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August 5, 2024 28 mins
Welcome back to Camp Content! In this episode, join our hosts Molly Ruland and Matt Billman as they converse with Steven Tedjamulia, the CEO and founder of Social Lift. With 25 years of experience in customer-focused strategies and AI tech, Steven's insights on generative AI boosting productivity for B2B tech companies are key. From innovative case studies to actionable AI integration strategies, he shares a vision for job creation in developing nations.

Tune in for this insightful talk on AI-driven marketing and sales strategies!

Connect with Steven: Steven Tedjamulia | LinkedIn 

Website: http://sociallift.com

Episode Timestamps:

00:00 - Intro
01:17 - AI Marketing Innovations from Rexburg
06:27 - Expanded Services Spark Growth
09:32 - Business Transformation through Predictive Analytics
13:38 - Empowering AI Education with US Resources
16:19 - Productivity Boost for Small Business Podcasts
18:30 - Data Analysis Passion
21:21 - Global Marketing and Sales Training Programs
27:04 - Outro

Quote of the Episode: "Empowering experts with tools, training, and AI education to unlock their exceptional abilities." — Steven Tedjamulia

For more insights and to book a call with Molly Ruland, visit Molly’s Calendly.

Host: Molly Ruland, CEO & Founder
Operations Manager: Matt Billman
Powered by: Heartcast Media,http://www.heartcastmedia.com
Mark as Played
Transcript

Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:13):
Ladies and gentlemen, Welcome to this episode of camp Content,
your go to resource for all things content and revenue
in twenty twenty four. Joining us today is Stephen Pegamulia,
CEO and founder of Social Lift, bringing a deep trove
of knowledge with over twenty five years of experience in
customer focused strategies and AI technologies. Stephen is a true

(00:36):
pragmatist in the field, starting his journey in AI at Dell,
leading the AI Predictive Science Group and later establishing Predictive
Science and AI Intelligence Firm, collaborating with major brands on
transformative AI strategies.

Speaker 2 (00:51):
I definitely want to get into that.

Speaker 1 (00:52):
Throughout his career, Steven has taken startups over thirty five
million in revenues and he holds fourteen patents in social
selling also supercreo about that his insights are notable in
the industry thanks to his role as well published author
impacting business communities worldwide at Social List, Stephen architects AI
advanced AI driven growth strategies, optimizing market positions and customer

(01:15):
relationships for his client firms. Today, we're going to talk
about the role of genitor, generative AI plays and building
scalable engines for B to B tech companies.

Speaker 2 (01:26):
We're going to.

Speaker 1 (01:26):
Share successful strategies and case studies from his portfolio and
provide actionable advice on integrating AI into business growth plans. So,
without further ado, let's jump right in. Welcome to the show, Steven.

Speaker 3 (01:38):
Well, thanks for having me here, Mollie. I appreciate being
part of your content podcast.

Speaker 1 (01:44):
Yeah, yeah, no problem, Thanks for coming on. I'm really
curious about your background. That's a lot of years talking
about this type of technology, which a lot of people
feel is a new thing. So I'm sure you have
a lot of insight to bring to the table today.
So can you give me a little snapshot of social lift?
You know, what does the company do? How many employees?
Where you located? You know that kind of thing.

Speaker 3 (02:07):
We are located in Rexburg, Idaho, and we provide marketing
and sales support as a service.

Speaker 4 (02:15):
So what we've done is we've taken the different.

Speaker 3 (02:20):
Roles in marketing and sales, with the different activities they
do around digital marketing, strategy, content marketing, outbound sales. We've
optimized each one of those processes with AI. And we
have resources in the United States that companies can hire.

Speaker 4 (02:37):
So they don't.

Speaker 3 (02:37):
They can delegate those ten dollars an hour tasks to
these superpower marketers and they can focus on high, high
value add skills. So it's a you know on demand.
You need content marketing, you need sales, you need digital marketing,
you need strategy.

Speaker 4 (02:54):
Come to us.

Speaker 3 (02:55):
You pay a simple monthly right thousand starts on thousand,
four hundred dollars and you get access to resources up
to full time that then can help you, and we
train those resources. We have a university, so for each
one of like podcasts, content marketing, training, course, creation podcasting,

(03:17):
we train these resources on these skills and certify them
so then they can work for your company. It's very,
very cool that AI has been able to let us
take a marketer, teach them skills, train them, give them
the power of AI, and then really boost the productivity
to lower the costs for businesses to be able to

(03:39):
engage with US based marketers.

Speaker 2 (03:44):
It's amazing. And how many employees do you have?

Speaker 3 (03:48):
We we have flex of a place right now. We
have about you know, about fifteen people working with us.

Speaker 2 (03:55):
That's amazing.

Speaker 1 (03:56):
And what kind of what sized businesses are you typically
working with them?

Speaker 2 (04:00):
Is a pretty low buy in. It seems pretty.

Speaker 1 (04:04):
You know, accessible for a lot of businesses, So who
is your sweet spot.

Speaker 3 (04:09):
We've worked with large companies and what we've done because
AI has been able to make us a lot more productive.
So we provide CMO services, digital strategy services, dashboarding and
training to larger companies their larger ticket prices for their teams.
But then we also serve with our resources to companies

(04:33):
who are you know, their their their technology shop looking
that doesn't have a marketing department to expand, so we
provide services for them. And also you have you know,
small business companies fifteen million. We really need to amplify
their marketing and sales, but they don't want to hire
people full time, so.

Speaker 4 (04:54):
We have a mix. But what we've tried to do is.

Speaker 3 (04:57):
Really open up the all the medium business market while
still providing high end services of CMO work.

Speaker 1 (05:06):
Can you give me an example of like one of
your favorite case studies or success stories of work you've done.

Speaker 3 (05:13):
Yeah, we've been able to. This was a project with
Oracle where we did account based marketing targeting for a
specific division of THEIRS and in the beginning, you know,
they could only do generic content because they would have
a general message that they would try to send to

(05:34):
each customer and that wasn't scaling. So they worked with
Social Lift and we were able to use AI plus
our marketers to augment their teams so that every content
was personalized. So we increased content production speed by seventy
percent and engagement rates by forty percent because now the

(05:55):
account managers they were targeting their clients instead of some
generic piece of content. It was highly specialized to that
account and it was able to boost that engagement rate
and lower the cost of production because they were able
to have resources and AI letting them do that. So
that's one example of something they could do. Another one

(06:19):
we worked with the training company and they were training
people in the United States and had their content only
in English, but they wanted to grow to several other countries,
so they hired our team. We were able to translate
their content presentations go to market into Spanish and that

(06:40):
increase their market to all of Latin America and speaking continents,
so it gives them opportunity. Those are two examples of
how we are able to do that with content. Also
with ad work, companies don't want to be able to
hire the rest for digital advertising, we were able to
take their and this was from a social from from

(07:04):
a LinkedIn ad perspective. We're able to take all of
their ad content that they were creating and that wasn't
performing really well, and then we were able to analyze it,
optimize it with AI to better target UH and we're
able to increase their accuracy by forty percent to the
right audience and their spend was reduced by thirty percent

(07:26):
with greater results.

Speaker 4 (07:28):
So where they don't have.

Speaker 3 (07:30):
Enough manpower to analyze all of their data, create all
the ad assets, you know, pay attention to the ad campaign.

Speaker 4 (07:39):
Because they have so many tasks on their hands, they
were able to.

Speaker 3 (07:44):
Allow us to provide those resources to do that. Those
are just something that share.

Speaker 1 (07:50):
Yeah, No, those are great. I mean it makes a
lot of sense. It's really hard to be an expert
in all of these things. And then now you've got
to know how to run ads and read the data,
and I would imagine that's very helpful tools. So talk
to me a little bit more about these fourteen patents
in social selling.

Speaker 2 (08:07):
I'm very very curious about that. Can you tell me
a little more.

Speaker 3 (08:11):
Yeah, So, when I was at Dell, I ran our
digital Innovation group, and in that group, Michael Dell had
given us, gave me twenty five million and said go
dominate digital social.

Speaker 4 (08:28):
So we had all this.

Speaker 3 (08:30):
Money and we had to really foresee where the market
was going. At this point in time, social was getting started.
Social commerce was like brand new, So we built a
lot of products we've tested. We had a lot of
big focus groups. We had the really cool advisory board
that included Reid Hoffman from LinkedIn, Cheryl Sandberg, a majorweb

(08:54):
from eBay, CTO there Ron Rose, he was CTO at
Dell and the CTOT price line, and we had like
Jim Bryer and Jim Getz from Sequoia and Excel Venture
Capital funds, so they would like advise us plus Michael
on directions we should take. And during that process, we
pretty much patent bomb every way that you can make money.

Speaker 4 (09:17):
Off social commerce.

Speaker 3 (09:19):
So we experimented, We patented the analytics, the affiliate part,
the sales part, all of those things, and that's kind
of where those patents came from. And that was a
foray into getting into predictive analytics. So I had a
little group under me that was doing that. We funded internal.

(09:42):
It was doing a lot of predictive analytics work and
dashboarding work, and that's where it got started.

Speaker 4 (09:48):
And from there, the.

Speaker 3 (09:50):
Dell decided they didn't really need that department they were
going to shut down, and I said, well, can I
buy it from you? And I bought it from Dell
for one hundred and fifteen thousand and then wanted five
million dollar business And that's where I realized, and that's
what we do at Social Lift. We provide these services,
but then for cmos who really want strategy and for

(10:11):
us to analyze our data, that's where I step in
and we have a team of developers and dashboard creators
that can then help optimize all the analytics and use
AI to then forecast where they need to be how
to improve their content. So that's kind of where you know,
my four A into AI started from that purchase of

(10:33):
the predictive Science group from Dell.

Speaker 4 (10:36):
But then I went on to grow and.

Speaker 3 (10:39):
We sold into the NFL, Carnival, Cruise lines, VMware and
built a pretty good size customer base on the enterprise side,
working with some biggs.

Speaker 2 (10:54):
I can only imagine.

Speaker 1 (10:55):
So, and what year was it that you got the
twenty five million from Dell?

Speaker 4 (11:00):
Oh that was.

Speaker 3 (11:04):
Let me look, I have to look at the exact
You're a good, great question.

Speaker 4 (11:07):
So it's this was in let's see you here. I'm
going through.

Speaker 1 (11:15):
My you know, Steve, And I got to tell you,
if somebody gave me twenty five million, I'll never forget
that day, I might myself.

Speaker 3 (11:25):
Yeah, that's where I'm then twenty ten and now so
I've been on that predictive AI, you know.

Speaker 2 (11:34):
Road for a long time. Yeah, a long time.

Speaker 4 (11:39):
You know.

Speaker 1 (11:39):
I saw an article recently about Walgreens being sued for
using AI facial recognition and wrongly targeting, of course, minorities
and you know, certain people for crime.

Speaker 2 (11:52):
But it was from ten years ago.

Speaker 1 (11:54):
And I just thought to myself, Wow, you know, so many,
so many of us lay people think a lot of
this techechnology is new, but Walgreens was using this in
twenty ten, and it was probably not new technology then either.
So it's kind of we really are quite late to
the party. So having said we are, you aren't. But
having said that, like, what do you think is a

(12:17):
what is the best thing a company could do? Like
if a company wanted to work with you? Right, my
head is kind of spinning from everything that you just said.
If a company wanted to work with you, what like
a small business like my company, like a media company
or a podcast production company, you.

Speaker 2 (12:32):
Know, how could you really.

Speaker 1 (12:35):
Build in and enhance what a smaller business is doing
and what kind of what would that cost a company,
a smaller company to.

Speaker 2 (12:42):
Work with you in this really robust way.

Speaker 3 (12:45):
Yeah, So to get started, our basic package is fourteen
ninety five per month that gives you about forty hours
where we come in and you know, we can assess
you can access a wide service like we have and
from LinkedIn newsletters to sales outreach to email, scripting, creating training,

(13:07):
creating presentations, inviting podcast speakers, creating your podcast video, editing
partner outs to reach, account based marketing, and social media.
So we train our skills, are our individuals and certify
them on all these aspects and you say, look, this
is what I want you to do with these hours,

(13:28):
and then you set the plan and they go out
and execute it. And then we have our next plan
which is twenty hours a week and then full time.
So that's the the benefit is that we provide them,
you know, the tools, the training.

Speaker 4 (13:46):
We also educate them on AI.

Speaker 3 (13:48):
How to use it appropriately so that they can you know,
be superpower experts for you, Molly. And these these resources
are in the United States. We've learned that that that
helps a lot from a being able to execute. Some
of them are offshore, but they are in the background

(14:09):
to help out if we need to, but most of
them are in the United States doing the work. So
in your case, if you wanted to say, hey, I
need more speakers for my podcast, you know, here's someone
that can just go out there and look at speakers,
can post all your content social media for you, off
off offset that create your social account, reach out to
a lot of people to get advertisements, can help you,

(14:34):
you know, if you want to do ad campaigns to
promote the content of your podcast, or build a landing funnel,
a funnel to convert people. Those are several several things
they can do and can do very effectively for you,
and we train them and certify them on those areas.

Speaker 1 (14:54):
You know, who are you doing any work with, like
life coaches or business coaches. I expec well life coaches
and people in that space because I feel like they
are really lacking all of those tools and resources and
would probably find you wildly helpful in their businesses.

Speaker 3 (15:11):
Yeah, we've done some with life coaches, technology like companies.
You know where the CTO, there are CTOs, e commerce companies,
so all those companies we provide them the same benefit
we've given like the NFL and Verizon. Now we're taking
skill sets to you know, the business so they can

(15:33):
execute that works for them.

Speaker 1 (15:36):
I mean, I think it's really amazing, right because when
you're talking about technology and automations and you know you can,
you know, do the same thing for these bigger companies
that you're doing for the smaller companies and vice versa.
So I really appreciate that you've made it an affordable
price point because for a lot of people, these skills
are out of reach and would take a long time
to get them in house.

Speaker 2 (15:56):
And so you know who would who wouldn't want to
hire you?

Speaker 1 (15:59):
With your reds and all the time and experience you've
been doing this, it seems like a no brainer to me.
So let's uh, let me ask you one more question,
a future question. What is the number one tool or
the number one automation that a small business could do
that they would see some results on right away.

Speaker 3 (16:19):
I would say a small business learning to use gener
AI like chat GBT wisely across their different aspects will
create a humongous impact. We worked with one company who
they were doing podcasts and they were doing one a
month and it would take them a long time to
get that done and to reach out to attendees, and

(16:41):
we were able to triple their podcast production capabilities. So
all of a sudden, they were doing three four and
double the number of attendees because they were using generator
I in the right way and engaging with us. So
so it just if you learn how to generate, I
have a whole class that I train enterprises on on

(17:03):
how to use it effectively, provide the scripts.

Speaker 4 (17:06):
It goes through all the content creation.

Speaker 3 (17:09):
Sales processes, and it just helps sales and marketing come together.
With General AI, that helps a lot. But I think
that would be the number one tool now. And then
we're doing a lot around AI dashboarding because what we
see is as soon as you start using general AI,
you start collecting a lot of data, and it's really

(17:30):
hard to It takes time to analyze all of your
data from your website data to your LinkedIn data, to
your podcasting data, and then triangulate all of that agness right,
Like you're like, I don't have time, so you just
keep moving and you try, and then how do you
get the right How do you make decisions on the data.

(17:51):
That's just really hard for one mind to do. But
when you have general AI, it can do so much
more for you. So we're really trying to all that
data together in a dashboard that you can see every morning,
and then generally I can like tell you, oh, this
is what you need to do today, right to double
your output and accelerate your revenue. We're far from automating that,

(18:13):
but we've been working with companies to get that done.
And I think that that's the day we're in the morning,
stand up, you review and say, okay, this is what
I did yesterday. What can I do better today? Okay,
let's adjust and you have real time adjustments based.

Speaker 4 (18:28):
On plays every day.

Speaker 2 (18:31):
I love that. I'm a big I love data.

Speaker 1 (18:33):
I love looking at all the analytics and the numbers
because you know, it's very informative, and I like being
able to see the direct correlation between like oh, we
put out a podcast episode and then the web traffic increase,
and then we got to discover it, you know, to
be able to kind of put all those things together.
I mean even in the podcast space, it's very difficult
because there's there's like I think maybe there's a.

Speaker 2 (18:56):
Couple like Chartable, but I don't even think they're doing it.

Speaker 1 (18:59):
I don't think anybody has figured out how to like
merge all the data like how many plays did it
get on YouTube?

Speaker 2 (19:05):
And how many you.

Speaker 1 (19:06):
Know streams did it get on Spotify versus how many
downloads did it get on Apple? You know, like there's
so many different numbers in there, and so when you're
trying to figure out, you know, tell a client with
their podcast is doing, it's almost impossible to get real
numbers because of that huge spread and all of the information.

(19:29):
So I would imagine that that dashboarding will really do well.

Speaker 3 (19:35):
Yeah, and we've done We've done a lot of merger
of data for big companies. But what I think is
different because when you merge all the data, you just
have a whole bunch of data that is like, Okay,
I got it all in front of me, what do
I do? And then you hire all these people to
go evaluate it well generate. I the cool thing is
you feed it all to like CHATGBT and then it

(19:55):
goes out and with the right scripts, it tells you
what you should do, and it gives you backing and
information and even writes content for you that you need
to produce next. I mean, that's which is like that
to me is a miracle that we didn't have, you know,
ten years ago.

Speaker 1 (20:14):
Yeah, I mean, it's really fascinating stuff. I love the
efficiency of it for sure. It's really smart and really helpful. Okay,
I've got a wild card question for you. If you
could deploy an AI solution to solve any global challenge
outside of the business world, what would it be.

Speaker 4 (20:34):
Yeah, that is one of my missions.

Speaker 3 (20:36):
That's why I started Social Lift is you know, there's
a lot of countries that don't and people in those
countries that don't have access to jobs and like good jobs,
and they're struggling. So we're using AI to create training
courses and certifications to certify them and make them more

(20:59):
effective and you know, giving I know, giving you know,
one hundred thousand people. That's our goal. One hundred thousand
people better jobs in third world countries through that would
be It's a mission I have set to do.

Speaker 1 (21:16):
That's amazing. How are you what's the plan how are
you going to get that done?

Speaker 3 (21:21):
So we're creating certifications and training for all So we've
identified all the marketing processes that are used in sales processes.
We're creating training and certification that they can take, and
then we're building out Social Lift where companies can come
in and hire us. And we're starting the United States
a little by little. We're incorporating that, you know, these
other trained people in third world countries that then can

(21:44):
do this work as well and become effective with generative AI.
So that is our goal is to really if they
want a career in marketing or sales to help companies
around the world, they can work with us, get certified
and use genera of AI to you know, be equally
skilled as someone here in the US, and then that

(22:07):
up levels the game for them in their country and
it lowers the cost for people around the world from
a business perspective. So that's kind of a mission we have.
Core to what we do at Social Lift is being
able to help the world become better, especially with these
people that you know, they're struggling in third world countries.

Speaker 4 (22:25):
I think the.

Speaker 3 (22:26):
Stat is like one week of food that we buy
in the Western world feeds the rest of the world
for for a month or something.

Speaker 1 (22:37):
So I mean, yeah, it's a I mean I can
appreciate that living in Costa Rica, there are like a
lot of call center jobs popping up, you know, but
the reality is is, like Tico's, the Costa Ricans here
are like under educated just because of the way the
school system is, and there's no entrepreneurial like hey, you

(22:59):
could just own the company, you could start your own thing.
It just doesn't really exist here. It's not really taught
or encouraged. And so you know, these people are taking
these like call center jobs and they're just dealing with
people being angry at them all day. And sure they're
making a little bit of money and going home with it,
but like they're not learning anything. You know, they're just
learning how entitled and mean Americans are is really what

(23:22):
they're learning. But that's not a skill set that's going
to help them. And so I love this idea of like,
you know, if they can the AI can be a teacher, right,
like they can see how it's being done and they
can start to learn and start to put those you know,
connect those dots and then start to come out of
this with a lot more skills than just answering an
angry phone call. And I think, I think, you know,

(23:46):
people deserve that. People deserve that opportunity to learn that
and to understand it and provide a better future for themselves.
So I think that's great that you're doing that. I
really do.

Speaker 3 (23:56):
Yeah, So that's just one of the ways the world
can benefit. So I I enjoyed that question that you asked.

Speaker 2 (24:03):
Awesome, Well, I'm glad that I asked it.

Speaker 1 (24:04):
All right, So we have one more segment, and this
is where where it gets really fun to hang on
to your hat.

Speaker 2 (24:11):
But this is our realer fake round.

Speaker 1 (24:13):
So I'm gonna list off some podcast names and then
you are gonna guess.

Speaker 2 (24:17):
Whether or not they are real or fake. Are you ready?

Speaker 4 (24:21):
Okay?

Speaker 2 (24:22):
All right? Number one, Unbelievable Futures.

Speaker 4 (24:28):
Unbelievable Futures. Probably real.

Speaker 2 (24:32):
It is real, all right.

Speaker 3 (24:35):
It's really hard to do because there's so many podcasts nowadays.

Speaker 4 (24:38):
I bet someone's taken.

Speaker 2 (24:40):
The name exact.

Speaker 1 (24:41):
There's a lot of ridiculously named podcasts too, all right.
Next one is Next Gen Business AI in Action.

Speaker 3 (24:52):
Oh that's a pretty long name. I'd say it's fake.

Speaker 2 (24:58):
Man, you're killing me, David. Every body always gets these wrong.

Speaker 1 (25:01):
We gotta, hey, Brian, will you put you gotta put
Steven on the screen because I have no poker faith.

Speaker 2 (25:06):
All right, the next one is Quantum Leap Living.

Speaker 3 (25:13):
Quantum Leap Living. That's pretty short, real, all.

Speaker 1 (25:21):
Right, Steven, that we're ending this show, you've gotten them
all right, they're taking all the fun out of this.

Speaker 2 (25:25):
You're supposed to get them wrong, but you're right.

Speaker 4 (25:28):
If you're talking to.

Speaker 3 (25:29):
The brand marketer who's looking at Okay, that could be
a name.

Speaker 4 (25:33):
I guess it's short.

Speaker 2 (25:35):
It's too long.

Speaker 1 (25:37):
I should have shortened the fake ones then I would
have had you. Well listen, Stephen, thank you for coming
on the show today. I really appreciate you taking time.
I am. I'm super impressed with everything you've done. I
definitely want to continue the conversation with you. I've got
some ideas that have been spinning around my head and
you might just might be the perfect person to talk
to you about that. But before we go, can you

(25:58):
tell people where they can find you and the best
way to connect. We'll have all your links in the
show notes, of course, but if you want to tell
them where they can find you, that would be fantastic.

Speaker 3 (26:07):
Yeah, just go to a social lift dot com and
you can schedule an appointment with me. Just scroll down
to the bottom of the page and there's my Calendi
link and you can reach out to me, and there's
also my phone number and email posted there.

Speaker 2 (26:21):
So social lift dot com amazing. So I'm sure if
anybody's been listening, they.

Speaker 1 (26:29):
Are also intrigued by your services and your price points
all very reasonable. So thank you for taking time to
come on the show today, Steve and I really appreciate it,
and thank you for tuning in today.

Speaker 2 (26:40):
The con to the.

Speaker 1 (26:41):
Podcast Camp Content, a lot of people have been asking
about the animated cartoons, and it's because it's summer camp
and these.

Speaker 2 (26:49):
Are honorary camp counselors.

Speaker 1 (26:51):
So on that note, I hope you guys are having
a fantastic summer and we will catch you on the
next one. All right, all right, thank you so much
for tuning in to another episode of Camp Content.

Speaker 2 (27:08):
This is Molly and this is Matt and we.

Speaker 1 (27:10):
Are Heartcast Media aka camp Content, and we appreciate all
of your support. If you found this content valuable, please
comment on social media LinkedIn wherever you find us, and
we will make sure to comment back.

Speaker 3 (27:21):
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