20Growth: How to Use Influencers to Scale Growth Insanely Fast...
The Twenty Minute VC (20VC)Full Title
20Growth: How to Use Influencers to Scale Growth Insanely Fast | How to Optimise User Onboaring for Growth | How the Best Growth Teams Create Organic Growth and Community | Why LTV/CAC Models are BS with Ketty Slonimsky
Summary
The episode features Ketty Slaninsky, Chief Growth Officer at Palta, discussing effective growth strategies for scaling companies, emphasizing data-driven optimization, building defensibility through product, and the evolution of growth teams in the age of AI.
Key takeaways include the importance of understanding core use cases, leveraging multi-channel acquisition strategies, and the shift towards AI-native growth professionals.
Key Points
- Growth is defined as a broad discipline encompassing user acquisition, product, and monetization, not solely marketing.
- Building defensibility requires focusing on a core use case and expanding it into multiple areas, rather than relying on small optimizations alone.
- Successful growth professionals are hungry, smart, proactive, self-reflecting, and possess both analytical and "salesy" skills to guide users through complex funnels.
- Frameworks are often insufficient for mature products; companies like Palta adapt and rigorously test strategies for their specific context.
- Palta operates as a venture builder, creating and scaling companies with a clear target of achieving at least $100 million ARR, necessitating a focus on broad need and defensibility.
- In crowded markets, success comes from understanding user needs deeply, conducting fake door tests, and optimizing unit economics from early paid acquisition before transitioning to organic.
- Paid user acquisition is crucial for early growth in competitive markets, but it must be complemented by building shareable loops and organic growth mechanics.
- A 2:1 LTV to CAC ratio is considered a baseline, with a 3-month payback period for paid acquisition being a key metric for early-stage companies.
- Enduring retention is built through products solving fundamental needs and embedding into user workflows, creating defensibility and natural user engagement over time.
- Building multi-tiered subscription models and upsells is essential for profitability in a high user acquisition cost environment.
- Web onboarding is significantly more effective than app-based onboarding for acquiring paying users due to lower fees and better attribution.
- Free trials can attract low-quality users; focusing on paying customers with high willingness to pay is crucial for optimizing algorithms.
- Paywall optimization requires extensive testing to determine the most effective options for a given product and audience.
- Effective onboarding and activation are critical for retaining subscribers, as users often forget the value proposition if not actively reminded.
- Shareable loops and community building are vital for scaling organic growth, especially in saturated markets where pure paid acquisition becomes challenging.
- The transition from paid to organic growth involves solidifying the core use case and then building product features that encourage sharing and community.
- Growth loops are about building a scalable user acquisition engine, with the emphasis shifting from SEO to community-driven strategies.
- Building internal growth teams requires hiring hungry, adaptable individuals with an experimental mindset, rather than relying solely on prestigious backgrounds.
- Centralized growth functions are most effective for setting standards and facilitating cross-pollination, rather than directly managing UA or creative production for individual companies.
- Retention metrics like D7 are critical in the early stages for optimizing activation, while D30 and beyond become more important as the product matures.
- The nature of the product dictates the optimal retention metric and usage patterns, with some products requiring daily engagement and others relying on monthly check-ins.
- Push notifications and email flows are valuable for engagement but should be strategically implemented and balanced, not overused.
- Creative testing is paramount, especially on platforms like TikTok, requiring high volumes of variations and a blend of AI-generated and human-refined content.
- Influencer marketing can be effective up to a certain spend, but often proves difficult to scale sustainably and can be a waste of resources if not strategically managed.
- The growth leader role has evolved to incorporate AI-native talent and a focus on building scalable growth machines through data analysis and creative experimentation.
Conclusion
Prioritize building defensibility and nailing core use cases over relying solely on incremental optimizations.
Embrace experimentation, data-driven insights, and adaptable team structures to navigate the evolving growth landscape.
Focus on attracting and retaining paying users through effective onboarding, value communication, and well-timed engagement strategies.
Discussion Topics
- How can companies effectively balance paid acquisition with building organic growth loops in today's competitive landscape?
- What are the most critical skills and mindsets for growth leaders to possess in an increasingly AI-driven environment?
- Beyond established metrics, what qualitative factors should founders consider when evaluating the long-term success and defensibility of their products?
Key Terms
- ARR
- Annual Recurring Revenue - The predictable revenue a company expects to receive on a yearly basis.
- CAC
- Customer Acquisition Cost - The total cost of sales and marketing efforts needed to acquire a new customer.
- CGO
- Chief Growth Officer - A senior executive responsible for driving growth across all aspects of a company.
- CPM
- Cost Per Mille (or Thousand) - A marketing metric that measures the cost of 1,000 ad impressions.
- D7/D30/D360
- Day X retention - Metrics indicating the percentage of users who return to a product on day 7, 30, or 360 after their initial engagement.
- GLP-1
- Glucagon-like peptide-1 - A class of drugs used to treat type 2 diabetes and obesity, known for their effectiveness in weight loss.
- LTV
- Lifetime Value - The total revenue a company expects to generate from a single customer over the entire duration of their relationship.
- MAU
- Monthly Active Users - The number of unique users who interact with a product or service in a given month.
- MVP
- Minimum Viable Product - The version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.
- PMF
- Product-Market Fit - The degree to which a product satisfies strong market demand.
- ROAS
- Return on Ad Spend - A marketing metric that measures the revenue earned for every dollar spent on advertising.
- SOC2
- System and Organization Controls 2 - A framework for managing customer data based on five trust service principles: security, availability, processing integrity, confidentiality, and privacy.
- UA
- User Acquisition - The process of attracting new users or customers to a product or service.
- VC
- Venture Capital - Funding provided by investors to startups and small businesses with perceived long-term growth potential.
Timeline
Hosts discuss the definition and scope of growth as a discipline beyond marketing.
Slaninsky explains that growth strategies shift from small optimizations to building defensibility as a product matures.
The conversation touches on how defensibility is built through processes like data loops and community engagement, particularly in AI.
Slaninsky describes the ideal profile for success in growth roles as hungry, smart, proactive, and analytical yet "salesy."
The discussion critiques the over-reliance on off-the-shelf frameworks for mature products.
Palta is introduced as a venture builder that creates and scales companies with high revenue targets.
Palta's strategy for selecting and discarding ideas based on revenue potential and market fit is detailed.
The process of launching and scaling new products within Palta, starting with paid user acquisition and web onboarding, is outlined.
The conversation shifts to the changing landscape of user acquisition, noting the increased necessity of paid channels over purely organic growth in today's market.
Slaninsky defines good unit economics, emphasizing a 3-month payback period and a healthy LTV to CAC ratio.
The importance of building shareable loops and community for organic growth is highlighted.
Slaninsky identifies workflows and AI integration as current categories with enduring retentive features.
The distinction between "painkiller" and "vitamin" products is discussed in the context of user motivation.
Palta's competitive advantage through cross-synergy between its portfolio companies is explained.
An example of a risky experiment involving introducing multiple subscription tiers is shared.
The decision to avoid free trials in favor of attracting paying users is explained.
The pros and cons of web onboarding versus app onboarding are discussed, with a strong emphasis on avoiding app store fees.
Slaninsky stresses the importance of extensive testing for paywall optimization.
The discussion focuses on onboarding and activation, highlighting the need to clearly communicate the value of premium features.
The transition from paid user acquisition to organic shareable loops is explored as a growth strategy.
Slaninsky discusses the concept of growth loops and the practicalities of building a scalable UA engine.
The changing landscape of user acquisition strategies beyond SEO is discussed, with a focus on communities and AI-driven content.
Early-stage companies are advised on how to determine unit economics when LTV data is not yet available.
A past overestimation of LTV/CAC ratios is recounted, highlighting the impact of different acquisition channels.
The unique challenges and strategies for scaling on TikTok, emphasizing the need for high creative volume, are discussed.
The use of AI in creative production and the concept of a "creative factory" are explored.
Slaninsky expresses a view that creative value remains, focusing on diversity, velocity, and volume in ad content.
The effectiveness and potential waste of money in influencer marketing are debated.
Slaninsky details how she built Palta's centralized growth function and her philosophy on leading without direct authority.
The importance of deep founder and team engagement for building trust and making strategic bets is emphasized.
The optimal placement of growth teams (separate vs. integrated) is discussed, depending on company stage and DNA.
Slaninsky advises against hiring overly experienced "Silicon Valley-badged" individuals for early-stage growth roles, favoring hungry, builder-mentality candidates.
The structure of Palta's centralized growth function, built around three pillars, is explained.
The potential for CAC to remain stable with efficient growth machines, despite scaling, is discussed.
A significant growth decision that didn't work was centralizing UA, leading to a pivot towards supporting in-house growth functions.
The critical importance of retention is stressed, with a focus on optimizing early-stage metrics like D7.
The nature of the product dictates the relevant retention metric, with Flow's monthly tracking being a success indicator.
The overuse and effectiveness of push notifications for engagement are debated, emphasizing their role in user journeys.
The significant impact of copy and timing, rather than just creative, on notification conversion is highlighted.
The reasons for not building proprietary push notification technology and the cost-effectiveness of using third-party tools are discussed.
Meta is identified as an overhyped channel due to increasing difficulty in achieving good unit economics, while YouTube is considered underhyped.
Slaninsky has changed her mind on the composition of growth teams, now emphasizing the need for AI-native individuals.
The BS often heard from growth leaders, including fluffy best practices and misleading benchmarks, is critiqued.
The decision-making process for hiring growth advisors versus internal teams is discussed, emphasizing integration and hands-on mentorship.
The most significant lesson learned in growth is the compounding power of conducting numerous experiments, even those that fail.
OpenAI is identified as a company that would greatly benefit from a robust growth playbook.
Episode Details
- Podcast
- The Twenty Minute VC (20VC)
- Episode
- 20Growth: How to Use Influencers to Scale Growth Insanely Fast | How to Optimise User Onboaring for Growth | How the Best Growth Teams Create Organic Growth and Community | Why LTV/CAC Models are BS with Ketty Slonimsky
- Official Link
- https://www.thetwentyminutevc.com/
- Published
- October 3, 2025