← Back to browse

Modigy

Launched 2021-Q1via Nathan Latka Podcast
See all SaaS companies using enterprise direct sales
ARR$1.7M
Growthenterprise direct sales
Pricingsubscription
The Spark

Modigy was born from a simple but painful observation: 40% of the contact data that B2B sales reps use to prospect is inaccurate. This stat isn't theoretical—it's a productivity killer. A sales team of 10 SDRs costing $1M annually loses $400K to bad data alone. The founder, who had spent years in sales leadership dealing with hundreds of millions in deals, saw an opportunity to build something every B2B organization desperately needs but wasn't getting from existing tools.

Building the First Version

The company started as a services business in 2020 before launching its product in Q1 2021. Rather than build yet another standalone tool, the founder made a strategic decision to sit inside Salesforce as a managed package. This was intentional de-risking for customers—no new tool to learn, no change management hassle, just data cleaning integrated into the workflow salespeople already use. The founder was determined to be present at every software installation (which takes two hours) to get direct feedback and iterate the product.

Finding the First Customers

With zero dollars spent on marketing and no brand recognition, the founder had to get creative. He focused on removing buyer friction and proving value empirically. The company started upstream, targeting enterprise companies worth over $1B rather than startups. One example: a $25B cloud services company discovered they had only 28% mobile phone coverage when they thought it was much higher. That "blood test" diagnostic became their secret weapon—a free analysis showing the exact impact of bad data on a company's sales machine. With just two people selling (the founder and his co-founder), they generated $1.7M in ARR by the end of 2021. Later, they built an ambassador program with 12 top LinkedIn influencers promoting the data diagnostic, further reducing the need for traditional marketing.

What Worked (and What Didn't)

The founder stayed obsessed with profitability from day one. The three-person founding team (CEO, CRO, and COO) functioned like a Swiss Army knife, with significant overlap in responsibilities—all three participated in innovation, two focused on sales and lead gen, and the COO managed product, tech, and customer success. Instead of raising VC, the founder hired strategic advisors with deep expertise: a former Google lead technologist, a telecom president (for mobile data), an attorney from SAP and DocuSign, and advisors from Ring Central and Lacework. This outsourced expertise at a lower cost than full-time hires.

Customer acquisition tactics included getting creative with deal structures—offering 3-month contracts with specific performance metrics to de-risk adoption, and even splitting a $150K deal into two $99,999 POs to avoid procurement delays. They proved ROI obsessively: one use case showed a 2200% ROI. They also took smaller $25-50K deals to get customer insertions, then earned the rest through customer success and upsells.

Where They Are Now

Modigy was profitable in 2021 and 2022, a rarity for early-stage SaaS. The founder is projecting $3-4M in EBITDA over the next two years without external funding. The company has just hired its first dedicated salesperson and first customer success manager, preparing to scale beyond founder-led sales. The 12 ambassadors are generating inbound interest. The founder's philosophy remains consistent: be a need-to-have, lower barriers to entry, do everything for your customer, and find your version of escape velocity—something unique that everyone needs.

Why It Worked
  • The founder identified a high-impact, quantifiable problem (40% bad contact data costing enterprises hundreds of thousands annually) that created urgent economic pressure for large organizations to buy rather than build solutions themselves.
  • By embedding the product as a Salesforce managed package rather than a standalone tool, Modigy eliminated the primary friction point in enterprise software adoption—workflow disruption and change management—making it effortless for sales teams to adopt.
  • The founder's empirical 'blood test' diagnostic approach converted skeptical prospects into believers by showing them their exact data quality gap with concrete metrics, turning the sales process from persuasion into proof.
  • Targeting enterprise companies worth over $1B rather than startups meant dealing with larger budgets, higher pain tolerance for inefficiency, and customers who could afford premium pricing while being less price-sensitive than smaller organizations.
  • The obsession with profitability and a lean three-person founding team executing all functions prevented cash burn from outpacing revenue growth, enabling sustainable scaling without dilutive venture funding.
How to Replicate
  • 1.Identify a quantifiable productivity loss in your target market (use industry research, customer interviews, or financial benchmarks) that translates into specific dollar amounts lost per employee per year.
  • 2.Design your product to integrate into an existing workflow tool your customers already use daily rather than requiring them to switch contexts or adopt a new platform.
  • 3.Create a free diagnostic or audit that reveals the exact magnitude of the problem for a specific prospect using their own data, then use this as your primary sales asset instead of generic marketing collateral.
  • 4.Start sales conversations directly with founder outreach to enterprise companies (1B+ revenue) and structure initial contracts with short terms (3 months) tied to specific performance metrics to reduce perceived risk for the buyer.
  • 5.Hire strategic advisors with deep domain expertise in areas critical to your product rather than adding full-time employees, and allocate founding team members to wear multiple hats across sales, product, and operations.

Similar Companies

247.ai

$25.0M/mo

247.ai, founded by PV Cannon in 2000, is an AI-powered customer service automation platform serving over 150 enterprise customers with $300M+ in ARR. The company raised only $20M from Sequoia (2003) and bootstrap, achieving 10% net profit margins while maintaining a 12-month CAC payback period and 100% net revenue retention. Despite a security breach setback around 2018, 247.ai has recovered and recently achieved 20% new revenue booking growth in their best quarter.

iCIMS

$13.3M/mo

iCIMS is a bootstrapped SaaS provider founded in 1999 that dominates the talent acquisition software market as the #2 player, serving 3,500 enterprise customers with an average monthly spend of $4,000. The company exited 2017 with $160M ARR and is targeting 25%+ annual growth while maintaining profitability, recently acquiring Text Recruit to expand into candidate messaging and recruitment advertising.

Zoom

$12.0M/mo

Zoom is a freemium SaaS video conferencing platform founded by Eric Yuan in July 2011 after he left Cisco to build a next-generation collaboration solution. The company has grown to 850,000+ paying customers across individual, SMB, and enterprise segments, generating over $12M in monthly recurring revenue with approximately 100% year-over-year growth. Rather than focusing on customer stickiness or aggressive growth targets, Zoom emphasizes customer happiness and organic word-of-mouth acquisition, which has proven highly effective in driving viral adoption.

Madwire

$10.0M/mo

Madwire is a comprehensive SaaS platform for small businesses (1-100 employees) that combines CRM, payments, invoicing, billing, e-commerce, and multi-channel marketing tools in a single platform. Founded in 2009, the company has grown to $120M ARR serving 20,000 customers with an average revenue per user of $500/month, while maintaining strong unit economics ($3,000-$4,000 CAC with 3-month payback) and recently turning profitable with a focus on reaching 15-20% EBITDA margins. The company is exploring an IPO within 12-18 months without having raised substantial capital beyond an initial $7.5M.

SwiftPage

$7.0M/mo

SwiftPage is a CRM and marketing automation platform founded in 2001 that targets small businesses. Under CEO John Oshel's leadership since 2012, the company scaled from 60,000 customers with $26.2M revenue in 2015 to 84,000 customers today with an estimated ARR of $36M+, maintaining 1.5% monthly logo churn and a 6-7 month payback period with a sub-$500 CAC.

Related Guides