Using predictive analytics can help businesses validate specific ideas in numerous ways. With advanced tools and enough data, models can give any company an advantage in their respective industries, through predicting what customers need and enhancing MVP. Fortunately, getting started with prediction tools is easier than ever. Some of the best include Tableau, Domo, and Zerve, any of which can be tailored to your business and the needs of new models.
Gauging Sufficient Audience Demand
As with any successful business, there needs to be sufficient demand to even justify the product or service. Predictive tools can help gauge if the demand is enough to bring a product to market and determine if the concept can grow. Validation begins with a start up business account, and your new venture can use prediction through search trend analysis by examining historical data, and estimating data to project total market size, segment capture, and market share.
Predicting What Customers Need
Traditional methods of finding what customers need and want rely on asking them through the solicitation of information and feedback. However, return rates for feedback are pretty low, and most customers don’t engage unless there is an incentive. However, you can get around this using tools that analyze past and present customer behavior to predict what they might need in the future. For example, POS data analysis can compare purchase history to buying behavior.
Using Predictive Analytics to Simulate Price Points
When you need to determine the best prices that will appeal to core customers, predictive models are a major advantage. This kind of price optimization appeals to audiences while maximizing profitability, without stressing the overall costs. Refined models do this by analyzing historical competitor pricing against consumer behavior, thereby forecasting customer loss and gain after price adjustment, helping project revenue and expenses to validate a new model.
Enhancing Minimum Viable Product
Minimum viable product (MVP) can be instrumental in balancing costs and profit, and plays a pivotal role in business model validation. MVP simulations allow businesses to test specific scenarios before making changes that could impact sales, and these include targeted ads and A/B testing. These useful models can help validate a business by highlighting the specific characteristics of a product that appeal to consumers in an existing or new market.
Finding the Competitive Advantage
Competitor analysis isn’t anything new, but predictive tools can enhance the power of existing methodologies and perform analysis much faster than humans. This can be a major benefit when you need a sustainable competitive advantage that lasts when implementing new models. Analyzing the reviews of high-volume competitors is a good example of where service gaps can be highlighted for you to capitalize on. Tools can also analyze the risk of defaulting on loans.
Summary
Getting a good idea of whether a product is right for consumers is one way using predictive analytics can help validate a new business idea. Models can also simulate price points for optimization, and AI systems are excellent for finding service gaps with sector competitors.