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From PLG to Multi-Threaded Growth: Why Product-Led Growth Alone Won’t Cut It Anymore
Read time: 3 minutes.
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.
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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:
Sales-Assisted Growth: Adding SDRs & AEs to convert high-value leads.
Marketing-Led Growth: Using demand generation and outbound campaigns.
Community & Network Effects: Leveraging referrals and ecosystem partnerships.
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
Start with PLG, but don’t stop there. Use it as the foundation, not the entire GTM strategy.
Layer in sales assist for high-value conversions. Don’t leave money on the table.
Invest in demand generation & outbound marketing. Organic growth alone isn’t enough.
Build community-driven growth & ecosystem integrations. Reduce churn and increase network effects.
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