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Kline’s Industry Leading Syndicated Market Forecasts
Foresight prediction of category and channel growth
How is forecast data calculated?
Using multiple linear regression, time shift and seasonality analysis, future projections are formulated based on market driver data shifts. 95%+ accuracy is achieved by utilizing Bayesian recursion to improve precision, with thorough review of results by our industry experts.
The 7 Steps of Kline Forecasting
Explore some of the benefits to developing internal data forecasts
Product Mix & Portfolio Analysis
Assortment Strategy
Deploy advanced analytics-led to identify best-sellers and underperforming items.
New Product Development
White space analysis to identify gaps in your product mix and develop new beauty products that tap into new market trends and changing consumer habits.
Pricing Analytics
Dynamic Pricing
Implement dynamic pricing strategies based on demand, seasonality, and competitor pricing to optimize revenue.
Promotional Effectiveness
Analyze the impact of promotional pricing on sales and profitability, and plan promotions strategically.
Category & Channel Growth Insights
Multi-Channel Strategy
Evaluate the performance of different sales channels (e.g., e-commerce, retail, direct-to-consumer) and allocate resources to the most profitable channels.
Category Management
Optimize category management by analyzing the performance of different product categories and adjusting assortments to target changing consumer preferences.
Cross-Selling
Identify opportunities for cross-selling complementary beauty products to increase basket size and overall revenue.
Capturing Seasonality
Historical Data Analysis
Examine historical sales data to understand seasonal trends in the beauty industry. Identify peak seasons and fluctuations in demand.
Inventory Management
Adjust inventory levels based on seasonality, ensuring that you have sufficient stock during high-demand periods and minimize excess stock during low-demand seasons.
Promotions and Marketing
Plan marketing campaigns and promotions around seasonality insights to maximize their impact and capitalize on consumer buying patterns.