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Self-Driving Automations — 15X Incremental ROAS | Mike Manheimer Interview

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Self-Driving Automations — 15X Incremental ROAS | Mike Manheimer Interview

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727 segments

0:00

Coming inside of this show is uh the one

0:03

and only Mike Mannheimr, a doer of

0:07

things upon the interwebs, scaler of

0:10

revenue for merchants everywhere. I I do

0:14

have to say last time we had the one and

0:16

only Alex Beller, newly minted CEO over

0:19

at Postcript. Uh he talked a lot about

0:22

this concept of a segment of one. A

0:26

segment of one. Wouldn't you like that

0:29

inside of your retention ecosystem being

0:32

to build out being able to build out and

0:35

uh capitalize on truly unique messaging

0:38

for all of your customers who are unique

0:41

themselves? I think you would. I think

0:43

you would. And uh perhaps now possible

0:46

with shopper automation. So we must

0:49

bring the man himself inside the show.

0:50

Everybody welcome Mike Mannheimr.

0:53

Get in here. MIKE, GET INSIDE THE SHOW.

0:57

WHAT'S UP, BOYS?

0:58

>> Swaggy hat. Look at that.

0:59

>> What's up, boys? Oh, yeah. I got my my

1:01

cart my cart blanch going on here, you

1:03

know.

1:03

>> Oh my gosh. Points. Points.

1:06

>> All of this swag.

1:08

>> We got to update that ad read. That kind

1:10

of made it sound like we're an SMS

1:11

company at, you know,

1:15

>> you know, I [laughter]

1:16

uh there was some there was some news.

1:18

There was some news. Mike, we we

1:22

>> will get to that. We will get to that. I

1:25

don't want to miss an opportunity to

1:27

talk about something like you just

1:28

mentioned that we're super super super

1:30

excited about which is the launch of

1:32

shopper automations and you know

1:34

delivering this like onetoone marketing

1:37

journey that like everyone who's

1:39

listening this who's been a marketer

1:40

I've been a marketer my entire life yeah

1:41

>> like we've been after this the holy

1:42

grail like right message right time and

1:45

uh

1:46

>> it's it's for a whole bunch of reasons

1:48

been difficult to near impossible to do

1:50

and you know we're really really excited

1:52

to bring that type of journey

1:54

orchestration to uh Shopify merchants.

1:58

So yeah, I I'm excited to be here to

2:00

talk about this. This is a huge huge

2:02

step in, you know, automated

2:04

high revenue um uh automation building

2:09

for every e-commerce brand out there.

2:11

It's insane. The results are insane. The

2:13

ease of use is insane. And um we're also

2:16

delivering these really cool customer

2:17

experiences. So I'm excited to talk

2:18

about that. Uh this to me, Mike, it

2:21

feels like it does feel like a uh an

2:25

evolution. It feels like a feels like a

2:28

maybe it's a revolution. I don't know.

2:30

But uh this this piece of you know a

2:34

segment of one it's it's uh it is like

2:37

the holy grail. It's like uh it's like

2:40

finding you know the uh or creating the

2:43

uh eighth wonder of the world of the

2:45

modern world you know.

2:47

>> Um

2:47

>> yeah and I think Yeah, go ahead.

2:50

>> Yeah, I think that um marketers are, you

2:54

know, one of the great things about

2:55

marketers is we're always pushing for

2:56

the next thing,

2:58

>> but if you look at like a really

3:00

optimized email or SMS program, what

3:03

you'll find is like a a web of crazy

3:06

automation flows, maybe they're running

3:08

20 flows off every crazy trigger you

3:10

could think of.

3:11

>> And the marketers come to the table, how

3:13

could I improve this, right? Like what's

3:14

what's the next step? Eventually we got

3:17

to the point we're like the next step is

3:18

definitely not 40 flows instead of 20

3:21

flows. It's like it's like the next

3:23

incremental like what's this next step

3:25

change evolution of this

3:27

>> and it's probably running these flows in

3:29

an entirely new way with the help of AI

3:32

agents to these segments of one to find

3:34

not only great alpha on the results but

3:36

also delivering better customer

3:37

experiences because eventually there's

3:40

just a limit to like the amount of flows

3:42

that a marketer can even administer at

3:44

any given point. Like some some people

3:46

crumble under the complexity, right?

3:47

Like you you build and build and build

3:49

and build and build and then all of a

3:51

sudden you're like, "Oh my gosh, like

3:52

what is even going on in here? There's

3:54

so many like loose ends. Is this even

3:56

what customers want?" Maybe you're

3:58

firing based on like a hundred

4:00

thirdparty triggers in addition to what

4:02

you've built. It just it becomes a mess

4:04

really quickly. And that's not a knock

4:05

on marketers. It's like how many how

4:08

many, you know, parallel universes could

4:10

you keep track of in your head at one

4:11

given time. Yeah. Most people have built

4:13

like an automation bird's nest in their

4:15

tools and so you know we want to get to

4:19

the next thing which is you know

4:20

self-driving automations that drive more

4:22

revenue and make customers super happy.

4:24

>> Oh.

4:25

>> So is that is that how you're thinking

4:27

about like the the evolution of that

4:30

shopper automation is that self-driving

4:33

automation?

4:34

>> Yeah. Essentially because finding and

4:38

using zero party data, zero party

4:41

information, which is what makes these

4:43

segments of one necessary, right? Like

4:47

>> yeah,

4:48

>> it's not necessary or even interesting

4:50

to the endscriber to give them a segment

4:53

of one message if you don't actually

4:54

know anything about them, right? Then

4:56

you're like, I want everyone to have a

4:58

personalized message, but like what are

4:59

you really personalizing off of? Merge

5:00

tags are not personalization.

5:03

And so because we have onetoone

5:05

messaging with shopper, we're having

5:06

these conversations. We're learning

5:08

things that actually make a onetoone

5:10

message interesting. I'll give you an

5:12

example. Um we work with um a a a brand

5:17

Boost bar formerly of no commerce. It's

5:20

his brand.

5:21

>> And um you know he shoppers having a

5:24

conversation with one of his customers.

5:26

they find out that the person buying

5:28

this, their daughter-in-law has celiacs

5:31

disease and can only have uh, you know,

5:34

only have gluten-free. And that's why

5:36

they're exploring the brand, right? It's

5:38

like, okay, now we have a piece of

5:40

information that would be really

5:41

interesting to do a onetoone message

5:44

about this person who's cooking for a

5:47

person with a medical who they care

5:50

about. We understand those patterns

5:52

differently. Okay, now there's a good

5:54

reason to message this person segment of

5:56

one and keep that conversation going.

5:58

And so, um, it's not just because we

6:00

think that that's better. It's also

6:03

impossible for a marketer to make use of

6:06

that information. So, we would show bar,

6:08

>> this person told us their

6:09

daughter-in-law has celiacs. He's like,

6:11

"Oh, that's a really cool insight. What

6:13

do I do with it?" It's impossible for a

6:15

marketer to be like, you know, doing a

6:18

segmentation to figure this out. only

6:20

tool that could make use of that piece

6:23

of information in an intelligent way is

6:24

an AI agent because it can an individual

6:27

message for everyone. So it's a little

6:28

bit out of necessity, right? Once you

6:31

get the raw material to make onetoone

6:33

interesting, the only tool set that can

6:36

automate that is AI because you can't

6:39

have no attention writing it. So, it's

6:42

better, but it's also like required.

6:44

Like once you have that those

6:45

ingredients, you have to employ AI to do

6:47

it because it's just it's too much um

6:51

span of control for any one or team of

6:53

marketers to possibly go dig through and

6:56

make use of. So, it's like the perfect

6:58

use case for an AI agent to be building

7:00

these automations.

7:02

>> The thing that strikes me is like

7:05

information like that is so minute. It's

7:07

so minute and individual, you know? It's

7:10

like how how many inside of your your

7:13

flows your list are going to be you know

7:15

suffering from celiac disease and then

7:18

you know you need to create with it. I

7:20

>> I would say my own experience especially

7:23

in the realm of retention it's like you

7:25

want to you want to look like you're

7:28

doing great work to your boss. You want

7:30

to look like you're continually busy.

7:32

And so what you do default to is just we

7:34

got 20 great flows. Well, what are you

7:36

doing now, big boy? 50.

7:38

>> Uh 50. I am I'm making more and they're

7:41

even more like minute and delicate and

7:45

taped together with more things and what

7:47

you end up doing is spend all your time

7:48

on stuff that doesn't actually make

7:50

substantial money. You know, you just

7:52

you're just like busily looking

7:54

impressive to your boss.

7:56

>> The the the interesting thing about what

7:58

this automations product does is it

8:02

still helps you make this argument to

8:03

your boss because you're not doing less.

8:06

This is literally making millions of

8:09

micro decisions every single day about

8:12

what to say, who, what, when, where, how

8:14

do I send. So when you go talk to your

8:15

boss like, "What are you doing here?"

8:17

You're like, "Hey, I'm administering our

8:20

offers and our brand center on top of

8:23

this new AI technology that's making our

8:26

automations drive uh, you know, more

8:28

dollars. And by the way, we're giving

8:30

the

8:32

60,000 people or 600,000 people on our

8:35

list a completely bespoke onetoone

8:38

experience. So

8:40

>> if if if 50,000 people are going through

8:43

an automation in a given month, before

8:45

you'd be like, we got 20 different

8:46

experiences to categorize these 50,000

8:49

people. Now you get to go and say, I

8:51

gave all 50,000 people a completely

8:52

bespoke journey for themselves. And the

8:55

result of that is that we got revenue

8:58

per subscriber lift of somewhere between

8:59

five and 10%.

9:01

>> Uh 15x incremental rorowaz from using

9:04

this tool set. And the other thing that

9:07

lets us know like one to one is really

9:08

really really really worth it. When we

9:11

do selfdriving onetoone automations with

9:14

shopper automations, we actually see a

9:16

25% lower unsubscribe rate from

9:19

automations.

9:20

>> Wow. There's a there's this hypothesis

9:22

that like we as marketers we think

9:25

people want onetoone but like do they

9:27

really does it really make a difference

9:28

like the unsubscribe rate shows us in

9:31

addition to obviously incremental

9:32

revenue but the unsubs

9:33

>> unsubscribe rate shows us that even when

9:36

people don't convert they like the

9:39

onetoone experience better and stay

9:41

subscribed to the yeah stay subscribed

9:42

to the list longer. So, I think that

9:45

like there's an opportunity to if you're

9:48

thinking about what your boss is asking

9:50

you to do, there's an opportunity here

9:52

to talk to them about um how you're

9:54

actually elevating the uh the rorowaz,

9:57

you're elevating the customer

9:58

experience, and we're actually

10:00

delivering way more complexity, not

10:02

less. We're just doing it in partnership

10:04

with uh Postcript's AI agent.

10:07

>> Fasting. I mean, this is one of the

10:09

things I definitely wanted to touch on

10:10

was you're elevating the brand

10:12

experience so much more and that

10:15

customer's interaction with the brand

10:17

>> and also we haven't mentioned this. This

10:20

thing is on 247 365.

10:23

>> If you're sick someday, this thing's

10:26

still running in the background. If you

10:28

are hanging out, it's still running in

10:30

the background. just collecting more

10:32

zero party data for you to then operate

10:34

the brand and move the brand forward in

10:37

a new direction from true customer data

10:40

and true interactions.

10:42

>> Yep. And so like there's the likelihood

10:45

that it um the the lowest the the worst

10:48

case scenario is that it delivers an

10:52

automation that is at par with whatever

10:54

you're running right now. The best case

10:56

scenario is it delivers this incredibly

10:59

elevated experience that drives an

11:00

incremental conversion and completely

11:02

delights the customer and the

11:04

administration cost of that goes to zero

11:07

while whatever you're doing now requires

11:09

your hands on the keyboard. And um so

11:12

like I I called it like a self-driving

11:14

flow, self-driving automations and um

11:16

>> that's like literally what it is. The

11:18

other thing that's really cool about it

11:20

>> for people who are skeptical, which you

11:22

know, Postcript, we we come with

11:23

receipts. We don't like to just ask

11:25

people to trust us with, you know,

11:26

blackbox AI stuff. Every single

11:29

implementation of this is baked into a

11:31

hold out where we have a treatment of

11:32

whatever percentage you say

11:34

>> and then we we test it against what you

11:36

currently have, right? And so, um,

11:39

everyone who is in the alpha and beta of

11:41

this product is getting an incremental

11:44

50/50 test versus control split with

11:46

clear reporting on every single

11:48

subscriber. And so, there's also, if

11:51

you're talking about what are you

11:52

reporting to your boss, you're not just

11:53

like, "Oh, yeah, trust me, bro. This is

11:55

better." You can point to this soldout

11:57

study. It's baked into the process. It's

11:59

right there in the dashboard. And so you

12:01

get the proof, you get the control and

12:03

you get the, you know, the incremental

12:05

results with, you know, zero

12:07

administration from you and your team.

12:09

It's like that's what we want, right?

12:11

That's what we want. We want great

12:12

results with less work. And shopper

12:14

automations is a is a is a free money

12:16

machine.

12:18

>> I love that.

12:20

>> I love I love that analogy also with

12:22

full self-driving because it it is

12:25

exactly what this is. I mean, you guys

12:27

should think about full self texting. A

12:29

little an old muscle, [laughter]

12:30

a little a little ft.

12:35

[laughter]

12:36

>> You know, this is a this is a a really

12:39

it is a very appropriate u illustration

12:42

and metaphor. So, like, walk me through

12:45

walk me through my So, I've got my

12:47

normal setup.

12:48

>> I've got [clears throat] my welcome

12:49

flows. I've got my all my things over

12:51

here. And then we've got that's that's

12:53

continuing. But I've also got full self

12:56

texting, full self-driving that is

12:58

happening as well.

13:00

>> It's literally the most intuitive thing

13:01

ever with the start of the setup is you

13:03

have a little slider and you get to tell

13:05

us how much of the traffic you want to

13:07

go into this treatment. You can adjust

13:09

it. You know, we do a hold out, then we

13:11

tell you the results, and then once you

13:12

feel good with it, we're we're going

13:13

more and more and more. What we're doing

13:14

along the way to earn the trust to be

13:17

able to go to 100% of automation traffic

13:20

is we're tweaking the brand center.

13:21

We're updating the offer management

13:23

suite. We're giving the intelligence to

13:26

the automation to the automation agent

13:28

to shop for automations to be able to

13:30

continue to nail that experience and

13:32

that's what we're fine-tuning and uh you

13:35

know in 100% of cases we're making more

13:38

money driving a better experience.

13:39

People are super excited. I mentioned,

13:41

you know, like an average of of uh uh

13:44

you know, 15x incremental return. People

13:46

have seen way more than that. Portland

13:48

leather saw 17x. Um Beakman saw 18x. Um

13:54

there is um Portland saw uh in addition

13:57

to the the incremental return, they also

14:00

saw an 11% improvement in revenue per

14:03

subscriber just from turning this thing

14:04

on. So

14:06

>> 11% more money per subscriber

14:09

with doing 100% less work on that cohort

14:14

of people like that that's what we just

14:15

delivered. So for anyone who's using

14:17

Postcript um we are happy to do the hold

14:20

out run you through the implementation

14:22

show you how it works so you can get

14:23

these results but like our intention is

14:26

that we drive the amount of revenue

14:27

you're making per subscriber going

14:29

getting these automations way way up and

14:31

taking the amount of you know brain

14:33

power it takes to run a at scale

14:35

automations program down to nothing.

14:38

Now, we know we need to earn that trust.

14:39

That's part of the process, but that's

14:41

what's available in the account now.

14:44

>> And and Mike, something you just breezed

14:47

by there that I just wanted to

14:49

highlight. You said 100%. It's like

14:51

everybody that's done it has made more

14:53

money. Is that I mean, did you say that?

14:55

>> Yeah. the bar the the the bar for when

14:58

we release products is um you know if we

15:00

don't have something that is like

15:02

universally going to create more topline

15:06

bottom line revenue for our customers

15:09

then we need to go back to the drawing

15:10

board and we're not out here trying to

15:13

say like oh you should use AI because it

15:15

like feels good and it's a cool little

15:16

toy and you know you can do this fancy

15:19

little demo and maybe it's fun like the

15:22

like the way we earn the trust of our

15:24

customers customers is by asking them

15:27

what their goals are and developing

15:28

products that help them get to those

15:30

goals at a lower total cost of ownership

15:32

by providing you know revenue generating

15:34

tools and um that's the way it's always

15:36

been our fora into AI same thing shopper

15:40

is an an incredible um new development

15:43

that you know continues to to drive

15:45

results for customers [laughter]

15:48

>> this feels like this feels like a this

15:51

feels like a red letter day [laughter]

15:53

this feels like a very I'm and I'm

15:56

saying a very genuine like turning of

15:59

time is what I'm is what I'm saying

16:01

here. Sorry.

16:02

>> You know, yeah, we're we're pumped about

16:04

it. We think that um you know the the

16:07

ability for AI to do deliver onetoone

16:10

experiences for e-commerce use cases is

16:14

finally available. One of the missing

16:16

ingredients was do you even have data

16:19

that makes a onetoone experience

16:21

interesting? Historically, the answers

16:23

to that it's been no, but we've been

16:24

doing shopper onetoone conversations for

16:27

a very, very long time. And so, the

16:29

addition of all of this zero party data,

16:31

all this conversational data with these

16:34

new tool sets is making things possible

16:35

that were just truly not possible in the

16:38

past. And so, we're starting here with

16:40

automations. it. You know, I I won't I

16:44

won't say exactly where where we're

16:45

headed with it, but like you can imagine

16:47

we're going to try to bring this type of

16:49

innovation to as many messaging types as

16:51

we possibly can.

16:53

>> Messaging types.

16:53

>> Mike, I mean, have there been any

16:56

conversations, I'm sure there have been,

16:57

where even you're looking at the

16:59

conversations that has been had by

17:01

shopper and you're kind of looking

17:02

around internally being like, look, we

17:05

know this product is good, but what just

17:07

happened is like unbelievable. Do you

17:10

have any of those examples from a brand?

17:13

>> Yeah, I mean the every single brand

17:15

account has tons of those. And I I'm not

17:17

sitting here saying shopper absolutely

17:18

perfect out of the box, right? Like

17:20

there's some fine tuning needs to

17:21

happen. So, you know, there's there's

17:23

definitely some things with um offer

17:25

management that we want to make sure

17:26

that we're nailing in. You don't want to

17:28

confuse people with different discount

17:29

codes and things like that. It needs to

17:31

match your merchandising on site. So,

17:32

when you do a sitewide sale, like does

17:34

it know that that's happening? We have

17:36

sitewide sale awareness. So there's all

17:37

sorts of little edge cases, practical

17:39

edge cases that you want to make sure

17:40

are tight in there. The thing that it

17:42

does almost 100% of the time that is al

17:45

baffling is the relationship part of of

17:48

of the conversation management. Like the

17:51

celiacs example I brought up from Boous,

17:54

that person also let us know that like

17:56

they have a tradition of like baking

17:58

hollow with the family on Friday nights

18:00

[laughter] and that's a thing, right?

18:02

Let's go. shopper is like remembering

18:05

that and being like, "Oh, do you have a

18:08

gluten-free holo recipe?" Like, you

18:10

know, here's what I would like. It It's

18:12

like it's adding to the conversation in

18:14

such a human way and making use of the

18:18

zero party data without any

18:20

administration in a way that feels

18:21

completely natural and additive to the

18:24

experience. the the the the bar that we

18:27

look to which I see happen in every

18:29

single person's account is like when

18:31

people are thanking shopper which is AI

18:33

but people are thanking shopper just not

18:36

for just the information but for the

18:38

conversation they're like hey [laughter]

18:41

>> they're like they're like yeah they're

18:43

like it was it was super nice talking to

18:44

you today like that happens

18:47

>> in everyone's account every single day

18:49

and like that that bar is is the bar we

18:53

need to be hitting And we're not

18:55

perfect, but or we're we're getting

18:56

better and better every single day. And

18:58

there are magic examples of that sort of

19:01

conversation in every single shopper

19:04

account all the time. It blows our mind

19:06

still, but it is incredibly good at

19:10

understanding when to make use of zero

19:13

party data, conversational data to

19:14

enhance the relationship and tee itself

19:17

up to be able to do a value added

19:20

conversation with the person, whether

19:21

when to sell, when to upsell, when to

19:23

educate it. It understands a lot about

19:27

what people are looking for when they're

19:29

shopping. That's why we call it shopper.

19:30

It helps people shop. That's what it

19:32

does. So, it's purpose-rained to do

19:34

that. It understands what people are on

19:37

your website to do and it makes very

19:40

very good use of the conversation to be

19:42

able to, you know, facilitate a

19:44

non-pushy sales interaction.

19:46

>> I love that.

19:46

>> Wow.

19:47

>> Fascinating.

19:48

>> It's incredible.

19:50

>> And and uh this this very much feels

19:53

like a turn of time. It feels like a uh

19:57

I don't know. It feels like ecom ecom

19:59

3.0 or 4.0, No, you know, whatever

20:02

whatever is the appropriate number here,

20:05

Mike. I um you know, [clears throat]

20:07

especially your mentioning of various

20:09

messaging types. Uh you know, you got to

20:12

talk to me a little bit. You got to talk

20:13

to me a little bit about the leak, which

20:15

we were on top of. Okay. I have to say

20:19

we were we were dialed in. Okay. I just

20:21

saw a little, you know, saw a little

20:23

something, you know, and I just uh had

20:26

to ask the question, you know, is

20:28

>> quick draw from the Cowboys.

20:29

>> Yeah. breaking news.

20:32

>> We appreciate we appreciate the eyeballs

20:34

on the stuff the the [laughter] internet

20:37

the the internet is uh undefeated. So um

20:41

yeah uh I you know I can't say obviously

20:45

there's lots coming so I can't say too

20:46

much. Um September 23rd we are doing a

20:51

launch event for Postcript email.

20:54

>> Um

20:55

>> so if you go postcript.io /email. You

20:58

can go sign up to see everything there.

21:00

We're going to, you know, that's the

21:02

place. Like if anyone's like, "What does

21:03

it mean? How's it work?" That's the

21:04

place to go find out. Um I am very

21:09

encouraged by the response and what I

21:12

will say is that um you know, one of the

21:14

things that we hang our hat on is

21:16

earning trust with our customers.

21:18

>> Yeah.

21:19

>> And I think a lot of people are

21:21

interested in this because they trust us

21:24

with their SMS dollars. And so they're

21:27

excited to explore whether they could

21:29

trust us with their email dollars as

21:30

well. And we take that really seriously

21:32

and we intend to bring a great product

21:34

to the market that meets everyone's

21:36

expectations. Um,

21:39

you know, I I think for many many years

21:41

we've said that we we were not doing

21:43

this, but um

21:45

>> that's true. I mean, you you told me you

21:47

actually told me that years ago. I mean,

21:49

I because I you know, I I had asked

21:52

years ago.

21:53

>> Yeah. I think um the combo of two

21:55

things, right? it's uh what what you can

21:58

build with the tools that are available

22:00

have fundamentally changed and also you

22:03

know we we try to understand what

22:06

customers want right and it's been eight

22:08

years of people banging down our door

22:09

being like please do email and so

22:12

eventually you know the stars aligned we

22:15

um see good reason to enter this market

22:18

where in the past just building like a

22:21

you know clone of what's out there just

22:23

wasn't interesting to us we always want

22:24

to try to build new innovative

22:28

uh products that deliver new alpha to

22:30

customers. And so when we saw that

22:32

opportunity become available, people

22:34

still banging down our door eight years

22:35

in a row, we were like, let's explore.

22:38

And um we're really excited about what

22:40

we're going to what we're going to bring

22:41

to the market. And um I

22:45

am am uh uh uh flattered by the response

22:49

from the general community. and um and

22:53

and and if you if you want to learn

22:55

more, which I hope you do, we are very

22:57

very excited to show you exactly what

22:58

we've been up to on September 23rd.

23:01

>> So, so okay, ju just like you have sent

23:05

emails though, I guess. Like that's like

23:07

what I'm I'm, you know, I'm uh I'm

23:11

surprised that honestly I'm surprised if

23:13

you guys have been heading this way. I'm

23:14

surprised it's uh it's been hidden under

23:17

wraps like this long. I mean, have you

23:20

sent emails and such? like it's a it's a

23:22

real developing thing.

23:23

>> Yeah. Yeah. There are there emails have

23:26

been sent from Postcript. So like we

23:28

[laughter] are

23:30

>> we have we have alpha customers. Um we

23:33

have a we have a great product that is

23:36

improving all the time. Um I appreciate

23:39

that you said it's been kept under wraps

23:41

internally. We I refer to this as the

23:42

worst kept secret in ecom. Um [laughter]

23:45

but uh but we we're we're not trying to

23:49

keep secrets. You know, we're telling

23:51

people, look, we um we have a track

23:55

record and a relationship with our

23:56

customers that we very much value. We

23:59

want to continue to bring best-in-class

24:01

products to market. Anytime we think we

24:03

can add value to our customers, we're

24:06

going to try as hard as we can. So, in

24:08

2026, that means we're we're bringing

24:10

email to market. And so, we're pumped

24:13

about it. And um we've sent emails. We

24:16

we intend to send many many more emails.

24:19

>> Wow.

24:19

>> Wow.

24:20

>> Could you could you relay that launch

24:22

date again? When was that?

24:24

>> Yeah. So September 23rd is when we're

24:26

doing our launch event. Um

24:28

>> that's where you can learn everything

24:30

that you need to learn. Um and uh we are

24:33

we are going to be ready and and we're

24:34

excited.

24:36

>> September 23. September 23.

24:39

>> If you didn't know,

24:40

>> breaking news.

24:42

>> Breaking news. [laughter]

24:44

23. Uh boy, man, exciting times.

24:48

Exciting times, Mike. I mean, for for

24:50

Postcript and uh man, I I love that. Um

24:54

you know, this is uh born out of man,

24:56

your customers asking for it. I mean,

24:58

[laughter] you know, that's that's uh

25:00

that's like the most that's like the

25:02

most powerful um you know, kind of why

25:05

would we develop this? Well, our

25:06

customers asked for it. [laughter]

25:08

>> That's a great reason.

25:09

>> Yeah. ultimately every single year

25:12

people have asked and we've had to

25:13

consider it and you know the facts on

25:15

the field have changed and so you know

25:19

now now is the time and um also we

25:22

expect that you know it's going to be

25:24

competitive it's not going to be easy

25:26

you know especially to hit the bar that

25:27

that we want to hit and so you know we

25:30

don't take the we don't take it lightly

25:32

we intend to deliver there are plenty of

25:35

people on you know uh on X and LinkedIn

25:38

who were like hey I love this company.

25:40

This is going to be tough for these

25:41

reasons. And Beller and I were out there

25:43

being like, "Hey, we know like bet

25:45

actually like we don't we don't want you

25:48

to just assume we're just going to knock

25:50

it out of the park. We're going to

25:52

deliver a really really great product

25:54

that we're proud of that will make

25:55

customers more money." And um we we

25:58

don't expect any any freebies along the

26:00

way. We're going to we're going to earn

26:01

it and um we're excited to, you know,

26:03

get in the arena as they say.

26:05

>> Let's go.

26:05

>> Wow. Incredible.

26:06

>> Incredible, Mike.

26:07

>> Incredible, man. Breaking news, shopper

26:10

automations. Um, everybody needs to get

26:14

in on now. Um, go DM and bother Mike

26:18

until you get in on the alpha, beta,

26:20

beta, whatever it is.

26:23

>> DMs are open.

26:24

>> Beat down the door,

26:26

>> DM Mike Mannheimer. And uh, stay tuned.

26:29

September, September 23rd, more breaking

26:32

news to come. That's exciting.

26:34

>> Postcry.io.io.

26:37

September 23rd, we'll be back uh with

26:40

the Cowboys. Um appreciate everyone.

26:42

Appreciate your guys' eyeballs on on the

26:45

uh

26:46

>> on the uh on the feed. Um but yeah,

26:49

we're excited. Uh we love building for

26:51

our merchants and we want to we just

26:53

want to keep going. So we're we're

26:54

jacked.

26:55

>> Incredible, Mike. Well, we uh we

26:57

appreciate you coming to join us and we

26:59

look forward to all the things to come,

27:01

man. Postcript.io.

27:04

Mike, we look forward to having you

27:05

back. Thank you, brother. Incredible.

27:07

>> Thank you guys. Bye.

Interactive Summary

This video features a discussion with Mike Mannheimr from Postscript about their new 'shopper automations' technology, which uses AI to create personalized, one-to-one messaging experiences for e-commerce brands. They explain how this 'self-driving' automation reduces the burden on marketers while improving revenue and customer engagement. Additionally, the conversation reveals that Postscript is planning to launch its own email marketing service on September 23rd.

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