SuperMarketers

If you are a High Growth B2B SaaS, SuperMarketers Is Your Done-For-You Demand Gen That You've Been Needing. 

Our primary goal is to boost your SaaS revenue effortlessly with our expert, done-for-you demand generation services—saving you stress and costs compared to running an in-house marketing team.

Book Your Free 45 Minute Strategy Session To Learn How To Use AI To Scale Your SaaS More Profitably and Efficiently: 

👉 https://tidycal.com/genfurukawa1/45-min-marketing-strategy-session-with-gen-furukawa

Founder

MarketerHire

Course Creator and Lead for MarketerHire's first AI course. 

The course is a 30 Day Intensive on Content & SEO, teaching marketing experts and freelancers in the MarketerHire community.

Marketer in Residence

Content at Scale

Joined Content at Scale as VP of Marketing to build brand awareness in the AI writing space. 

In my short time there: 
- Built Content at Scale's Prompt Library -- created 10k prompts to help entrepreneurs, marketers, business leaders learn how to use AI to accomplish their goals. 
- Helped launch a community for Content at Scale. Educated members on AI use cases for marketing with weekly workshops, webinars, and tutorials. 
- Recorded 14 podcast episodes on AI and Marketing with industry leaders like Brian Dean (Backlinko, Mike King (iPullRank), Travis Jamison (Investing.io).

VP Marketing

Prehook

I co-founded and sold Prehook, a quiz platform for Shopify merchants. 

Our goal was to build a software to help Shopify merchants learn more about their customers with quizzes. 

In just a few minutes, merchants could publish a quiz to ask a few questions, capture an email/SMS, and recommend a product. No coding required. 

Brands like Spikeball, Smile Direct Club, Evolve Skateboards, JOI, Teelixir, Camille Beckman and hundreds grew their audience, captured zero party data, and drove incremental revenue with Prehook's quizzes. 

Created thought leadership around ecommerce quizzes and zero party data in:
- our blog
- weekly newsletter
- podcast (CartOverflow.com)
- industry events (2x eCommerce, AdWorld, ProductLed Growth Summit)
- Guest on industry podcasts (eCommerce Fastlane, $100 MBA, eCommerce Badassery etc)

Co-Founder

CartOverflow.com (podcast)

Learning and sharing ecommerce marketing with smart people doing cool things. Weekly episodes with interesting guests (operators, agencies, service providers, SaaS folks) alongside co-host Jeremy Biron. episodes at www.cartoverflow.com

Co Host

Retainable

Retainable helps B2B companies reduce churn.

Boost your monthly recurring revenue, instantly. Retainable helps B2B software companies create a flywheel — increased retention; higher lifetime value; higher MRR. Email me if you have questions: gen@retainable.com

Jungle Scout

On the founding team and first marketing hire, helped lead growth of the company to over 100k customers. 

Working alongside CEO and executive team, I am responsible for the marketing strategy, recruiting/hiring, and execution of all Jungle Scout products. This includes Jungle Scout, Jump Send, Splitly, and Fetcher. These marketing efforts have helped establish Jungle Scout as the market leader for all Amazon seller software and educational resources. 

Particular focus on customer acquisition and retention. The primary marketing responsibilities include growth from SEO, content, paid, social, email, copywriting, conversion rate optimization, YouTube and more.

Helped lead Jungle Scout's international marketing strategy, particularly the growth in the Chinese market. This includes recruiting and hiring the first marketer focused solely on the Chinese market, and establishing the Go To Market strategy, junglescout.cn site, and helping to manage the growth of the team in China. These efforts have contributed significantly to Jungle Scout's Annual Recurring Revenue.

Vice President of Marketing

Amazon Product Research, Made Easy. 

Leading the digital marketing efforts for the industry-leader in Amazon product research, I focus on strategy and execution of: content, email, SEO, paid acquisition, analytics, split testing, conversion rate optimization, copywriting, and more.

Head Of Marketing

Fetcher.com

Growth

Splitly

Splitly is the only tool to help Amazon sellers maximize profits by running automated split tests.

Jump Send

Building a marketplace for the top Amazon Email Automation and Coupon Distribution Tool. I focus on helping sellers leverage email follow up campaigns to gather product reviews and improve conversion rates.

Done-For-You B2B SaaS Marketing | Founder @ SuperMarketers: Generate More Leads Effortlessly | Let Proven Experts Handle It All | Book A Call To Learn How 👇

Are you a SaaS leader looking to improve your marketing -- more high-quality, inbound leads at scale?  

SuperMarketers is a Done-For-You marketing agency that handles everything: Strategy, Execution, Marketing Ops, and Growth. 

We can do this more efficiently, and with greater impact, with our proprietary AI-driven marketing system. 

At a fraction of the cost of growing your in-house team or working with traditional agencies. 

I can do this because I've been in your shoes. 

I was a bootstrapped co-founder of an eCommerce SaaS, called Prehook. 

We sold in April 2023. 

It was a six figure sale. 

I know that it would have been a bigger outcome if I had the SuperMarketers growth system. 

I am deep in the AI and marketing space: 

I teach AI and marketing (for MarketerHire, a global network of top tier digital marketers). 

I podcast about AI and marketing (podcast is called SuperMarketers of course).

Helping write a book on AI and marketing (with Jon Nordmark, CEO of Iterate.ai).

And of course I help B2B SaaS brands grow profitably leveraging AI and automation--market leaders like Octane AI, Iterate.ai, Pipio.ai, and more.  

Previously I was part of the founding team and VP of Marketing at Jungle Scout, leading a team of 25 marketers through the $110M fund raise lead by Summit Partners. 

Book a 1 on 1 Strategy Call With Me To Learn Exactly How You Can Use Ai To Scale Your Marketing More Profitably and Efficiently, Without Spending Any Money. 

➡️ Book It Now: https://tidycal.com/genfurukawa1/45-min-marketing-strategy-session-with-gen-furukawa

🌷 Gen Furukawa

Ross Hudgens analyzed 200 websites to see what's working in search.

1️⃣ ChatGPT traffic is flattening. 

2️⃣ Google traffic is growing.

But the type of content that ranks has completely changed.

For most B2B companies, pipeline is steady or growing even if topline traffic is soft.

The shift is in what kind of content actually drives results, specifically: 

✅ Guides and playbooks still get the most traffic.
✅ Comparison pages are holding strong.
✅ Pricing and cost pages are performing well.
✅ Case studies saw a lift in engagement.
✅ Trend content is getting attention.

What's dying:
🟥 "How to" posts are losing visibility.
🟥 "What is" definitions are getting buried.
🟥 Anything that can be answered in a single snippet isn't getting clicks anymore.

If an LLM can summarize it in one sentence, users never hit your site.

Some suggestions that Ross suggests: 
1. Move resources toward bottom funnel. 
2. Build out pricing pages. 
3. Create detailed comparisons. 
4. Add interactive tools like calculators or templates. 
5. Refresh your case studies.

And if you're going top funnel, make it complex, like use visuals, embed video, add proprietary data. 

Just make it multimodal enough that it can't be compressed into a snippet.

The main takeaway is that search is definitely going away, simply the bar for content is just getting higher.

Done-For-You B2B SaaS Marketing | Founder @ SuperMarketers: Generate More Leads Effortlessly | 1x SaaS Founder & Exit | Book A Call To Learn How 👇

A lot of AI content still seems AI and robotic because people give the model way too much freedom.

AI writes by choosing the most predictable next phrase. 

This pattern creates the same rhythm, the structures, and the same “AI cadence” everyone can spot instantly.... (ie "it's not X, it's Y").

But if you tell the LLM to “sound human”, it is ineffective because the model simply picks more predictable language that fits that request.

So if you want the writing to feel human, you have to break the model’s probability loop.

You can start by forcing a specific voice instead of adjectives, ideally your own! 

Specifically named styles collapse the generic phrase pool and push the model out of autopilot.

Also, add oddly specific details that only a real person would mention.

Humans anchor to moments and specifics, while models default to generalities unless you pin them down.

Another tip is to create a running list of common phrases and structures that models lean on.

The goal is to eliminate the smooth, symmetrical phrasing that gives away AI-generated work.

In short, don’t ask the model to “be human.”

You give it constraints that make predictability impossible.

I’ve been rebuilding my content workflow inside Claude Code, and it’s already changing how I work.

I'm not technical, and kinda regret the initial apprehension about using a "coding" tool....ChatGPT and Claude are definitely sufficient to bridge that gap. 

The screenshot shows part of the system I’m building to turn raw transcripts into structured insight...it can be for a podcast, sales transcript, internal call, etc. 

The folders on the left are not code projects, but just steps in a system that turns raw thinking into structured content.

This is probably how we will all work in the near future, creating small agents to handle a specific part of the process. 

Using this repeatable logic saves time and creates consistency.

For example, one agent takes a podcast transcript and turns it into the things I actually need, like Title, description, time stamps, etc. 

Another agent applies the AEO lens. It looks at what parts of that transcript are extractable, highlights ideas that match the patterns LLMs tend to surface and the pieces that help a concept travel into AI search.

Another agent turns those insights into outlines and content plans. This is near automated and instantaneous, with better quality because the inputs are structured.

In short, Claude Code forces any repeatable task intoa workflow that runs the same way every time.

Still early, but this approach already produces clearer insights and cleaner AEO structure. It also gives me more confidence in the content I deliver for clients.

Google just dropped Gemini 3 and it finally understands the world the way we do.

It reads video, audio, images, movement, and text together as one coherent input.

It goes beyond pattern matching and actually reasons through what is happening in a clip.

You can upload any video and get a true breakdown of what is happening frame by frame.

I tested it by uploading a video of my basketball shot to see if it could analyze motion, timing, pace, and mechanics.

It gave me strengths, weaknesses, corrections, and a plan based only on a few short clips.

But if you want more helpful applications as a marketer: 

👉 You can upload your top ads and ask Gemini why they land, why others flop, and where creative fatigue is creeping in.

👉  You can upload competitor ads to get a precise breakdown of hooks, pacing, messaging gaps, and unique angles they are winning with.

👉  You can record your landing page and ask Gemini to identify friction points, confusing copy, layout issues, and missed opportunities.

👉  You can pair video with analytics and ask which frames or moments likely cause drop-off or bounce.

👉  You can upload sales call recordings and transcripts to surface objections, tone shifts, emotional cues, and coaching moments.

👉  You can upload a product demo from a competitor and get a structured comparison of positioning, missing claims, and angles you should counter.

This is the first time marketers can turn raw video into structured insights without manual review.

This is also a preview of how search and discovery will evolve as multimodal understanding becomes the default.

And yes, I have a long way to go to improve my basketball shot...when asked who my shot resembles, one name was Kevin Martin, historically one of the funkiest shots in league history 😂

I built a small AI agent this week that does something I used to do manually.

It watches what’s being posted on LinkedIn in a niche. 

It captures what gets engagement. 

Then it analyzes the post the way an LLM would. 

Topics, hooks, angle, and how the idea is structured.

The output lives in Airtable, so it’s not just “inspiration”, but actually queryable intelligence.

How it works: 
	•	Pulls posts from specific thought leaders in a topic area, for me that was AEO and AI marketing.
	•	Stores the original post link and basic context.
	•	Adds structured metadata so you can filter and learn patterns fast:
	•	topic cluster
	•	hook type
	•	content format
	•	angle
	•	engagement proxy

This "intelligence hub" is actually a way to build leverage too. 

I’m not a developer. The build is mostly just clarity on inputs and outputs.

The setup for this: 
	•	Apify collects the posts.
	•	Claude Code is the control layer. I describe what I want in natural language, and it generates the logic plus the structure.
	•	Airtable is memory. The hub gets smarter every time new posts land.

One underrated move: 

I asked Claude Code to design the Airtable schema first. It gave me the fields and field types. I pasted it into Airtable and the table was basically done in under a minute.

AI doesn't generate more net new content, but is used to replace: 
	•	manual research
	•	random ideation
	•	low-signal posting

With:
	•	a living dataset of what the market is rewarding
	•	repeatable patterns you can actually see and filter
	•	direction that compounds over time

Oh and also inside the agent, there is a sub-agent for things like:
	•	hook optimization
	•	voice consistency checks
	•	banned phrases and banned structures

That’s how you keep outputs on-brand instead of generic.

WHat other agents would be helpful to build out for marketers?

LLMs do not read your article in its entirety.

It slices it into small chunks and only keep the chunks that express a single idea with absolute clarity.

If a chunk is scattered, the model drops it. and conversely, if a chunk is clear, it becomes part of an answer.

Here are five simple ways to create content chunks that are valued by LLMs: 

- A definition.
- A set of steps.
- A comparison.
- A direct question and answer.
- A real example.

These formats survive chunking, get reused in answers, and scale your ideas without extra effort.

Long rambling paragraphs that feel smart but break into unusable pieces....this was my (cringey) writing style in college, seemed to make sense but is not valuable then, or now. 

Write in a way that makes your ideas easily extractable, for LLMs and your readers. 

One idea per chunk.
One chunk per format.
Five formats that consistently show up in AI answers.

That is the blueprint.

Google just made a quiet but important change to AI search.

When you search something in AI Mode, Google now includes WHY certain sources are relevant.... before it shows the links.

This is important and relevant because AI search is no longer just about ranking, or being mentioned or cited, but being explainable is now important. 

Google’s AI is literally telling users “Here’s why I trust these sources.”

Content that wins now is:
 • clearly scoped
 • structurally organized
 • explicit about the problem it solves
 • easy for an AI to summarize and justify

And generic content is harder to explain. Death to AI slop 😅 

So when creating content: 
- Write content AI can summarize in one sentence.
- Use definitions, steps, examples, and FAQs.
- Build content systems, not one-off posts.

Structure matters a lot for visibility in AI search, and this is one more step in that direction.

When marketing depends on you being online.

To a 2026 with better systems and AI agents. 😅

AirOps

Where leading brands win the battle for attention with content that both humans and agents love.

Duties:
- Own full funnel across marketing, growth, and pipeline generation; driving $XXM+ in qualified pipeline per quarter.
- Empower a million marketers to build in the AI century via training and educational resources; training 100+ “Superstar” content engineers to accelerate adoption.

Head of Growth & Builder Enablement

- Led GTM and marketing strategy, positioning AirOps as a category leader in AI-powered growth.
- Built multi-channel demand engine (SEO, outbound, ABM) to consistently exceed pipeline creation targets.
- Introduced structured experimentation cadence, running compounding growth experiments across SEO, Influencers and performance channels.

Head of Growth

Build AI-First

- Founded community for AI-first GTM operators, connecting 500+ builders shaping the architecture of next-gen growth teams.
- Share playbooks and experiments in public, documenting wins + failures to accelerate collective learning.
- Focus on building AI-driven GTM stacks and co-pilots that can 10–100x team impact across growth, ops, and enablement.

Telnyx

- Provide leadership, coaching, and management to a global team of 15+ to ensure performance, attainment of squad OKRs, and retention. 
- Project-managed website team of 4 developers through the refresh of the Telnyx brand and relaunch of telnyx.com
- Implemented a new lead lifecycle, scoring mechanism and routing engine increasing MQL to SQL conversion rates by 50% while increasing lead volume. 
- Kicked-off and generated the structure for developing company-wide, product-level activation data. Now used across the organization for decision making and product iterations.
- Improved utilization of ABM tooling (6Sense) resulting in 100%+ ROI through structured alignment with the sales team on outbound strategy and detailed custom reporting.
- Established data-driven decision-making across the marketing team, aligning each squad to customized dashboards that tracked progress toward OKRs.
- Drove a culture of consistent A/B testing across the website to optimize the lead journey, lead capture and attribution.

Head of Marketing

Responsible for overseeing Sales, Marketing and Revenue Operations.

- Responsible for generating and ensuring accuracy in Growth team (Sales, Marketing, Customer Success) and Cohort analysis data requested in fundraising data rooms. 
- Lead a team of 4 growth engineers which managed engineering automation for sales and marketing operations, developing team KPIs and exposing real-time metrics on dashboards.
- Centralized dataflows from siloed services in business intelligence tool to drive marketing and sales actions, aiding data-driven initiatives.
- Established standardized reporting across all functions on the sales team through multiple dashboards: Pipeline health, AE/SDR/BDR performance, Cohort Analysis, Revenue Analysis.
- Improved visibility around Customer Success team performance through standardized onboarding cohort reporting, tracking monthly attainment of revenue forecasts. 
- Aligned Marketing and the inbound sales team on Demand-Generation performance and insights through a singular, source-of-truth dashboard. Achieved through the aggregation of data from Marketo, Salesforce objects, Groove, and internal metrics which enabled us to better understand the MQL to SQL (Lead to Opportunity) process. 
- Designed and built custom workflows with Polytomic enabling the syncing of revenue and activation metrics on a per-user basis to Salesforce custom objects.
- Designed and implemented logic for a new customer lifecycle and lead routing engine, improving understanding of the customer buying journey. 
- Created structure within Salesforce to align with Global territory setup on the sales team. Standard objects were all enriched with State, Country and Region information leveraging enrichment tooling, and custom apex code using Telnyx number lookup. 
- Managed Salesforce instance as Administrator, building automation to improve workflows and manage company-wide permissions.

Growth Operations Manager

Telnyx provides a cloud-based platform that offers access to carrier grade voice services over the internet. We are focused on enabling a communication fabric for developers and platforms to integrate voice, messaging and other forms of rich communication into their applications and to facilitate that communication universally.


- Served as an Engineering resource to solve complex needs on the Growth team, initially specifically tasked with Growth Hacking around Internal Dashboards, Paid Marketing and SEO.
- Established correct syncing and data integrity between sales and marketing tooling including Salesforce, Marketo, Clearbit, Zoominfo, Chili Piper, Gong and Outreach.io.
- Created automated tracking of customer CAC, LTV and payback period by channel, generating reports for management and finance. Leveraged resulting data to plan, manage and reconcile advertising spend each month.
- Maintained and optimized an internal Python service that attributes customers to marketing channels using data tracked across company website leveraging Segment and Postgres data. 
- Improved lead scoring mechanism with Python and Airflow to automatically track and identify high potential leads based on behaviors
- Responsible for SEO activities; implemented SEO strategy, conducting audits informing content production and website re-architecture. Built Airflow data pipelines to track content performance and visitor intent.
- Built Salesforce integrations to enable accurate tracking of revenue, customers and sales opportunities within automated CRM reports. 
- Streamlined the sales process, enabling concurrent use of multiple prospecting tools and automation around outbound communications.
- Developed product marketing roadmap for SIP Trunking, and executed on demand-generation, feature optimization and product positioning initiatives.

Growth Engineer

RevGenius

RevGenius is a group of revenue-generating sales and marketing professionals brought together to learn, share, support, and grow with each other.

Member

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Revenue Operations Consultant

Aerogen

Aerogen is the world leader in acute care aerosol drug delivery. Aerogen's vibrating mesh aerosol drug delivery technology offers superior performance across all modalities. I work closely with the Chief Scientific Officer and Research & Development Manager to develop a launch strategy for a new product line:

• Gathered insights and requirements from customers and suppliers, including largest customer accounts and prospective customers
• Tested hypotheses about potential business models and growth in the intensive care unit and other hospital departments
• Created a comprehensive five-year financial model and business plan of the new product line

Business Development

I worked in the electronic department at Aerogen, the world leader in high performance aerosol drug delivery technology.
 
I was primarily involved in the electronic side of the research and development of nebulisers for numerous on-going projects.
 
Some of my tasks included:
• Automation of the electrical characterisation process of nebulisers
                 ○   Manual process using network analyser and LCR bridge simplified into an easy to use VBA GUI which handles all data entry and formatting
• Re-design of an Access Database to meet the current and up-to-date needs of the quality department
• Research, programming and board customisation on a board and nebuliser combination which can be used for the aerosolised delivery of medicine to the eye
• Create functioning controllers from individual components by following PCB layout files
• Research on the power consumption of a new nebuliser in development
• Construction of a basic electronic model of the washer, piezo and aperture plate design of the Solo II

Electronic & Computer Engineering Intern

I worked in the electronic department at Aerogen. I was primarily involved in the electronic side of the research and development of nebulisers for the Philips project.

Some of my tasks included:
•   Prepared code for controller going on clinical trials. 
•	Carried out proof of principle testing and investigations into any unexpected results. 
•   Electronic characterisation, vibrometry and flow rate testing of durable generators. 
•   Made and soldered leads for the testing rig and looked after the nebulisers during continuous testing cycles. 
•   Worked with controller PCB’s - Added on supplementary daughter boards and changed operating frequencies and voltages. 
•   Analysed the aperture plates for damage, discolouration and air pockets. 
•   Working with 3D printed models.
•   Report writing based on the testing carried out
•   Recording and processing data using Microsoft excel.

Electronic Student

Cúrsa Gramco

I worked as an assistant at an Irish course hosted in Galway City.
My main duties included:
• Conversing with students on the course and helping them to feel comfortable speaking in Irish.
• Carrying out practice Irish Oral examinations.
• Correcting in class work.
• Monitoring the yard at lunchtime and encouraging students to practice their Irish.
• Organisation of the class rooms and schedule each day.
• Preparation for a large table quiz on the last day including putting together the slideshows for the questions and creating the music rounds.

Cúntóir (Student Teacher)

State Examinations Commission

I worked as a Junior Certificate attendant for the State Examinations Commission of Ireland, from June 6th to 18th 2012.

This post involved making sure all of the students were seated in time for their exam in the test centre. If a student was not present, I was responsible for contacting the exam co-ordinator in the school to inform them of such.

Examination Attendant

Operator and builder at the intersection of growth, operations, and AI-first GTM.

I’ve scaled teams and revenue engines from early-stage through $100M+ ARR. At Telnyx, I built growth ops foundations (custom Salesforce objects, ABM ROI >100%, activation data across the org). At AirOps, I own growth & builder enablement—driving $XXM+ quarterly pipeline targets while assembling the best team of operators.

What I bring:
• Future-Proofing:  Aggregate the operator’s eye for leverage and the builder’s playbook
• Growth Leadership: Built and led global teams of 20+, aligned to dashboards & OKRs.
• Ops & Enablement: Designed revenue engines, lead routing, lifecycle scoring, automated reporting—cutting hours of manual data pulls.
• AI-First GTM: Founder of Build AI-First, community for scaling GTM teams in the AI century.

Message me for a conversation on scaling GTM, RevOps, or strategy functions in SaaS companies.

Eoin Clancy

We're hiring a "cracked" GTM Engineer.

That means someone who wants to:
- move fast
- help build our growth machine
- win

If that's you, I'd love a conversation.

Tag the best GTME you know. 

My inbox is open, or find my phone number and send me the best demo you have.

Calling Chicago Growth and Marketing pros

Winter is well and truly here….but

I’ve assembled some of the best in SEO/AI Search for an exclusive meetup that’s worth braving the cold for.

I have 2 remaining spots at our dinner next Tuesday evening.

If you’d like to spend time with some of the best best leaders across SEO, Content and Marketing hit me up!

(I can promise there’ll be no Malort!)

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