Demand Gen Playbook for PLG Companies
Product-led growth doesn't mean marketing-free growth. Learn when and how to layer demand gen on top of your PLG motion to accelerate expansion and capture enterprise deals.
3-5x
PQL vs MQL Conversion
60%
Budget to Bottom-Funnel
25%
Target Activation Rate
$25K
ACV Threshold for Demo CTA
Our take
PLG isn't "no sales" — it's a different sales motion. Product signals (activation, feature usage, team size) are lead signals, and the right PQL converts 3-5x better than an MQL. The job of marketing in a PLG company is to identify which free users to help upgrade, not to generate more form fills.
See the case for middle-of-funnel marketing and you're not Nike, and that's the point.
42's PLG Demand Gen Take
PLG doesn't mean "no marketing." It means different marketing. Your free users are your best leads. The job is identifying which ones to help upgrade, not blasting them with sales emails.
The biggest mistake we see: treating PLG users like traditional leads. Sales calling a free user who signed up yesterday kills trust and conversion. PLG marketing is about PQL identification, not MQL generation. Focus on in-product signals over form fills.
The 3 segments that matter: Free explorers (nurture with product education), Active users (surface upgrade value), Power users approaching limits (sales-ready).
From building demand gen for PLG companies like Notion, Figma, and Miro - 42 Agency
The Key Shift: In PLG, marketing's job is to get users to the "aha moment" faster and to identify which accounts are ready for sales conversation. You're not creating demand - you're accelerating it.
42's Take: The success metric in PLG demand gen is upgrade rate, not lead volume. If your team is celebrating "10,000 free signups this month" but only 50 converted, you're optimizing for the wrong thing. We'd rather see 2,000 qualified signups with 200 upgrades.
When PLG Companies Need Demand Gen
Not every PLG company needs marketing spend. But most will eventually. Here's when to invest:
| Trigger | Signal | Demand Gen Response |
|---|---|---|
| Growth Plateau | Self-serve signups flatline below $10M ARR | Top-funnel awareness + competitor conquesting |
| Expansion Ceiling | Free users don't convert or expand to team | In-app marketing + upgrade nurture sequences |
| Enterprise Tier Launch | New high-ACV tier requires sales motion | ABM + enterprise content + demo campaigns |
| Competitive Pressure | Competitors capturing search and social | Brand campaigns + comparison content |
| TAM Exhaustion | Organic channels tapped out | Paid channels to reach new segments |
Rule of Thumb: If you're under $5M ARR with strong organic growth, invest in product not marketing. Above $10M ARR, demand gen becomes essential for continued growth velocity.
42's Take: The #1 mistake we see is PLG companies hiring a "demand gen lead" and running the same playbook as their sales-led competitors - content syndication, gated ebooks, BDR outbound to every signup. This actively hurts PLG. Instead, hire someone who understands product analytics and can build PQL models.
Identifying PQLs from Usage Data
A Product Qualified Lead (PQL) is a user or account showing buying intent through product behavior. PQLs convert at 3-5x the rate of traditional MQLs because the product has already proven value.
PQL Signal Categories
| Signal Type | Examples | Weight |
|---|---|---|
| Activation Milestones | Completed onboarding, used core feature 3+ times, achieved first success | High |
| Engagement Depth | Daily active usage, 10+ sessions in 14 days, multiple features adopted | High |
| Team Expansion | Invited 3+ teammates, created shared workspace, admin role assigned | High |
| Upgrade Indicators | Hit usage limits, viewed pricing in-app, tried locked features | Very High |
| Account Signals | Multiple users from same domain, enterprise email domain, known target account | Medium |
Building Your PQL Model
- Export conversion data: Pull all accounts that converted to paid in the last 6 months with their product usage history
- Identify patterns: What actions appeared before conversion? What was the time-to-conversion?
- Score behaviors: Weight each signal by its correlation to conversion
- Set threshold: PQL threshold should capture accounts with 20%+ conversion rate
- Operationalize: Push PQL status to your CRM for sales follow-up
Example PQL Definition: Account has (1) completed onboarding AND (2) used core feature 5+ times AND (3) either invited a teammate OR viewed pricing page. This combination predicts 25% conversion to paid within 14 days.
42's Take: Most PLG companies over-engineer their PQL model. Start simple: "used the product 3+ times in the last 7 days AND viewed pricing." That's it. You can add complexity later, but 80% of the value comes from basic activation + pricing page visit signals. Don't let "we need more data" delay your PQL program for 6 months.
Paid Strategy for PLG Companies
PLG paid strategy should be bottom-funnel focused. You're not creating awareness from scratch - you're accelerating intent that already exists.
Budget Allocation Framework
| Channel Category | Budget % | Objective |
|---|---|---|
| Competitor Conquesting | 25-30% | Capture users actively searching for alternatives |
| Retargeting (Activated Users) | 20-25% | Nudge activated free users toward upgrade |
| Retargeting (Non-Activated) | 10-15% | Re-engage signups who didn't activate |
| Lookalike Audiences | 15-20% | Find users similar to your best customers |
| Brand Awareness | 10-15% | Stay top-of-mind in competitive market |
What NOT to Do
- Content syndication: Gated ebook downloads drive low-intent MQLs that don't convert in PLG
- Top-funnel awareness: PLG products should acquire users through product, not ads
- Demo request campaigns for SMB: Let SMB users self-serve - don't add friction
- Generic lead gen: Measuring success by lead volume instead of activation rate
Competitor Conquesting Tactics
| Channel | Tactic | Expected CPA |
|---|---|---|
| Google Ads | Bid on "[Competitor] alternative", "[Competitor] vs", "[Competitor] pricing" | $50-150 (high-intent signup) |
| Target users of competitor's LinkedIn page, competitor employee connections | $100-200 (signup) | |
| Review Sites | Sponsor comparison listings on G2, Capterra, TrustRadius | $75-175 (high-intent signup) |
PLG Paid Metric: Don't measure cost per lead. Measure cost per activated user and cost per PQL. A $200 CAC for an activated user beats a $50 CAC for a signup who never logs in.
42's Take: We've audited dozens of PLG company ad accounts. The pattern is always the same: 70% of budget going to top-funnel "brand awareness" campaigns that drive signups but zero activations. Flip it. Put 60%+ into retargeting users who already signed up but haven't activated or upgraded. That's where the ROI is.
Content Strategy for PLG
PLG content should drive product adoption, not just awareness. Every piece should make users more successful in your product.
Content Priority Stack
| Priority | Content Type | Purpose | CTA |
|---|---|---|---|
| 1 | Use Case Tutorials | Show product solving specific problems step-by-step | Start Free |
| 2 | Comparison Pages | Detailed feature comparisons vs each competitor | Start Free |
| 3 | Integration Guides | How to connect your product with ecosystem tools | Start Free |
| 4 | Customer Success Stories | Specific metrics and outcomes from real customers | Start Free |
| 5 | Product Changelog | Highlight new capabilities for re-engagement | Try New Feature |
Product-Led Content Rules
- Embed product: Every content piece should include screenshots, GIFs, or interactive demos
- Show, don't tell: Don't describe features - show them solving real problems
- Product CTA always: End with "Start Free" or "Try It Yourself", not "Contact Sales"
- Template-ize: Provide downloadable templates users can import into your product
- SEO for use cases: Target "how to [use case]" keywords, not "what is [category]" keywords
Anti-Pattern: PLG companies often create sales-led content by default (whitepapers, ebooks, industry reports). This content captures emails but doesn't drive product adoption. Reserve gated content for enterprise ABM only.
CTA Strategy: Signup vs Demo vs Contact Sales
PLG companies often struggle with CTA strategy. When do you push to self-serve vs sales? Here's the framework:
CTA by Segment
| Segment | Characteristics | Primary CTA | Secondary CTA |
|---|---|---|---|
| Self-Serve | SMB, individual users, developers, startups | Start Free / Get Started Free | None (don't add friction) |
| Mid-Market | 100-500 employees, team use case | Start Free Trial | Talk to Sales (small link) |
| Enterprise | 500+ employees, complex requirements, >$25K ACV | Contact Sales / Request Demo | Start Free (for evaluation) |
CTA Placement Strategy
- Homepage: Dual CTA with "Start Free" primary and "Talk to Sales" secondary
- Pricing Page: "Start Free" for self-serve tiers, "Contact Sales" for enterprise tier
- Product Pages: Always "Start Free" - let the product sell itself
- Blog/Content: "Start Free" in-line CTAs, not demo requests
- Enterprise Page: "Request Demo" or "Contact Sales" with enterprise value props
Smart CTA Implementation
Use company enrichment to show the right CTA automatically:
- Use Clearbit Reveal or similar to identify visitor company
- If company size >500 employees: Show "Request Demo" as primary
- If company size <500 employees: Show "Start Free" as primary
- If returning visitor with free account: Show "Upgrade" or feature-specific CTA
Golden Rule: Never gate the free product behind a demo. Let users experience value first. Sales conversations should happen after product validation, not before.
42's Take: We see PLG companies sabotage themselves by adding "Book a Demo" as the primary CTA because their sales team complained about lead volume. This is backwards. If your free users aren't converting, the problem is activation or product-market fit - not lack of sales calls. Adding friction to signup destroys the PLG flywheel.
ABM for PLG Enterprise Motion
Many PLG companies add an enterprise tier that requires sales-assisted motion. Here's how to run ABM without breaking your PLG model.
Identifying Enterprise Targets from Product Data
| Signal | What It Indicates | Action |
|---|---|---|
| Multiple users, same domain | Organic adoption within company | Add to target account list for consolidation play |
| Enterprise email domain | Large company exploring solution | Enrich company data, prioritize for outreach |
| Security/compliance questions | Enterprise procurement in progress | Route to enterprise sales immediately |
| Enterprise feature requests | Need capabilities beyond free tier | Product-led outreach with feature roadmap |
| Usage hitting limits | Ready for paid tier or expansion | In-app upgrade prompts + sales outreach |
PLG-Compatible ABM Tactics
- Account-based advertising: Run LinkedIn/display ads to buying committee at target accounts after user activation
- Multi-threaded outreach: When one user activates, reach out to other stakeholders at the company
- Executive briefings: Offer executive-level conversations after product adoption proves value
- Custom onboarding: For target accounts, provide white-glove onboarding even on free tier
- Enterprise content: Create account-specific content addressing their industry/use case
Enterprise Value Props (Different from SMB)
SMB Value Props
- Easy to get started
- No credit card required
- Affordable pricing
- Self-serve support
- Simple, intuitive UI
Enterprise Value Props
- SSO/SAML integration
- SOC 2 / GDPR compliance
- Admin controls & audit logs
- Dedicated success manager
- Custom SLAs & contracts
PLG + ABM Sequence: User signs up (PLG) -> User activates (PQL) -> Identify company (enrichment) -> If target account, add to ABM campaign -> Multi-thread to buying committee -> Sales assists expansion deal
Attribution Challenges in PLG
PLG attribution is inherently complex because the product is both an acquisition channel and the conversion mechanism. Here's how to think about it:
The PLG Attribution Problem
- Many conversions have zero marketing touchpoints - user found product via word-of-mouth or organic
- Product usage IS the conversion event, not a form fill or sales call
- Time from signup to paid can be weeks or months, making attribution messy
- Team expansion means one user's channel attributes to multiple seats
PLG Attribution Framework
| Layer | What to Track | Purpose |
|---|---|---|
| First-Touch Attribution | Original source/medium (UTM parameters, referrer) | Understand awareness channels |
| Signup Attribution | Source at signup event | Credit acquisition channels |
| Activation Attribution | Product events leading to PQL status | Understand what drives activation |
| Conversion Attribution | Touchpoints before paid conversion | Credit channels driving revenue |
| Expansion Attribution | Touchpoints before seat expansion | Understand what drives growth |
Metrics That Actually Matter
Stop reporting MQLs. Start reporting these:
- Activation Rate: % of signups who reach PQL status (target: 20-30%)
- Time to Value: Days from signup to first meaningful product use
- PQL to Paid Conversion: % of PQLs who convert (target: 15-25%)
- Expansion Pipeline: $ value of upgrade/expansion opportunities
- Net Revenue Retention: Revenue from existing customers after churn and expansion
- CAC by Channel: Cost to acquire an activated user (not just a signup)
Accept This Truth: Some conversions will have no marketing attribution. That's not a tracking failure - that's PLG working. Word-of-mouth and organic product discovery are success, not gaps.
42's Take: Stop reporting MQLs to your board. Seriously. PLG metrics that matter: activation rate, time-to-value, PQL-to-paid conversion, expansion revenue, and NRR. If your CMO is still presenting "we generated 5,000 MQLs this quarter," they're not running a PLG motion - they're running sales-led demand gen with a free trial bolted on.
Budget Allocation for PLG Demand Gen
PLG companies should allocate marketing budget differently than sales-led companies. Here's the framework:
Budget by Company Stage
| Stage | ARR Range | Marketing % of Revenue | Focus |
|---|---|---|---|
| Early | $0-5M | 5-10% | Product, not marketing. Invest in activation UX. |
| Growth | $5-25M | 15-25% | Competitor conquesting, retargeting, content. |
| Scale | $25M+ | 20-35% | Full funnel, enterprise ABM, brand. |
Channel Budget Allocation (Growth Stage)
| Category | % of Marketing Budget | Channels |
|---|---|---|
| Paid Acquisition | 40-50% | Google (competitor keywords), LinkedIn (retargeting), Review sites |
| Content & SEO | 20-25% | Use case content, comparison pages, documentation |
| Product Marketing | 15-20% | In-app messaging, onboarding, upgrade campaigns |
| Events & Community | 10-15% | User conferences, community programs, webinars |
PLG Budget Rules
- No more than 50% to paid: PLG should scale through product, not just spend
- In-app > Outbound: Invest in product marketing before outbound campaigns
- Activation > Acquisition: $1 improving activation is worth $3 in acquisition spend
- Cut what doesn't convert: If a channel drives signups but not activations, kill it
Budget Efficiency Check: Your CAC:LTV ratio should be 1:3 or better for each channel. If you're acquiring users at $100 CAC with $200 LTV, that channel is underwater. Focus on channels where activated users pay back within 6 months.
Implementation Checklist
Use this checklist to implement PLG demand gen at your company:
Phase 1: Foundation (Week 1-2)
- Define your activation event (the "aha moment")
- Build PQL scoring model from product data
- Connect product analytics to CRM
- Set up basic attribution tracking (first-touch, signup source)
- Audit current CTAs and align to segment framework
Phase 2: Quick Wins (Week 3-4)
- Launch competitor conquesting campaigns on Google
- Create retargeting audiences for activated vs non-activated users
- Build 3 use case landing pages with product demos
- Implement in-app upgrade prompts for PQLs
- Set up PQL alerts for sales team
Phase 3: Scale (Month 2-3)
- Build full comparison page library (vs each competitor)
- Launch lookalike campaigns from best customer list
- Identify enterprise targets from product data
- Create enterprise ABM campaign for top 50 accounts
- Implement smart CTAs based on company size
Phase 4: Optimize (Ongoing)
- Report on activation rate and expansion pipeline weekly
- Cut channels with low signup-to-activation conversion
- A/B test onboarding flows to improve activation
- Refine PQL model quarterly based on conversion data
- Build self-serve upgrade path to reduce CAC
42's Bottom Line
PLG demand gen is not about generating more leads. It's about surfacing which of your existing free users are ready to buy - and helping them get there faster. The companies that win at PLG marketing are the ones who invest in product analytics and activation, not the ones with the biggest paid media budgets. Upgrade rate > lead volume. Always.
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