Demand House

Founder

MASS

Analyst working on defence projects in collaboration with US Gov and Applied Physics Laboratory.

Analyst

Engineer across design, construction, commissioning and operations.

Engineer

CEO @ Conversion House 🏠 | On-demand design for small SaaS marketing teams so they can launch faster, position better and convert more.

Are you a SaaS / tech startup between $500k and $3M ARR with high retention, but low ARR growth?

If the answer is yes, then acquisition is the bottleneck. 

If we dig a little bit deeper, it's because you don't have a system for generating consistent pipeline.

In other words, you're too dependent on referrals and inbound (Spoiler: Hope is not a strategy).

The solution? Allbound:
→ Hyper-targeted outreach fills pipeline today.
→ Scroll-stopping content fills pipeline tomorrow.
→ Together, results multiply.

Want to learn more about allbound?
→ Visit my website: https://www.demandhouse.agency/
→ Subscribe to my newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7307333213792665600
→ Subscribe to my YouTube channel: https://www.youtube.com/@demand-house

Joe Wheatley

The best GTM principle → Create abundance where there is scarcity

Credit goes to Santosh Sharan for this one!

Before ZoomInfo, B2B data was locked behind Dun & Bradstreet at $100K/year. Only the IBMs of the world could access it.

ZoomInfo dropped that to $5K/year and went from $10M to $100M (abundance for SMBs)

Then Apollo arrived and made B2B data available for under $100/mo (abundance for everyone)

Each time, data was scarce for a lower segment of the market
A company noticed → made it abundant → their growth exploded

The cycle repeats over and over. Scarcity becomes abundance. Winners look for new scarcity.

And when data becomes fully abundant (thanks Apollo) the old playbooks stop working (goodbye spray and pray). That's why the industry has shifted towards signals. 

Tools like:

- Clay
- Freckle.io
- BirdDog
- Signalbase (Previously LeadsOnTrees)

So the real money question: What’s scarce now, and what will be scarce next?

That’s where the opportunity lies.

Joe Wheatley 🏠

Founder @ Demand House | Intelligent outbound for B2B SaaS | Trusted by Warmly, Summize & Coefficient

Proof that cold outbound isn't dead, and remains the BEST channel for building predictable pipeline

Last week we sent 1,800 emails across 3 campaigns (roughly 600 leads contacted)

Reply rates between 5.7-10.6%

5 opportunities

See for yourself.

Given we only just started running outbound for ourselves (started in 2026), with only 10 secondary inboxes, I'd say this is a damn good start

Before you say outbound is dead, think again!

You need to give the recipient a reason to reply (value).

Then you need to deliver on this value and offer more value to get the call.

But most don't offer real value, and then complain no one responds. Why would they?

Others give value to the wrong people. Your fault you've got a bad list.

Also - stop relying on marketing / content as your savior. It's a long-term play that should consume 20% of your efforts max. 80% should be on near-term pipeline aka. outbound.

If you put in the work to build the right list and offer (and you deliver on your promises), you will win.

Building Curacity's top 100 prospects in 10 minutes:

1 / What they do
Demand creation platform where hotels create content, Curacity distributes to premium publishers (Travel + Leisure, Condé Nast Traveler, etc.) to drive bookings and revenue

2 / Define ICP by analyzing best customers
50% small chains (8-14 properties), 33% independent (1 property), 67% US-focused, 83% hotels

3 / Identify buyer personas
CMOs, VP Marketing, Director of Marketing, VP Revenue Management (decision makers) + Marketing Managers, Brand Managers, Revenue Managers (champions)

4 / Identify key signals
Rapid growth (headcount/revenue), hiring for marketing manager, new CMO/VP Marketing, new property launches, rebranding, recent funding/acquisition, performance issues (low direct bookings, declining occupancy)

5 / Find leads in Apollo
Filter by marketing roles, C-suite/VP/Director level, company lookalikes (Viceroy Hotels, Virgin Hotels), US location, 200-1,000 employees, hotels/hospitality industry, layer on signals

6 / Import to Freckle / Clay
Combine 4 signal lists from Apollo (lookalike + rapid growth, lookalike + hiring, rapid growth, hiring) and import to Freckle/Clay

7 / Validate emails
Zero Bounce for validation, Bounce Ban for catch-all verification

8 / Enrich with phone numbers

9 / Verify ICP + buyer persona match
Is company ICP? Is person decision-maker? Remove leads that don't match both

10 / Build messaging
Rapid growth: "Growing team = need revenue to support payroll, explore new marketing channels?" / Hiring: "What are new marketing manager's priorities? Open to exploring new channels?"

Result: 94 verified top hotel decision-makers ready for multichannel outreach to drive Curacity sales

Top 100 Prospects in 10 Minutes for Blink (Employee Engagement Platform)

- Determine ICP based on best customers
- Map TAM & signals
- Build tiering system
- Find leads in Apollo
- Enrich, validate and filter in Freckle (or Clay)
- Build messaging relevant to signal (observation), ICP and persona

Frank Sondors 🥓 is literally the 🐐 of startup sales (he books 500 demos per month and scaled Salesforge.ai 🔥 from $0-$3M in less than 1 year)

When building a team, he said to start off with 2 reps
(Do not hire from big corporate like Google - wrong mindset)

And then he talked about how to acquire customers. It's not about one channel, it's about multi-channels working together.

Get data, test & iterate.

He also spoke about why you need to track first touch and last touch attribution

And finally, how to warm-up prospects before booking the demo

Head over to Frank's profile now and follow him. The guy to watch in 2026

We're getting more positive replies than we can handle.

Here's one example:

- Reached out to someone who just joined a 7/8 figure SaaS as Head of Sales
- Asked how the role was going (be human!)
- Offered genuine value

Outbound works when you do it better than everyone else.

Step 1 - Offer value to get the reply 
Step 2 - Offer value to get the call/audit

If you offer what they actually want and deliver on it, you'll win. Simple.

Srva

A B2C2C AI app auto-builder. Simple enough that my grandparents could use it (they are my main play testers). The waitlist is now live.

https://www.srva.ai/

NeuralSeek

I’ve stepped into a leadership role at NeuralSeek responsible for driving growth through every lever available: expanding channels, key deals, building OEM partnerships, shaping our VC model, engaged in fundraising efforts and leading brand strategy.

Partner

At NeuralSeek, I shaped growth strategy across marketing, sales, and strategic partnerships to scale our impact in the AI landscape. I’m focused on:
🚀 Developing and executing go-to-market strategies
🤝 Building strategic partnerships with AWS and niche consulting firms
📈 Driving demand generation and revenue operations
🔑 Aligning cross-functional teams to accelerate growth

Head of Growth

MENTORO

Ever felt completely lost in your career and unsure of your next move?

I know I couldn’t have made the leap from corporate to startup without the guidance of key mentors and friends who had walked the path before me. Their perspective and encouragement made all the difference.

That’s why I’m so passionate about giving back and why the MENTORO Miami Mentorship program in Data, AI & Tech was an easy 'yes' to participate in. It’s about creating the same kind of support system for others navigating their own crossroads.

If you’re in Miami and you’re looking to break into this Data, AI & Tech this is your LAST chance to apply.

⏳ Deadline extended to September 8, 2025
✅ You’ll be matched with incredible mentors who’ve been where you are
🚀 You’ll gain perspective and support for your next chapter

I wish I had something like this earlier in my career and I’m grateful I now get to pay it forward.

👉 Learn more and meet the mentors here:
https://mentoro.co/miami_dataaitech2025/

Mentor

Pavilion

Learning best GTM practices from the best in GTM.

Executive Member - GTM Leader Track

Managed relationship and grows alignment of IBM’s Data & AI Software, Consulting, and Strategic Engagements across the entirety of Morgan Stanley’s business including Risk Management, Institutional Securities Group, Wealth Management, and Enterprise IT. Heavy focus on the positioning of IBM’s Gen AI &amp; LLM technology to drive value towards Morgan Stanley’s initiatives.

Data & AI Executive - Financial Services, Dedicated to Morgan Stanley

MuleSoft

I oversaw and drove the strategic adoption and growth of MuleSoft - a market leading APIM + iPaaS integration solution. Helped my client connect SaaS & enterprise applications in the cloud and on-premise via a 3-tiered API infrastructure.

Senior Account Executive

SME in IBM's Collect --> Organize --> Analyze data philosophy 

Collect
- Cloud Database Management System
- Streaming Analytics
- Data Management for Analytics

Organize
- Data Quality Solution
- Enterprise Data Fabric
- Metadata Management Solutions

Analyze
- Data Science and ML Platform (Beginner platform)
- Data Science and ML Platform (Advanced platform)
- Multimodel Predictive Analytics and ML

Data & AI Account Executive

Analytics Specialist

Summit Program

TD Ameritrade

• Assist in TD Bank Relationship daily operations

• Complete various projects regarding many different aspects of the business

• Participate in TD Ameritrade's Investools and ThinkorSwim trading platform to gain financial skills and knowledge

Retail Sales Operations Intern

Colby College

• Help students with projects and studying for a range of computer science classes

• Work primarily with Python and Java, with a focus on data structures

Computer Science Tutor

Mobiquity Networks

• Assisting in the development/testing of the team's PhoneGap plugin for both Android and IOS

• Additionally Developing a version 1.0 Android Phone Application of Mobiquity Mall using Android Studio.

• Generating Test Scripts and working with SoapUI to test the existing Mobiquity Networks panel website in order to help with the development of the 2.0 version

Application Developer/Tester, Website Tester

For years, I climbed the ranks in sales, mastered the game, and hit the milestones that were supposed to feel like “success.” But something was missing.

I didn’t want to just sell. I wanted to build.

That realization led me to NeuralSeek, where I took a leap into the most competitive space on the planet: AI. 

Now, I’m helping NeuralSeek bring real AI solutions to businesses that need more than just hype.

What NeuralSeek Does:

NeuralSeek isn’t another AI tool. It’s a decision-making AI platform built for companies that need speed, simplicity, and security.

🔹 AI Agents that actually deliver – Automate workflows, optimize sales, enhance knowledge management.

🔹 mAIstro: AI deployment in minutes, not months – Converts text prompts into fully functional AI workflows and Python code.

🔹 Enterprise-ready security & compliance – Trusted by Verizon, Adobe, Snapchat, and NatWest Bank.

🔹 No-code, intuitive UI – Build complex AI workflows with drag-and-drop ease.

🔹 Scalable AI orchestration – Deploy multiple AI agents across different use cases.

Want to see how NeuralSeek is changing the game? Visit NeuralSeek.com

taplio

The Battle

Joe Wheatley

Lawrence Patrizio

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The Battle

Joe Wheatley

Lawrence Patrizio

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Joe Wheatley's LinkedIn Performance

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