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Customer Intelligence &
AI-Powered
Commercial Growth Consulting

Helping organizations make smarter commercial decisions and drive measurable growth — through customer intelligence, advanced analytics, and AI-supported decision systems.

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IntelligenceGrowthRevenueExcellence

Justgrow combines customer & market intelligence, commercial analytics, pricing & revenue optimization, and AI-supported decision systems to help organizations accelerate profitable growth.

Customer & Market Intelligence

Deep behavioral, motivational and market understanding to anchor strategy.

Commercial Analytics

Quantified drivers of growth, profitability and commercial performance.

Pricing & Revenue Optimization

Elasticity-driven pricing architectures and promotional effectiveness.

AI-Supported Decision Systems

Operational intelligence that turns insight into ongoing decisions.

Core Team

Strategy & analytics ownership

Senior consultants who own strategy, analytical depth, and client outcomes end-to-end.

Networked Execution Layer

Curated on-demand expert ecosystem

A specialized network of researchers, data scientists, pricing experts and commercial analysts assembled per engagement.

02 · The Problem We Solve

Most companies suffer from fragmented decision-making.

Commercial decisions are made across silos — insights, data, pricing, marketing and forecasting rarely connect into a single operating intelligence.

Organizations face

  • Disconnected customer insights
  • Siloed data sources
  • Ineffective pricing decisions
  • Unclear marketing ROI
  • Unreliable forecasts
  • Slow commercial decision cycles

As a result

  • Revenue growth slows.
  • Margins erode.
  • Commercial investments become inefficient.
03 · Our Approach

An integrated decision framework — from insight to operating system.

We connect customer intelligence, commercial analytics and AI-powered systems into one continuous decision framework.

STAGE 01

DISCOVER

Understand customers, markets, behaviors and commercial dynamics.

STAGE 02

MODEL

Build analytical and research models that quantify business drivers.

STAGE 03

OPTIMIZE

Identify growth, pricing and profitability opportunities.

STAGE 04

ACTIVATE

Turn insights into operational decision systems.

04 · Core Capabilities

Three domains. One commercial decision engine.

A · Premium Intelligence

Customer & Market Intelligence

We understand customers, behaviors, motivations and market dynamics at depth.

Quantitative research
Qualitative research
Online research
Retail panel
Customer segmentation
Brand perception
Satisfaction / NPS
Customer journey analysis
B · Revenue Optimization

Commercial & Revenue Optimization

We optimize how companies grow revenue and improve profitability.

Pricing analytics
Price elasticity modeling
Cross-elasticity analysis
Promotion effectiveness
Marketing Mix Modeling (MMM)
Sales forecasting
Assortment optimization
Revenue optimization
C · Growth Systems

Data & AI-Powered Decision Systems

We turn data into decision systems.

Customer centricity & data maturity assessment
Dashboarding
Data integration
AI-supported analytics
Decision support systems
Forecast automation
Insight automation

We are not a research company. We are a revenue decision company.

05 · Why Justgrow

Boutique flexibility.
Enterprise-level thinking.

We combine the precision of strategy consulting with the agility of an expert network — purpose-built around the question, not the framework.

01

Senior-only execution

Projects are led directly by experienced senior consultants.

02

Flexible expert ecosystem

We assemble highly specialized expert teams based on project needs.

03

Commercial impact focus

We focus on measurable business outcomes rather than reporting alone.

04

AI-enabled workflows

We accelerate insight generation and analytical depth using AI-supported processes.

05

Customized problem-solving

We adapt to unique business questions rather than forcing standardized frameworks.

06 · How We Create Value

Typical business impact areas.

Outcomes our engagements consistently deliver across pricing, margin and commercial effectiveness.

Revenue Growth

  • Improved pricing architecture
  • Better promotion effectiveness
  • Increased customer retention
  • Higher conversion rates

Margin Improvement

  • Reduced discount inefficiency
  • Better assortment decisions
  • Improved media allocation

Commercial Effectiveness

  • Faster decision-making
  • Improved forecast accuracy
  • Better targeting and segmentation
07 · Industry Applications

Cross-sector commercial intelligence expertise.

FMCG

Pricing, promotions, category growth, consumer insights.

Retail

Store analytics, assortment optimization, customer segmentation.

Technology Companies

Customer understanding, product-market dynamics, growth analytics.

E-commerce

Customer analytics, conversion optimization, digital measurement.

Financial Services

Customer understanding, marketing effectiveness, retention analytics.

Marketplace Businesses

Seller behavior, pricing dynamics, platform growth analytics.

08 · Operating Model

An agile structure designed for speed and specialization.

Core Leadership Team

Senior strategy and analytics leadership.

Expert Ecosystem

Specialized researchers, data scientists, pricing experts and commercial analysts.

Technology Layer

AI-supported analytics and decision frameworks.

09 · AI Integration

AI accelerates depth — human expertise remains central.

AI is integrated into our workflows to accelerate insight generation and improve analytical depth, while interpretation and strategic judgement remain led by senior consultants.

Research synthesis
Consumer insight extraction
Predictive analytics
Scenario generation
Commercial simulations
Forecast enhancement
Insight automation

Human expertise remains central.

10 · Sample Business Questions

The questions we help executives answer.

  • Why are customers switching brands?
  • Which customer segments drive profitable growth?
  • How is our brand perceived versus competitors?
11 · Use Cases

Selected engagements across industries.

SPIRITS · INTERNATIONAL

Revenue Growth Optimization for International Spirits Company

Objective

Accelerate revenue growth and improve profit margins through a redesigned pricing framework.

Approach

Conjoint-based price elasticity analysis using simulated future pricing scenarios to evaluate consumer response, pricing thresholds and portfolio dynamics.

Outcomes
  • Optimized volume & value share performance
  • Improved pricing & margin structure
  • Revenue uplift through strategic pricing
  • Better assortment & portfolio optimization
  • Enhanced visibility into price sensitivity
COSMETICS · E-COMMERCE

E-commerce Revenue Growth for Global Cosmetics Leader

Objective

Accelerate e-commerce revenue growth while improving pricing efficiency and profit margins.

Approach

Price elasticity and competitive pricing analysis based on Trendyol marketplace data to optimize pricing architecture, promotional strategy and revenue performance.

Outcomes
  • Improved promotion effectiveness
  • Optimized volume & value share
  • Increased pricing & margin efficiency
  • Revenue uplift through data-driven pricing
  • Visibility into competitive dynamics
FINANCIAL SERVICES

Customer Base Growth for Financial Comparison Platform

Objective

Accelerate customer acquisition and improve conversion performance across digital channels.

Approach

Ongoing quantitative and qualitative research to understand customer behavior, optimize the acquisition funnel and benchmark competitive positioning.

Outcomes
  • Improved advertising effectiveness
  • Increased funnel conversion performance
  • Stronger competitive positioning
  • Deeper acquisition driver understanding
  • Data-driven marketing optimization
TRANSFORMATION

Customer-Centric Transformation Consulting

Objective

Improve commercial performance through customer intelligence and data-driven decision-making.

Approach

Ongoing strategic consulting supported by customer intelligence solutions, integrated analytics and AI-enabled insight systems.

Outcomes
  • Customer voice embedded into decisions
  • Unified fragmented customer data
  • Scalable customer insight engine
  • Faster, more intelligent decision-making
CONFECTIONARY · OPERATIONS

Return Process Optimization for Leading Confectionary Company

Objective

Reduce return rates and improve operational efficiency by identifying root causes of product returns.

Approach

Detailed analysis of return processes and data to identify root causes, evaluate operational pain points and develop actionable solutions with KPI and monitoring frameworks.

Outcomes
  • Key return drivers identified
  • Actionable return reduction recommendations
  • Improved operational visibility
  • KPI framework & tracking system established
  • Enhanced decision-making via return analytics
12 · Why This Matters

Data-driven commercial optimization directly impacts enterprise value.

Key value creation levers

  • EBITDA expansion
  • Revenue acceleration
  • Margin improvement
  • Customer lifetime value improvement
  • Forecast accuracy
  • Scalable growth systems
13 · Why Now

Increasing market complexity requires faster, more intelligent decision systems.

01
Fragmented consumer behavior
02
Rising acquisition costs
03
Pricing pressure
04
Retail complexity
05
Data overload

Companies that operationalize customer intelligence and analytics will outperform competitors.

Let's talk

Customer Intelligence
Commercial Analytics
AI-Powered Growth Systems

Helping organizations make smarter commercial decisions & drive measurable growth.

neslihan.sezer@justgrowanalytics.com·LinkedIn

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