Strategic analytics partner to C-level and VP leadership, optimizing growth and monetization across a 12-product B2B SaaS portfolio. I translate complex product and revenue data into high-leverage decisions to scale a $300M+ PLG platform. - AI Product & Monetization Strategy: Led end-to-end analytics for the AI SEO launch, from business model framing and activation metrics to pricing experiments and LTV expansion measurement. - AI Revenue Growth: Designed and measured usage-based and hybrid monetization models for AI-first products, contributing to a multi-million-dollar ARR stream from zero - Decision Systems: Built North Star Metric Trees and decision frameworks to align Product, Growth, and Finance on metric ownership and priorities, turning insights into focused experiment backlogs - Monetization Architecture: Owned analytics for tiers, limits, upgrade paths, and financial modeling - Execution at Scale: Established cross-functional measurement systems across Product, Growth, and Marketing to support continuous experimentation and reliable revenue forecasting - growth, product, and marketing metrics - Supported 30+ A/B tests and built a decentralized testing infrastructure
Konstantin Perevozchikov
PLG, Monetization & Growth Systems | PLG Analytics @ Semrush
Bio
I lead PLG & Growth Analytics at Semrush, a $300M+ ARR B2B SaaS company. My work sits at the intersection of product, marketing, and revenue, building the decision systems that drive growth. I help teams understand what actually drives activation, retention, and monetization, and turn those signals into clear experiments and strategy. At Semrush, I partner with leadership across 10+ product areas to align growth initiatives, experimentation, and monetization, including helping design the monetization systems behind new AI products. Topics I can help with • Product-Led Growth (PLG) metrics and growth models • Activation and time-to-value, product activity • Retention and expansion systems • Pricing and monetization changes and experiments • Designing and interpreting growth experiments • Building analytics systems for product teams • Marketing measurement Typical questions I help with • We have data, but still don’t know where growth comes from • Our signup numbers are fine, but activation is weak • Retention or expansion isn’t where it should be • We want to change pricing, but don’t know how to measure impact • Our team runs experiments, but they don’t move the business If you're a founder, product leader, or growth lead in a B2B SaaS company looking for a clear outside perspective on your growth system, happy to chat.
Expertise
Conversion rate optimisation
Improving product and funnel conversion across signup, onboarding, and activation. Identifying friction in the user journey and designing experiments that increase activation and key product conversions.
Pricing strategy
Designing and evaluating pricing and packaging changes: pricing structure, packaging, usage-based or hybrid models, and how to measure monetization experiments without breaking your growth metrics (in an era when nobody knows the perfect monetization model)
Product analytics
Building analytics systems that support product decisions: how to enable product analytics, how to track it, enable other teams, how to connect product data to business outcomes, and how to scale it
Product launches
Planning and evaluating product or feature launches from a product and growth perspective, including activation, monetization impact, and experiment design - all from the pre-evaluation stage (is the feature important?) to impact identification
Toolkit
Amplitude
6 years of experienceProduct analytics for understanding user behavior, activation funnels, retention cohorts, and identifying the key drivers of product growth for different areas of business
Tableau
8 years of experienceBuilding dashboards/decision layers that connect product/growth/marketing metrics with business outcomes so teams can monitor growth and make faster decisions.
Industries
SaaS
Most of my work sits inside SaaS growth systems. I spend a lot of time analyzing how activation, retention, and monetization interact, and how changes in pricing, onboarding, or product experience affect long-term revenue
B2B
Most of my career has been in B2B SaaS. At Semrush, I work with multiple product teams building tools for professionals, where growth decisions must balance product complexity, long adoption cycles, and clear business value. Understanding how companies evaluate and adopt B2B software is part of my daily work
Artificial Intelligence
I owned the analytics and experimentation layer behind the launch of AI SEO products, including monetization design, experiment strategy, and measurement of product adoption and growth impact
Analytics
A large part of my work revolves around product analytics and decision systems. I help teams turn product data into insights about user behavior, growth constraints, and monetization opportunities
A/B Testing
Experimentation has been a central part of my work in growth analytics. I’ve worked with product, growth, and marketing teams to design and evaluate experiments that impact activation, retention, and monetization. Many teams struggle not with running experiments, but with choosing the right metrics and interpreting results correctly
Experience
- SaaSB2B
Contributed to the foundational measurement layer that scaled into Semrush’s current PLG growth systems: - Revenue Impact: Delivered analytics systems and dashboards that identified monetization opportunities resulting in >$5M of measured incremental MRR - Framework Adoption: Defined core metrics and tracking frameworks that were adopted by 14 teams and became the company standard for reporting - Growth Optimization: Ran deep-dive analyses on activation and funnels that fueled experiments resulting in 20% relative conversion improvements - Financial Modeling: Built scenario-based models for pricing tests and product introductions, enabling stakeholders to make data-backed trade-offs - Strategic Attribution: Developed attribution and segmentation models used for global budget allocation decisions across 5 paid channels
SaaSB2B- Product Innovation: Developed an MVP service to optimize cross-platform ad placements and an automated media planning product for social networks using advanced clustering and parsing - Strategy & Insight: Participation in the development of communication and product strategies for federal-scale companies, using statistical methods to analyze consumer segmentation and brand health - Advanced Analytics: Built machine learning models and end-to-end analytics systems to identify innovative solutions for organizational and client implementation
E-CommerceDigital AgenciesSaaSB2BB2CCannabis