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From PLG to Multi-Threaded Growth: Why Product-Led Growth Alone Won’t Cut It Anymore

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Welcome to the 103rd edition of The Growth Elements Newsletter. Every Monday and sometimes on Thursday, I write an essay on growth metrics & experiments and business case studies.

Today’s piece is for 7,000+ founders, operators, and leaders from businesses such as Shopify, Google, Razorpay, Hubspot, Browserstack, Zoho, Freshworks, Darwinbox, Servcorp, Zomato, Postman and Swiggy.

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Product-led growth has been the dominant strategy for many SaaS startups over the last decade.

The playbook was simple: offer a frictionless self-serve product, drive viral adoption, and scale through organic referrals.

Companies like Slack, Zoom, and Notion thrived on this model.

But in 2025, the landscape has changed.

  • Customer acquisition costs (CAC) are rising. Organic channels are saturated, and paid ads are less effective.

  • PLG-driven companies struggle with monetization. Free users don’t always convert, and expansion revenue is unpredictable.

  • Enterprise deals require human touchpoints. Mid-market and enterprise customers expect deeper engagement beyond self-serve.

Startups that depend solely on PLG are seeing slower growth, lower retention, and weaker revenue expansion compared to those that layer on multiple growth motions.

What Is Multi-Threaded Growth?

Multi-threaded growth is an integrated strategy that combines PLG with:

  1. Sales-Assisted Growth: Adding SDRs & AEs to convert high-value leads.

  2. Marketing-Led Growth: Using demand generation and outbound campaigns.

  3. Community & Network Effects: Leveraging referrals and ecosystem partnerships.

  4. AI-Driven Growth Optimization: Automating onboarding, segmentation, and expansion.

Instead of relying on one engine, high-growth startups run multiple GTM motions in parallel.

The New Growth Framework: PLG + Sales + Marketing + AI

[1] PLG as the Entry Point, Not the Only Engine

PLG still works, but only as a starting point.

  • Free trials and freemium remain powerful top-of-funnel (TOFU) drivers.

  • But to scale, companies must actively convert, not just wait for users to upgrade.

[2] Sales-Assisted Expansion: Monetizing the Free Users

Companies that layer in sales-assisted motions see faster revenue expansion.

  • Identify high-intent users using product analytics.

  • Route qualified leads to SDRs or Account Executives (AEs).

  • Offer white-glove onboarding to maximize conversions.

PLG vs. Sales-Assisted Growth

PLG-Only

PLG + Sales

Lead Qualification

Self-serve

AI-driven lead scoring & SDR outreach

Conversion Rate

Lower

Higher due to direct engagement

Deal Size

Smaller

Larger (Enterprise & Mid-Market)

Customer Retention

Moderate

Stronger due to personalized onboarding

Example: Figma started as purely PLG but built an enterprise sales team to close six-figure deals with companies like Microsoft.

[3] Marketing-Led Growth: Capturing Demand Beyond Word-of-Mouth

PLG companies often assume organic virality is enough. It’s not.

  • Paid acquisition (PPC, Meta and LinkedIn Ads) can accelerate user adoption.

  • SEO & content marketing establish long-term inbound demand.

  • ABM (Account-Based Marketing) nurtures enterprise-level deals.

Marketing Strategies

Impact on PLG

Content Marketing

Increases inbound leads, supports organic growth

Paid Advertising

Scales user acquisition beyond referrals

ABM Campaigns

Converts high-value enterprise leads

Example: HubSpot shifted from 100% inbound to layering in ABM & outbound sales, dramatically increasing ACV (Annual Contract Value).

[4] Community-Led & Network Effects: Building a Moat

The best growth engines are self-reinforcing.

  • Private communities drive brand loyalty and referrals.

  • Marketplace & ecosystem integrations increase switching costs.

  • Network effects turn users into growth drivers.

Network Effects in Growth

Example

Direct Network Effect

More users = more value (Slack, WhatsApp)

Indirect Network Effect

Platform integrations increase utility (Zapier, Notion)

Community-Led Growth

User-generated content drives adoption (Webflow, Figma)

Example: Notion’s community-driven growth fuels viral expansion and user retention.

[5] AI-Driven Growth: Automating & Scaling Expansion

AI is transforming how startups acquire and retain customers.

  • AI-powered onboarding reduces time-to-value.

  • Predictive analytics identifies users likely to upgrade.

  • Chatbots & automation lower sales and support costs.

AI in Growth

Impact on SaaS Companies

AI-Powered Onboarding

Faster activation, lower churn

Predictive Lead Scoring

Higher conversion rates

Automated Customer Support

Scales without increasing costs

Example: Calendly uses AI-driven personalization to improve conversion rates and expansion revenue.

Why Multi-Threaded Growth Wins

Startups that scale in 2025 will master GTM diversification. Here’s why:

Strategy

Pros

Cons

PLG-Only

Low acquisition cost, fast adoption

Slow monetization, weak enterprise growth

PLG + Sales

Higher conversion rates, bigger deals

Requires SDR/AE investment

PLG + Marketing

Scalable demand gen, lower CAC over time

Higher upfront cost for paid campaigns

PLG + AI

Automated scalability, better retention

Needs strong AI/data capabilities

Multi-Threaded Growth

Balanced acquisition, retention, and expansion

More complex to execute

Final Words

  1. Start with PLG, but don’t stop there. Use it as the foundation, not the entire GTM strategy.

  2. Layer in sales assist for high-value conversions. Don’t leave money on the table.

  3. Invest in demand generation & outbound marketing. Organic growth alone isn’t enough.

  4. Build community-driven growth & ecosystem integrations. Reduce churn and increase network effects.

  5. Use AI to automate and scale efficiently. AI-driven insights will optimize retention and revenue expansion.

The best SaaS startups no longer rely on a single-threaded growth model.

The future is multi-threaded, combining PLG, sales, marketing, community, and AI for sustainable, scalable growth.

That's it for today's article! I hope you found this essay insightful.

Wishing you a productive week ahead!

I always appreciate you reading.

Thanks,
Chintankumar Maisuria