Our objective at Factor & Equilibrium is to deliver actionable insights related to the specific market for clients and helping them to visualize strategic growth options. In order to address specific business requirements, we have developed a portfolio of research methodologies. In today’s competitive business environment, it is critical for companies to have the right set of information and clear insights.

At Factor & Equilibrium, our analysts follow certain research processes to gather critical information and offer actionable insights to clients. These insights are important for clients to identify future growth opportunities and achieve competitive advantage. What research methodologies are followed by Factor & Equilibrium? How reliable is the research process followed by Factor & Equilibrium? What are the key data sources?

To know answers to these questions, we request clients to go through the detailed description of our research methodologies.

Economic Parameters

  • Gross Domestic Product (GDP)
  • Inflation Data
  • Aggregate Supply & Demand Equilibrium
  • Export & Import Data
  • Production Function

Geographic Parameters

  • Country Level Macroeconomic Data
  • Region Wise Market Dynamics
  • Region Wise Price Dynamics
  • Region Wise Competitive Landscape
  • Region Wise Product Lifecycle

Statistical Parameters

  • Dependent & Independent Variables
  • Measures of Central Tendency
  • Normal Distribution
  • Push & Pull Factors Based Regression Model
  • Time Series Analysis

Primary Data Collection

Secondary Data Collection

Research Architecture

Historical Data

  • Gathering information about historical trend of the market
  • Gathering information regarding historical regional outlook
  • Depicting growth indicator based on historical growth trends
  • Region Wise Competitive Landscape
  • Region Wise Product Lifecycle

Push & Pull Factors Matrix

  • Identifying push and pull factors
  • Determining weightage of push and pull factors during the forecast period
  • Determining weightage of pricing push and pull factors during the forecast period
  • Overall impact calculation

Statistical Forecasting

  • Regression and time series models are used to determine forecast market size
  • Push and pull factors are used as independent variable
  • Autoregressive integrated moving average (ARIMA) model is utilized in special cases

“Vendor Positioning Matrix” identify leading players in particular market and position them on the basis of product portfolio optimization and strategy optimization parameters. Core objective of this matrix is to provide robust view of positioning of leading market players. By applying different product portfolio and strategy optimization perspectives, Factor & Equilibrium “Vendor Positioning Matrix” helps clients to understand how competitors are performing in particular market. For product portfolio optimization, we use parameters such as product revenue, depth of product portfolio, product pricing, end-user acceptance, R&D pipeline etc. For strategy optimization, we use parameters such as inorganic growth activities, organic growth activities, sustainability of business model, geographic presence etc.

Following is the example of Factor & Equilibrium “Vendor Positioning Matrix”;

“Vendor Positioning Matrix” positions leading players on four categories.

Market Leader: These players have strong product portfolio and positioned well in terms of strategy execution.

Lead Competitor: These players execute strategies well but product portfolio is relatively weak.

Product Innovator: These players offer innovative products but execution of strategy is relatively weak.

Laggard: These players have limited product offering and their understanding about market is not clear.

Our Business Consulting Services

Our Syndicated and Custom Research Processes

Categories of Research Studies