Ep. 175 - Beyond Copy: How AI Powers the Next Generation of SaaS Growth

Guest: Hikari Senju, Founder & CEO at Omneky -- 

AI isn’t just generating ad copy—it’s reshaping the entire performance marketing playbook for B2B SaaS. 

In this episode, Hikari Senju, founder and CEO of Omneky, shares how the platform evolved from an enterprise solution to a self-serve powerhouse—and why smart creative strategy matters more than big budgets. 

Key insights from this episode: 

• Why brute-force creative testing consistently outperforms guesswork 
• How ad performance data can directly inform GTM messaging 
• Why brand inconsistency across platforms kills trust and conversion 
• How AI-powered ads are becoming core to revenue strategy 

If you’re a B2B SaaS CMO or CRO looking to improve ROAS, scale faster with fewer resources, or make AI actually work for your GTM team, this episode is a must-listen. 

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Transcript

Welcome to SaaS Backwards, a podcast that helps SaaS CEOs and GTM teams to accelerate growth and enhance profitability. Our guest today is Hikari Senju, founder and CEO of Omneky, a generative AI platform built for performance advertising. In this episode, we'll explore how AI is reshaping advertising, particularly for B2B SaaS companies.

Ken Lempit: Hikari will walk us through Omneky, AI powered ad generation platform, discuss the future of creative testing and optimization. And examine both the promise and pitfalls of AI in performance marketing. Hikari, welcome to the podcast.

Hikari Senju: Thanks for having me, Ken, really excited to be here.

Ken Lempit: Yeah, this is a great topic for us and I'm interested in learning more. before we get into it, could you tell us something about yourself and your company? Omneky.

Hikari Senju: So I'm the founder and CEO of Omneky. Omneky generates and optimizes high performing advertising campaigns and advertising creative. Users can sign up today, seven day free trial, start generating beautiful on-brand ads within minutes, and launch them all through our tool across all major social and social advertising channels.

Ken Lempit: So you founded this company about, what, six or seven years ago, right? What were you doing before then?

Hikari Senju: Yeah, so my background is I grew up in, in New York, in Westchester. I studied computer science at Harvard. I got really into AI. I was focusing on artificial intelligence at Harvard. I was also taking a lot of coursework in MIT on AI. And I had started two venture backed companies in college, one of which was in, in education.

It was aquired by another company in the Bay Area where I became the head of marketing. So before starting Omneky, I was noodling on like AI, 'cause I wanted to start another company and I wanted to be in AI. I was like kind of noodling in different ideas. I was running marketing and I saw an opportunity for AI to, autonomously generate and optimize creative and advertising campaigns across all different channels.

That's why Omneky is called Omneky 'cause we're an omnichannel platform. And ultimately democratize growth, which is our mission. You know, empower more small businesses and business owners to connect with their customers earlier in their lifecycle and increase their chance of being successful by lowering the cost of go to market.

And so that was the mission and that was the vision and we've just been kind of, really focusing on this problem since day one.

Ken Lempit: That's great. In our prep session, and I think here you've really talked about Omneky as an end-to-end platform. You know that you can generate, launch and optimize ads. So why don't we, dig into the product a little bit. How would a marketer use it from signup to execution?

Hikari Senju: So, users sign up. When they sign up, they add their website. We scrape the brand website we will summarize the brand information. We've scraped the product assets, the product photos, the product descriptions. Customers can confirm the summarizations and kind of the product info and brand info that we've enabled to garner from the website.

Customers can also upload their own brand information, brand guidelines. Then we highly suggest customers select a couple of reference ads and upload a couple of reference ads that they really like the designs of, because we really want to ensure that the ads are as on brand as possible on that first try.

So then once you've kinda uploaded all this information and confirm this information the AI starts, gets to work, and then within really a minute or two, it generates a handful, a little over a handful of beautiful image and video ads in different dimensions that showcases your product in the style that you're seeking that is on brand.

Then you can launch those ads directly through interface to Meta and Google and other social platforms. can edit the ads through our interface. We have a robust editing, AI editing. Interface. can turn those into variations and then you can also view insights about the performance of your omnichannel ad convey.

So we can connect Meta, Google and other social platforms. From the analytics standpoint, we combine all that information and you can start seeing across all your different campaigns what types of creative is driving ultimately conversions and return on ad spend and improving return on ad spend for you.

And then RAL will actually utilize that information to generate additional ads for you that you can then approve, edit, or launch. And so that's a kind of the end-to-end workflow from sign up to kind of optimization.

Ken Lempit: Can you actually launch into the ad platforms themselves

Hikari Senju: Yes,

Ken Lempit: directly from your platform?

Hikari Senju: yes.

Ken Lempit: So that's great. So it's a, so it's an opportunity for marketers to build and deploy all in one place, right? Build, deploy, and analyze in one place.

Hikari Senju: Exactly. I mean, I think today advertisers have a plethora of options to run ads on. There's obviously a lot of social platforms to run ads, and you have Meta, you have TikTok, you have Snapchat, you have Reddit you have LinkedIn. Then you have. CTV programmatic television that is increasingly a popular advertising medium. And there's a lot of options for buying and launching media there. Then you have gaming, and you have display. and so there are, are probably over, you know, a dozen platforms that advertisers probably top of mind you can think of when it comes to, I want to connect with my customers on that interface.

And our belief is that advertisers big and small, don't want to go into, you know, dozen ad accounts, platforms, create accounts individually and optimize and create ads for every single one. They would like to manage that experience, that generative experience we say. Customers would want to manage their generative experiences through one interface and then orchestrate those omni-channel campaigns in one place where all the data is getting collected in one place.

They can see trends across different platforms in different channels, and then launch a consistent brand experience from one place, because otherwise, if you're gonna delegate every platform to create your generative experience for you will then. It's quite possible that those experiences might become very different depending on the platform.

And then you'll lose brand consistency. You'll lose brand recall brand trust. 'cause at the end of the day, consistency is what is, you know. The bedrock for trust so it's important for the advertiser, for the marketer to make sure that their brand experience is consistent across all customer touchpoints.

And at the same time though, and the challenge is making it personalized as well. So it's not just about consistent brand experiences, but consistent and personalized across different customer touchpoints. And that's really the challenge that we're helping customers solve with our omnichannel orchestration and generative tool.

Ken Lempit: Well, let's dig a little into the generation of content. You know, it's not a surprise to you and our listeners that a concern that people in B2B and consumer marketing have is that AI generated content often sounds like, you know, generic or bland or derivative. So how does Omneky ensure that creative quality and brand alignment occur instead of, you know, sort of replicating and magnifying sort of the average?

Hikari Senju: Absolutely. So I think, you know, there's really great research that shows that a lot of the creativity gets condensed and kind of squashed when you use like the default prompts and the default kind of interfaces. And so this is why as part of onboarding, and I was really stressing this as part of the onboarding is we get as much of the brand context information and reference styles.

ideally the performance data as much as possible when we're creating that initial ad.

Because that additional context is what creates differentiated experience. You know, what is it that's unique about your brand? What is it about your brand that's driving higher engagement? What are the

styles and designs that you're aspirationally seeking from your marketing. By the way, our product starts at $99 a month. So accessible for, I think most, almost any marketing team, big or small is, you know, maybe you don't want to even hire a designer and we can create content for you.

Better than the average designer with AI, you know, for just $99 a month and help you orchestrate these brand experiences at a very affordable price for basically any small business owner. And so, so in order for us to be successful doing that, not only do we have to offer at a competitive price, but also to make sure that you know, that the ad is on brand.

And so, that's why we sure that we incorporate as much of, and we seek and we scrape and we research as much brand information as possible. And get your kind of confirmation on that to then generate those experiences for you.

Ken Lempit: Maybe this is a good time to talk about, you know, who your actual ideal customer is, as you've mentioned, you know, very, you know, very low bar to start working with. Omneky. So who are you trying to to sell to as your ideal customers?

Hikari Senju: Sure. So, you know, the company's been around for seven plus years as you've mentioned, and I think that our ideal customer profile has changed strategically as we've grown and as time has passed, and so when I started the company back in 2018, the focus was. We're very early in the market. We, I know we're very early and know, 2018 is, you know, before the whole Gen AI boom and, and craze. So the idea was let's focus on enterprise and mid-market companies, work closely with them, perfect the product. And then when we believe that the product was ready to scale. On its own then pivot hard into kind of a self-service scaling motion. And so for our first couple of years, we're really more focused on mid-market enterprise brands and really building custom models for them, building custom interfaces for them and really focusing on the whole you know, that kind of enterprise workflow.

Earlier this year, we pivoted really to focusing on SMBs and really servicing the long, you know, wide group of the, you know, tens of millions of small business advertisers that advertise some platforms like Meta and Google to make it easier for them to launch ads and create ads and start scaling their businesses.

And so in that realm, you know, our customers range from a lot of, a lot of these are e-commerce companies. A lot of these are local service businesses, so like a local roofing company or, you know, an electrician even are looking to advertise their services. We have a lot of agencies that are signing up looking for them.

They're looking to find ways for scaling their businesses. And so those are kind of, I would say the personas that are currently signing up and finding value from our tools.

Ken Lempit: did you have to redevelop then, like the interface and, and the

Hikari Senju: Oh, for sure. Yeah, I mean, like, we must be at like Omneky 5.0 or 6.0 in terms of the number of times we've rewritten the product from scratch. I mean, first of all, we've had to rebuild our database multiple times 

the first interface, the first iteration database is not fast enough or not flexible enough.

To get the kind of insights that we're seeking. And so we had to rewrite that database to make it more cost effective, faster real time insights. So we can also collect data from larger sources. We had to rewrite the front-end interface multiple times as well.

As the technology has improved and as we've written, the Gen AI wave and the underlying capabilities improve, we have to, rewrite that interface between the, the user and these generative models. And then, then obviously the underlying actual AI itself, we had to like, you know, level up consistently and, and, and rewrite that infrastructure.

So, yeah, I mean, I would say that we've had numerous iterations of the platform over the years.

Ken Lempit: That makes a lot of sense. You know, you mentioned insights as part of the platform and I, I think it's pretty important, right, to know what's working. And you've mentioned that you use insights across Meta, Google, and LinkedIn to identify trends and even what colors or keywords might be performing.

Do you want to give us a little detail on how those insights actually shape ad generation, what that experience might be like trying to describe it?

Hikari Senju: What we do is we get, you know, let's say top performing keywords, or we realize that a certain object within the ad is driving higher conversion rates, higher return on ad spend. We realize certain colors are driving higher you know, click through rates or conversion rates, well, all that now can be automatically incorporated into the prompt of generating that new ad.

And so it's the seamless interface between the top performing features we have and then automatically incorporating those features into the generation so that the ad, for example, I can even see from Omneky own examples, you know, we've seen that ads with, you know, a person wearing a kind of a blazer, you know, kind of looking business professional person on a laptop has been correlated with driving higher conversion rates.

And so therefore our AI automatically when they're generating ads for us, they'll incorporate a person and for us actually also adds the feature a female, it's like a female professional. Has been correlated with driving higher converters. So generate a female in a business suit, you know, working on a laptop, you know, launching their campaigns.

And then, you know, we've seen like the phrases, like the phrase, you know, disrupt or focusing on the data-driven element of the platform has been getting correlated with driving higher results for us. And so then the AI will automatically incorporate those keywords into the phrases and into the copy of the ad.

And you know, that. That work, you know, that's done now, you know, within, you know, within, within a minute of generating, getting the insights. The ad that used to take weeks of, you know, a marketing analyst and designer chatting with each other, sharing slingy back and forth, creative briefs. Now that's done instantly, very cheaply through our interface automatically.

And so, not only is our system driving. Higher performance in terms of the costs and the time but also actually higher performance in terms of the results as well. Because historically because it was so difficult to translate insights into creative a lot of it wasn't done and now. It's already automatically embedded into the creative itself, those insights. And so therefore it's, and so it's easier to get done, it's trivial to get done, and therefore it's those insights of being better incorporated into the creative and therefore seeing better results for our users and for our own advertisers.

Ken Lempit: Are, are people having to integrate your system with each of the platforms to get that data or are you just plugging into Google Analytics?

Hikari Senju: Yeah, so customers need to connect their own ad accounts. To our platform. So as part of onboarding, we request customers connect their Meta and Google and LinkedIn and TikTok and, you know, all this can be done, self service. We automatically then ingest all this data into our platform and then start showing insights and, and, and suggesting creative as well.

What we'll do, we you know, users, self serve users can sign up and see this. Our AI will actually recommend creative. We'll take the top performing creative that you're currently running and it'll or suggest suggestions for how to improve that creative based on the AI insights. And then you can just click execute and then it'll go and execute those suggestions on the ad, and then you'll get your next iteration of ad completely autonomously within, you know, as easy as clicking that button. So that's automatically integrating the insights from Meta and Google and all these other platforms into writing those suggestions, into showing what the top perform ad is, and then suggesting improvements for that top performing ad.

Ken Lempit: We think a lot about messaging here, right? Messaging, strategy and what we see when we, when we look at ad performance, like as a, I guess in an analog way, right? We're, we're trying to generate insights on our own. And a lot of times we see ads fail because they're leading with the features, not addressing the problem to be solved or the work to be done.

And how do we on this platform test messaging and, you know, get to the messages that work on pain points rather than capability, because I think it's really easy. It's, it's easy for inexperienced marketers to lead with features as opposed to the problems to be solved or the benefits of solving them.

So how do, do you guys turn the knobs on that?

Hikari Senju: You know, it's not about speeds and fees, it's about the jobs to be done. So if you go to analytics dashboard, you can see the top performing well several things here, right? Number one is the various persuasion, tactics and kind of pain points.

Is it kind of a, a column within our interface? And you can actually kind of dig deeper in terms of like, is it FOMO or is it a certain kind of, you know, am I buying it because I trust an authority because you know, for example, there's image of a doctor and, and that kind of lists a certain trust that then is correlated driving higher.

Performance in these campaigns. And so, we attract thousands of features from the creative. And design is an infinitely variable thing. And the combination of those elements is, incredibly complex in terms of how. All that kind of works together to, communicate a, a value property succinctly.

And so, we extract thousands of different features from each ad. You know, the persuasion tactics, the objects, the size of the fonts, the size of the product photo. Who is the hero of this image? You know, what is the main center of attention of this image visually.

If it's a video, then what are the first things that appear in the first five seconds? What are the video hooks? And so we extract all those features and then we showcase to the customer through our analytics dashboard. Well, these are the kind of combination of features that we see driving high performance, and then customers can then dig in and drill down into each one of these features and, and kind of unlock additional insights through our interface.

Those are the various ways that customers can use our tool to kind of figure out really what the underlying pain points are that is most appealing, that you're solving for that end customer. And again, at the same time there, you know, it depends on the persona that you're targeting.

You know, there may be different pain points that are resonating depending on who you're reaching, you know, who, who you're targeting those ads for. So, the pain point that a mom is living, you know, who's living in, in, in, say, the upper West side of New York, maybe different from, a teenager in, in San Francisco, or, someone living in Texas. And so that, you know, the, you can also therefore segment this data based on, the audience as well and the campaigns and the ad sets and the audience targeting. So you can then see, okay, well these are the features that are driving higher performance for this particular target audience.

And then I wanna optimize my campaign for, for them. What makes an ad performance, it's. It's the problem you're solving, but also the way you're communicating that problem in a very high trust way. That is, you know, elicits trust, from that end customer that you are the, person that's, you know, the company or service that can best solve this problem.

And, and then there's all these design elements and features and kind of signals within the creative that either adds to that trust, trust or detracts from that trust. And so it's, you know, we're helping kind of unlock and unearth and kind of, discover what those combination of features are for each audience. 

Ken Lempit: I wanna dig a little deeper into testing because it's an interesting part of this, and when we did the prep, you talked about brute forcing

Hikari Senju: Yeah.

Ken Lempit: right? Like having thousands of creative variations, which I guess you have to have a fair amount of budget to be able to test that many variations. But, where do we draw the line between scale and creative strategy?

How do we as users of this kind of tech. Make things smarter rather than just, you know, proliferating.

Hikari Senju: Yeah, it's a great question and I think there's really, 'cause in advertising today, there's really two stakeholders. There's obviously the end customer, right, which is, who's someone who's end up clicking the ad and buying the product. But there's actually another gatekeeper in between that, which is the algorithms and the platforms and what types of ads get the best distribution on the platforms as well.

And so even if you have a great idea for that end customer, if it doesn't get the reach, if it doesn't, you know, get targeted to the right people,

then the ad isn't gonna perform. And so that's really where I think this brute force approach is very important, valuable, is that you can have that strategy, the big idea, but you still need to execute that strategy in an algorithmic way to really break through, all the noise and all the kind of complexities of these distribution algorithms to make sure that your strategy and your, and your messaging is, is reaching that end customer that you're seeking.

And I think just, you know, the, the arc of technology in some ways I feel is just like, you know, volume and kind of, uh, a lot of problems can just be solved by more scale and more volume and more, more quantity, essentially more quantity of data can solve, problems that were not solvable with small amounts of data.

More amount of compute can solve problems that weren't real to solve with, with less amount of, of compute and, and more creative can drive higher performance and advertising campaigns that could not have been driven with less number of creative. so that's kind of our approach is it's very kind of, that's kind of the mindset we have in terms of building our platform and enabling these tools for our advertisers.

Ken Lempit: And I, I have a question we didn't really talk about before, but I, I think it's something that's worth trying to just touch on, which is, advertising, depending on the category right, is more or less regulated. There's rules of engagement. How do you guys ensure that the ads, that the ads and variations, uh, maybe hundreds of variations are compliant?

Like, let's say it's a local dentist, right? There are certain promises that can or can't make. How do you go about that?

Hikari Senju: From the very beginning, one of our largest cohorts of customers are in these heavily regulated industries. So. So I would say like, health related medical products, gambling products and FinTech products. Weight loss, I mean, these are, have historically been, you know, a decent percentage of our customer base.

And I think the reason why they use our platform and uh, they come to us is because we have a whole set of guardrails regarding compliance. So first of all, when a customer signs up, they upload, you know, and we scrape their brand information. We also have a section called, you know, compliance. Like what words can you and can't you use.

What imagery can you and can't use? If you're in FinTech, for example, you can't say anything related to free money. And if you're in healthcare, you definitely can't necessarily guarantee outcomes. And so all those rules are embedded in the brand management section and customers can confirm that.

And then on top of that, we have a whole approval flow. The ad is never automatically launched. You can actually edit our creative through kinda this chat interface once the ad is generated, to make it more compliant. You can leave comments and then ultimately it's up to the user to launch the ad themselves.

And so, we have a lot of guardrails regarding, compliance and of the regulatory nature of these different industries that we service. To make sure that the ad ultimately benefits the customer and, and helps them save time and, and scale, through our tool.

But it's a great question. And again, that's, I think this is actually area that we've historically done well with, which is why, you know, CBD platforms use our tool and, crypto companies use our tool and, other companies in these regulated industries use our tool.

Ken Lempit: That's great. I have two more things I wanna be able to get to in our episode. So one of them is results. can you sort of generalize, you know, how much of an improvement you can expect from a platform like yours and maybe if you have an example, of a client you worked on that you wanna share.

And if not a specific client, you know, what are the characteristics of campaigns that have really benefited most?

Hikari Senju: Yeah, so we have case studies on our website, and, and you can see there the results we've been able to deliver. One customer that I have top of mind here is a company called Omiana, which is a vegan healthcare beauty brand. Year over year, we were able to deliver 2x increase in sales and a 3.5x increase in return on ad spend based on, you know, discoveries like, you know, focusing on the vegan element of their product, or the fact that their product is cruelty free.

and that kind of phrasing, regarding, their offering was correlated with driving higher engagement in sales. I would say that in general you don't necessarily need a humongous budget to be running hundreds of variations of ads because, the worst case is your, is your ad just doesn't get viewed and it's better, I think.

And oftentimes Meta does give at least a handful of views for each creative you upload. And Meta has their own algorithm for determining which ad, which

Ken Lempit: Definitely. We, by the way, have definitely observed this, that the more creative units, it's sort of like at bats, right?

Hikari Senju: Yeah, exactly.

Ken Lempit: So you get more at bats and, uh, in fact, I think it was either LinkedIn or Meta that's being explicit about saying, Hey, you need to make, it was Meta recently, right? That just said you need, you need many more variations to get as many exposures on the platform.

So.

Hikari Senju: It's, it's like you want more horses in the race. You know, if you have a portfolio, you want a diversified portfolio of stocks to drive higher performance. And so yeah, the load or basket of options you can give Facebook Meta to choose from when serving an ad on, on, uh, meta or Instagram or any of their other platforms, the more likely it is that they can find the right creator for the right person at the right, right moment in time.

And then on the same time is also you have, ad fatigue. So if a person sees an ad for more than four times, conversion rates tend to decrease by 50% if they see the same ad. So therefore it's, even if your ad isn't getting viewed by all everyone, uh, you definitely wanna do it to make it so that you know, the second or third time they see the ad, you know, every single time they see the ad, they see some unique value prop.

Or at least you're kind of, progressing the story of your brand with that end viewer, and that end potential customer. And so, it is highly suggested that you run and launch as much creative as possible to drive up and performance, even if you do not have a humongous ad budget or even in medium sized, even even with a small ad budget.

There's no downside in necessarily uploading more creative, that Meta can choose from when they're making a decision to serve an ad. And what we've seen therefore is that customers that have more ads running that meta can select from does see higher performance because there's less issues with ad fatigue, there's better personalization of the ad.

So maybe this person has a very niche interest and you know, maybe, you know, this particular creative you upload doesn't have a humongous market, but for this particular niche interest, it's the right ad for that person at that time. And so, by just giving the options to these platforms to select from, you're more likely to, have a higher conversion rate.

So therefore, you know, it's now about, okay, well then how do you make sure that as I'm creating all this content, it's on brand and that it aligns with the brand guidelines and it's follows regulations and that I'm following the analytics properly to make sure that it's performing and I'm turning off ads perhaps that aren't performing, and how to do this cheaply and as and, and as fast as possible.

And those are the problems that we're solving with our platform.

Ken Lempit: Let's, let's turn our attention to the future here a little bit, I wonder how you see. AI evolving in advertising. You've talked a lot about your current state, clearly there's a productivity gain here, but there's also people very concerned about displacement in the workplace.

No surprise. How are you guys approaching that with your customers and prospects? This notion of productivity versus job loss you know, what pitfalls. Do you as an organization try and help your customers to avoid?

Hikari Senju: I think you know, generally this is economics 101, which is more productivity, creates job growth. This is just a fact of economics is if you have a more productive workforce, you're gonna have more jobs. So the idea that productively hurts growth, we haven't seen that to be the case, historically.

Generally I think every business owner and management team has infinite ideas of things they'd wanna do with their business. Things that they never got around to, things that just they don't have the resources for. If you would ask a CEO of a company, you know, are you out?

No. You know, either, if they're out of ideas, they should retire, right? I mean, no CEO is ever outta ideas for how they can grow their business. What they're out of is resources. Well, if you can improve productivity. Then you have more resources to pursue your other ideas. And so, again, effective leadership, fountain of ideas, they always have more ideas how to improve the business.

You know, I think that's actually a feature of a good CEO and a good leader is, you know, innovation and how they're trying to compete against, with new ideas and, and then so that, so AI only creates more resources, increases productivity. It lets them pursue more ideas. and so that would result in job growth because now, uh, you have more ideas and you need more people to pursue those new ideas, and you also have more resources left over to hire people to pursue those new ideas.

And so the idea that, improved increased productivity will result in job losses. I'm not sure if that's necessarily true. I think you may have instances where maybe the CEO doesn't have new ideas, in which case then maybe they're gonna, you know, all that increased productivity will go back to share buybacks or dividends, something like this.

But then that, that money will go back into the economy, into new investments, that'll create new opportunities as well. So, that's kind of, you know, just a pretty strong belief I've had from early in, in being in AI and, and seeing that happen and kind of, you know, obviously working in this space. For us, you know, I think the future of advertising is, is the advertising in AI is gonna be bigger.

I think, you know, the advertising is only 1% of GDP today, global GDP, but I think as ads, you know, targeted ads in particular drive more sales for customers, I think you could take over lot and more and more market share from the sales function as well. What does an average salesperson do these days, but just send cold emails or send, do cold calls, but those are actually less effective.

Most those calls are going to spam or emails are going to spam. but an ad, you know, if you can track a user, they sign up self-service, they buy your product, self-service. An ad is better personalized, it's actually probably more persuasive, and you can probably attribute it in a more data-driven way.

I think marketing and advertising can go from this cost center historically, which is more about brand building to a revenue driver. And a lot of our customers are seeing ads as revenue drivers. That's why they're spending more money in ads. And that's why, they're seeking higher return on ad spend, with our tool.

I'm, I'm really, you know, quite bullish on the growth of advertising, the growth of AI and the growth of the economy and growth of, you know, probably new jobs and employment, from all the new ideas that people can pursue due to the improved productivity gains.

Ken Lempit: That's a really optimistic and great place to land our episode. Hikari that was a lot of fun. If people wanna reach out to you or learn more about your company, how can they do that?

Hikari Senju: You can definitely visit our website@www.omneky.com. You can follow us on LinkedIn, on Twitter. We're at Omneky Twitter on LinkedIn, on Instagram, on on Meta. You can join our channel on Reddit. Um, and, uh, and follow us also on YouTube. And so, um, those are some of the places. You can also email me at hi@omnekey.com, hi@omneky.com.

And get sign up for free trial on our website.

Ken Lempit: Awesome. And if people wanna reach me, I'm on LinkedIn/in/kenlempit. My advertising and demand generation agency for SaaS is Austin Lawrence group at austinlawrence.com. If you haven't subscribed to the SaaS backwards podcast yet, you may do so most places where podcasts are distributed, you can also watch the video on our YouTube channel.

Hikari Senju, thank you so much for being on SaaS backwards.