We are a team of specialists from different industries who have personally launched and optimized advertising campaigns, built startups, and scaled businesses. That is why we help companies identify real growth opportunities and make decisions based on data.
We help companies pinpointing what truly drives incremental growth and what merely redistributes existing traffic. Through a structured analysis of traffic sources, funnel performance, and unit economics, we determine the real scalability limits and uncover growth opportunities beyond incremental ROAS optimization.
ASQ — practice-driven consulting
ABOUT US
MARKETING CONSULTING
— Marketing Economics Analysis
— Digital Channel Audit & Growth Opportunities
— ROAS Growth Strategy
— ROAS Growth Tactics
— Technical Marketing Consulting
— Digital Channel Audit & Growth Opportunities
— ROAS Growth Strategy
— ROAS Growth Tactics
— Technical Marketing Consulting
SERVICES
CONTENT CONSULTING
— Business-Aligned Content Analysis
— Digital Content Strategy
— Digital Content Tactics
— Digital Content Strategy
— Digital Content Tactics
AUTHOR OVERSIGHT
— Strategic Oversight
We remain involved after the strategy is developed to ensure its implementation without distortions or strategic errors
— Tactical Oversight
We ensure that implementation decisions maintain the strategic logic and the quality of execution throughout deployment
We remain involved after the strategy is developed to ensure its implementation without distortions or strategic errors
— Tactical Oversight
We ensure that implementation decisions maintain the strategic logic and the quality of execution throughout deployment
AI CONSULTING
— AI Visibility Consulting (ChatGPT / AI Search Visibility)
We analyze how your brand, product, or category appears across AI-driven environments (ChatGPT, Perplexity, AI search platforms) and identify the drivers that influence visibility and mentions
We analyze how your brand, product, or category appears across AI-driven environments (ChatGPT, Perplexity, AI search platforms) and identify the drivers that influence visibility and mentions
Understanding the volume of missed profit opportunities
01
Understanding where profit leakage occurs and defining an optimal channel mix for ROAS maximization
02
A tactical roadmap by traffic sources to achieve profit targets
04
Resolution of technical bottlenecks at the level of ad platforms, tracking and analytics infrastructure
05
Clear understanding of which business objectives content actually supports today
06
Roadmap of actions enabling content to function as both a performance acquisition tool and a retention driver
07
Tactical roadmap by traffic sources enabling content to operate as a performance and retention driver
08
Preservation of strategic logic during the execution phase
09
A structured roadmap of actions across channels and technologies to achieve profit targets
03
Alignment of tactical execution with the approved strategy
10
RESULTS
PROFIT
ASQ
OUR CLIENTS SAY
Michael Turner — CEO, Subscription Mobile App (EU)
ASQ helped us realign growth with unit economics when we were scaling too fast. Within 3 months, payback improved from 9.2 to 6.7 months, and CAC stabilized across our core channels. We finally understand where scaling actually makes sense.
Laura Chen — CMO, VC-backed Consumer Startup
ASQ brought clarity to our acquisition strategy. We reduced inefficient spend by ~28% and reallocated budgets toward channels with proven incrementality. This had an immediate impact on revenue quality.
David Ross — Head of Growth, Fintech App
What impressed us was the depth of diagnostics. ASQ identified a scaling ceiling we hadn’t seen before. After restructuring our channel mix, cost per paying user dropped by 23% over 4 months.
Sophie Martin — VP Marketing, Digital Subscription Platform
The forefront of technological evolution sees major equipment manufacturers either unveiling or deeply engrossed in the development of fully or partially electric machinery.
INDUSTRIES
Mobile-first clients
StartUps
FMCG
Pharmacy
Gaming
Fintech
E-comMERCE
Digital Businesses
OUR PARTNERS
CLIENTS
100+ CLIENTS WORLDWIDE
Maxim Scherbin
Co-founder
Irina Komarova
Co-founder
Li Wei
Chief Growth Architect
Daniel Brooks
Senior Growth Advisor
Anna Firuleva
Client Service Director
Arjun Patel
Head of Marketing Intelligence
Alex Morgan
Principal Strategy Consultant
TEAM
Co-founder
Co-founder
TEAM
Maxim Scherbin
Chief Growth Architect
Irina Komarova
Anna Firuleva
Senior Growth Advisor
Arjun
Patel
Patel
Alex
Morgan
Morgan
Head of Marketing Intelligence
Principal Strategy Consultant
Client Service Director
Li Wei
Daniel Brooks
Following Meta’s Andromeda update, cost per activated user increased by 39% while subscription conversion declined. Paid social lost predictable scalability. We restructured the acquisition architecture around activation economics and incrementality. Creative testing, campaign structure, and budget allocation were rebuilt to restore efficiency.
CASE 01
Digital Subscription Platform — Meta Algorithm Shift
Paid social regained stable, revenue-driven scalability
CPAU reduced by
Subscription conversion
Cohort revenue
Subscription conversion
Cohort revenue
–26%
+17%
+21%
+17%
+21%
CPAU reduced by
–26%
Cohort revenue
+21%
Subscription conversion
+17%
Results (90 days):
Increasing marketing spend stopped driving proportional growth. Cost per paying user rose by 34%, and payback exceeded acceptable thresholds.
We conducted incrementality analysis across channels and rebuilt the acquisition mix around payback-driven optimization rather than volume scaling.
We conducted incrementality analysis across channels and rebuilt the acquisition mix around payback-driven optimization rather than volume scaling.
CASE 02
Subscription Mobile App — Scaling Ceiling
User acquisition became economically scalable again
Paying users
+31%
CPAU reduced by
-23%
Payback in months
9.4 → 6.8
CPAU reduced by
Paying users
Payback in months
Paying users
Payback in months
–23%
+31%
9.4 → 6.8
+31%
9.4 → 6.8
Results (4 months):
After funding, marketing growth outpaced unit economics. Over 27% of cohorts generated negative contribution margin, and payback exceeded runway limits.
We built a channel-level scalability model, defined optimal investment thresholds, and aligned growth strategy with financial constraints.
We built a channel-level scalability model, defined optimal investment thresholds, and aligned growth strategy with financial constraints.
CASE 03
Fintech Startup (Series A) — Growth vs. Unit Economics
Marketing investment became aligned with sustainable growth
Negative cohorts
Payback in months
Rev from profitable channels
Payback in months
Rev from profitable channels
27%→11%
14 → 8
+44%
14 → 8
+44%
Negative cohorts
27%→11%
Payback in months
14 → 8
Rev from profitable channels
+44%
Results (1 quarter):
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