Put like that, it's it's a huge gap.

SPEAKER_00 5:55

Right. By relying solely on a human receptionist, you are only covering your phones for less than 23% of the week.

SPEAKER_01 6:00

That's nothing.

SPEAKER_00 6:01

For the remaining 77% of the time, we're talking evenings, weekends, holidays, early mornings, your business is just unreachable. And if you want them to be bilingual, that usually commands another 10 to 20 percent salary premium.

SPEAKER_01 6:14

Aaron Powell And even then they probably only speak one extra language.

A Hybrid Front Desk That Works

SPEAKER_00 6:17

Exactly.

SPEAKER_01 6:18

Okay, I have to stop you there though. I hear the math, and obviously it's super compelling on a spreadsheet. Sure. But I'm thinking about the actual customer experience here. Right. Because if I am calling a medical clinic because I have a complex health question, or you know, I'm calling a law firm because I'm in trouble. I want human empathy.

SPEAKER_00 6:38

Absolutely.

SPEAKER_01 6:38

I want someone who can read my tone, someone who can build real rapport. How does deploying software to answer the phones not just turn into this cold, frustrating robotic experience?

SPEAKER_00 6:48

And that is the exact friction point most business owners hit. It's a completely valid concern. But the mistake is assuming this is a binary choice, that you either have a completely human-staffed front desk or a totally robotic one.

SPEAKER_01 7:04

Like it has to be all or nothing.

SPEAKER_00 7:05

Right. But the most successful organizations are moving to what the sources call the hybrid model. The objective isn't replacement, it's strategic allocation.

SPEAKER_01 7:14

Okay, so basically letting the AI handle the repetitive noise so the humans can do what humans actually do best.

SPEAKER_00 7:21

Aaron Powell Precisely that. The AI takes over the 75 to 90 percent of those high-volume routine communications.

SPEAKER_01 7:27

Like what?

SPEAKER_00 7:28

It handles the appointment bookings, the basic FAQs, the hours of operation, directional inquiries, and it does all of that 24 hours a day in multiple languages.

SPEAKER_01 7:37

Aaron Powell Right. The stuff that doesn't really require deep human empathy anyway.

SPEAKER_00 7:41

Exactly. By offloading that massive volume of repetitive work, your human receptionist is no longer this stressed-out switchboard operator. They are completely repositioned as a high value specialist.

SPEAKER_01 7:52

Aaron Powell So they actually have the bandwidth to look a patient in the eye when they walk through the front door instead of holding up a finger while juggling three flashing phone lines.

SPEAKER_00 8:01

Yes. They can focus entirely on the complex emotionally sensitive interactions, de-escalating upset clients, doing that VIP relationship building you were talking about.

SPEAKER_01 8:10

That makes a lot of sense.

SPEAKER_00 8:11

The Ringland report actually highlights a real-world medical practice that utilized this exact model. They reduced their front desk staff from two human receptionists down to one, supplemented by an AI agent.

SPEAKER_01 8:24

Okay, and what were the numbers on that?

SPEAKER_00 8:26

They saved between $45,000 and $78,000 a year in fully loaded costs. They entirely eliminated their missed call revenue leakage, and they actually gained 247 multilingual coverage.

SPEAKER_01 8:38

That's incredible. And I imagine the quality of care probably improved too because the human staff was finally unburdened.

SPEAKER_00 8:44

Aaron Powell Exactly. The human touch got better because they actually had time for it.

How Multilingual Voice AI Sounds Human

SPEAKER_01 8:48

Aaron Powell Well, that makes total economic sense. But um for anyone listening who has ever been trapped in a terrible automated phone tree, you know, screaming the word representative at their dashboard while driving.

SPEAKER_00 8:58

We've all been there. Trevor Burrus, Jr.

SPEAKER_01 8:59

Right. There is a very healthy dose of skepticism about how well this actually works in practice. So let's pull from that Salesforce AI research tutorial to understand the mechanics here, because modern multilingual AI operates entirely differently from those chatbots from even just five years ago.

SPEAKER_00 9:16

Oh, it's night and day. We are looking at a completely different technological paradigm now. We are no longer dealing with rigid keyword-based menu systems where you have to say exactly the right word.

SPEAKER_01 9:27

Thank goodness.

SPEAKER_00 9:28

Right. Modern AI language models use rapid detection. They identify the language a caller is speaking in just two to three seconds.

SPEAKER_01 9:36

See, that is what blew my mind in the Salesforce technical breakdown, this concept they call natural code switching.

SPEAKER_00 9:42

Yes, that is a huge leap forward.

SPEAKER_01 9:44

Because in bilingual communities, it is incredibly common to start a sentence in English, throw in a Spanish phrase, and then finish in English.

SPEAKER_00 9:52

Very common.

SPEAKER_01 9:52

And a traditional system just breaks down entirely when that happens. It has no idea what to do. But the new AI doesn't even flinch. It follows along seamlessly, adapting in real time without forcing you to press one for English or two for Spanish.

SPEAKER_00 10:06

And it possesses deep cultural intelligence and regional dialect mastery, too. It goes so far beyond just direct literal translation. Well, the system can distinguish between Mexican Spanish, Argentinian Spanish, or Castilian Spanish. And it actually adjusts its vocabulary, its slang, and its overall tone to match the specific cultural expectations of the person on the other end of the line.

SPEAKER_01 10:30

That's wild. But the technical hurdle with all of this has always been latency, right?

SPEAKER_00 10:36

Latency is the killer.

SPEAKER_01 10:37

Right, because if an AI has to translate, think about it, and then respond, you usually get that awful five-second pause where you think the call just dropped.

SPEAKER_00 10:45

Are you still there?

SPEAKER_01 10:46

Exactly. But the Salesforce paper explains how these new systems achieve sub-second latency, clocking in around 755 milliseconds. They use what is called a cascaded streaming pipeline.

SPEAKER_00 10:58

Right. And to understand why that is so revolutionary, you kind of have to look at the old model.

SPEAKER_01 11:02

Okay, how did it used to work?

SPEAKER_00 11:03

Historically, an AI system had to wait for you to completely finish your thought. It would take that chunk of audio, run a speech-to-text conversion, send the text block to a large language model to formulate a response, wait for the response, and then finally send it to a text-to-speech synthesizer.

SPEAKER_01 11:20

Okay, so it was a very sequential start and stop process.

SPEAKER_00 11:24

Exactly. Very clunky.

SPEAKER_01 11:26

It reminds me of a UN simultaneous interpreter. A brilliant interpreter doesn't wait for the diplomat to finish an entire five-minute speech, translate it in their head, and then recite it all back.

SPEAKER_00 11:38

Right, they'd be there all day.

SPEAKER_01 11:39

They are listening, translating, and speaking concurrently. And from what I understand, the AI uses a sentence buffer to do the exact same thing.

SPEAKER_00 11:48

That's spot on.

SPEAKER_01 11:49

While the caller is still talking, the AI is already processing the first half of the sentence, formulating the logical response, and cueing up the voice synthesizer. As soon as it detects a natural pause or a sentence-ending punctuation mark, it fires that completed thought back instantly.

SPEAKER_00 12:06

All while its brain keeps working on the next incoming sentence.

SPEAKER_01 12:09

It's incredible.

SPEAKER_00 12:10

That concurrent processing is exactly what eliminates the awkward lag. But you know, the most crucial aspect of this technology isn't just that it talks back quickly.

Fast Scheduling With CRM Integrations

SPEAKER_01 12:19

What is it?

SPEAKER_00 12:20

It's that it takes action. It is an active workflow tool. Through API integrations, an AI voice agent can connect directly into your CRM or your calendaring software.

SPEAKER_01 12:30

Oh, so it can actually do the work.

SPEAKER_00 12:32

Exactly. It can look up an available time slot and schedule an appointment in about three to five seconds.

SPEAKER_01 12:37

Wait, three to five seconds.

SPEAKER_00 12:39

Yep.

SPEAKER_01 12:39

Because if you watch a human receptionist do that exact same task, they have to put the caller on hold, toggle between like three different screens, find the calendar, verify the patient details, type it all in manually, confirm it. I mean, that takes 45 to 90 seconds.

SPEAKER_00 12:53

And that's assuming the software doesn't freeze or they don't get distracted. Right. The AI is doing it instantly. It captures the lead, logs the interaction details perfectly in the CRM, and it could even trigger a follow-up marketing email or an SMS confirmation to the caller the literal moment the phone hangs up.

SPEAKER_01 13:10

I mean, I am listening to all of this, and it sounds incredibly powerful. It solves the 77% downtime problem. It handles complex translations, it schedules instantly. So I have to ask the million-dollar question here.

SPEAKER_00 13:22

Go for it.

SPEAKER_01 13:23

Why isn't every local plumber, dental office, and law firm using this technology right this second? What is the actual

The Confidence Gap Holding SMBs Back

SPEAKER_01 13:30

barrier?

SPEAKER_00 13:30

That is the big question. And the academic studies we looked at from the TCU digital repository, combined with that Vita survey data, they point to a massive psychological barrier. Trevor Burrus, Jr. Psychological. Yeah. It essentially comes down to a confidence gap. 61% of small and mid-sized business owners report feeling not at all confident or only somewhat confident in their ability to integrate advanced technologies like AI voice agents.

SPEAKER_01 13:56

Aaron Powell So they are relying on their gut intuition rather than looking at the hard data.

SPEAKER_00 14:00

Aaron Ross Powell Exactly. They tell themselves, you know, my business is unique, my clients demand a human touch, they're going to hate talking to a machine. They just fear the complexity of the setup and they fear alienating their customer base.

SPEAKER_01 14:10

Aaron Powell But the data tells a totally different story.

SPEAKER_00 14:12

Aaron Powell Oh, completely. Because when you look at the cohort of businesses that actually push past that fear and deploy the technology, the results are staggering. 97% of SMBs who integrate AI VROIS agents report a measurable increase in revenue.

SPEAKER_01 14:26

97%. You rarely see a success metric that high in any business software adoption.

SPEAKER_00 14:32

Aaron Powell Almost never. And the real-world outcomes often completely defy our traditional assumptions about customer service.

SPEAKER_01 14:40

Give me an example.

SPEAKER_00 14:41

Well, take the major credit union detailed in the industry reports. They rolled out a multilingual AI to handle inquiries for incredibly complex financial products like mortgages.

SPEAKER_01 14:52

Okay, mortgages. The natural assumption there is that a customer would absolutely demand a human to discuss something as stressful and nuanced as a home loan.

SPEAKER_00 15:02

Right. That's what everyone thought. But the credit union discovered that their customer comprehension scores actually improved when they interacted with the AI.

SPEAKER_01 15:10

Wait, really? The AI explained it better.

SPEAKER_00 15:12

Yes. Because the AI possesses infinite patience.

SPEAKER_01 15:16

Oh, that makes so much sense.

SPEAKER_00 15:17

Right. If you ask a human loan officer to explain an amortization schedule three times in a row, you're going to hear the frustration in their voice.

SPEAKER_01 15:25

They're going to sigh, they're going to talk down to you.

SPEAKER_00 15:27

Exactly. But the AI will repeat a simple explanation from scratch, in the caller's native language, as many times as requested, without ever rushing them or making them feel foolish.

SPEAKER_01 15:39

That is such a good point. And we see a similar revelation in the home services industry, too, right? Plumbers, HVAC technicians, electricians.

SPEAKER_00 15:46

Oh, absolutely.

SPEAKER_01 15:47

Because those businesses thrive on emergency calls. If the homeowner has a pipe burst and there's water flooding their basement at 2.0 A.M., they do not care if they're speaking to an artificial intelligence. Why at all? They care that the phone was answered on the first ring, that they can explain their panic in their native language, and that a technician is actively being dispatched right then.

SPEAKER_00 16:10

Exactly. For you listening to this right now, you really have to think about what this means for your specific market. Yeah. Because if your local competitors are paralyzed by the fear that their clients will hate talking to a robot, they are leaving the door wide open for you. While they are missing calls after 5 p.m., your clients could be happily booking appointments in their native language at 2.8 mm.

SPEAKER_01 16:32

So it's a massive competitive advantage.

SPEAKER_00 16:34

Huge. Speed of response is fundamentally becoming a part of the product itself.

Smart Escalation When Things Get Hard

SPEAKER_00 16:39

In today's market, the quality of your actual service is only half the battle. The other half is how quickly and frictionlessly a customer can access that service.

SPEAKER_01 16:49

Let's circle back to that human safety net though, because I mean technology does fail, and customers do have highly unique, chaotic problems that just aren't going to fit into a clean CRM workflow. Of course. What actually happens when a caller gets genuinely angry or asks something completely outside the AI's training?

SPEAKER_00 17:07

And that scenario is heavily accounted for through what we call intelligent escalation triggers. That's really the backbone of the whole hybrid model.

SPEAKER_01 17:15

How does that work?

SPEAKER_00 17:16

Well, the AI is not just passively transcribing text, it is actively monitoring the emotional state of the conversation.

SPEAKER_01 17:23

Like it can tell how you're feeling.

SPEAKER_00 17:24

Yes. It uses real-time sentiment analysis to detect frustration, anger, or confusion in the caller's tone or even their vocabulary.

SPEAKER_01 17:33

So it basically knows when it's losing the room.

SPEAKER_00 17:35

Exactly. And it also monitors for specific high-stakes topics, perhaps a medical emergency, a complex legal threat, or even just a request to speak to a manager. It can even scan caller IDs for your designated VIP clients.

SPEAKER_01 17:51

Oh, so if your top client calls, they don't even get the AI.

SPEAKER_00 17:54

Right. And the absolute second one of those triggers is activated, the AI seamlessly routes the call directly to a human staff member.

SPEAKER_01 18:02

And does the human just start cold?

SPEAKER_00 18:04

No, that's the best part. It passes along the full context of the conversation up to that point, so the human doesn't have to ask the caller to repeat themselves.

SPEAKER_01 18:11

Hi, I see you're calling about your burst pipe.

SPEAKER_00 18:13

Exactly. It completely mitigates the risk of a bad customer experience.

SPEAKER_01 18:17

It creates a system where the 80% of routine, mundane traffic is handled flawlessly and instantly, and your actual human talent is reserved for the 20% that genuinely requires deep empathy, complex problem solving, and relationship management.

SPEAKER_00 18:30

Every single call is answered. Language is no longer a barrier, and your payroll is being utilized for high-value tasks rather than basic data entry.

Your Next Step And Future Expectations

SPEAKER_01 18:39

Okay, let's pull all these threads together as we wrap up. We started this deep dive by looking at that locked storefront analogy. Right. And the reality is that the language gap and those missed after hours calls, they are massive, silent revenue leaks. They are draining small and mid-sized businesses of thousands of dollars every single month.

SPEAKER_00 19:00

And we've established that relying purely on traditional human staffing is just not economically viable for solving this anymore. The overhead, the turnover, it makes it basically impossible to cover 24 hours a day, seven days a week.

SPEAKER_01 19:12

But a multilingual AI voice agent offers this always-on culturally intelligent solution that allows a small business to actually scale its communication both locally and globally.

SPEAKER_00 19:22

Absolutely.

SPEAKER_01 19:22

So for you listening, the takeaway here is really simple. Do not let this revenue leak continue in your own business. If you are ready to actually fix this, your action item today is to contact Ed Becker. He's an AI, automation, and technology professional.

SPEAKER_00 19:34

He knows his stuff.

SPEAKER_01 19:35

He really does. Ed can walk you through exactly how this technology would integrate into your specific organizational workflow. He can help you navigate the setup, overcome that confidence gap we talked about, and plug these revenue leaks permanently.

SPEAKER_00 19:50

It's definitely worth having that conversation. And as you consider integrating this into your own operations, I just want to leave you with one final broader thought to mull over.

SPEAKER_01 19:58

What's that?

SPEAKER_00 19:59

We have broken down how an AI can now instantly adapt to a customer's specific language, their regional dialect, and their cultural expectations within three seconds of them saying hello.

SPEAKER_01 20:11

Yeah, three seconds.

SPEAKER_00 20:12

If that is the new standard of service, how long until customers expect that exact same level of instant, personalized, and fluent understanding from every single brand they interact with.

SPEAKER_01 20:24

Oh wow. That is a fundamental shift in baseline expectations. It really is.

SPEAKER_00 20:28

The real question is will your business be ready when they do? When they approach your digital storefront, will the door be wide open and will you be speaking their language?

SPEAKER_01 20:37

Such a vital question for anyone looking to grow their business in this landscape. Well, thank you for joining us on this deep dive. We will catch you on the next one.