Jay Leonard
Predictive analytics is a useful data processing system that can help businesses understand and predict customer behavior and organizational performance. If you want to become competitive in your digital marketing strategy, using predictive analytics can help you improve your ability to discover opportunities on how to optimize your marketing campaigns. Generally speaking, predictive analytics are widely used by internet marketers to grow their business conversion using data gathering about the transaction behavior of customers and the historical performance, capacity and the success of a digital marketing campaign.
Why your business need to use predictive analytics
A crucial aspect of every digital marketing strategy is identifying market trends and understanding customer needs and preferences. Using predictive analytics, you can acquire important data that can help you correlate customer activities and behavior to help you develop an effective marketing strategy that can nurture potential leads to convert them into sales. Digital marketers use predictive analytics as a business intelligence tool to help them build more advanced insights on the market trends and customer behaviors to obtain the opportunity of integrating them in their digital marketing campaigns.
Using predictive modelling in analytics
Marketers will be using predictive models that are used in processing historical data using various metrics and scores. While it can be daunting to manage large amount of data for your business analytics, the use of predictive model makes the process more convenient as it summarizes the information available from your data and amplifies its significance to your business. The predictive model has the ability to automatically identify relationships from your data and make predictions that you can use in forecasting future marketing campaigns.
The weave of data available for analytics are grouped together according to their relevance and market relationships using metrics. The eventful results will give a marketer a clearer vision about their customer behavior and to identify market opportunities for their business. For instance, the predictive analysis report will give you information about the likelihood of a certain customer to make a purchase or you can identify their interest on particular products that they will likely to purchase based on their search history. The predictive analytics process help marketers discover different marketing opportunities by correlating vague data and translating them into significant actionable data to use for mapping out marketing strategies.
Among the advantages and benefits of applying predictive analytics to your business is defining more accurate goals in your digital marketing campaign. You can:
- Nurture potential leads for your business and undertake the appropriate marketing strategy to make them convert.
- Focus on what your customers want and deliver to them exactly what they are willing to pay for.
- Create a methodology on how to approach your digital marketing campaign, according to its relevance to the current market trends.
- Identify which of your marketing strategy brings positive engagement to customers and fine tune them further for more efficient business productivity results.
- Use the obtained data analytics and report to improve the customer experience to your business.
- Grow business opportunities and revenues.
- Identify market trends on where to focus your marketing campaigns that will yield better results to your business.
Use predictive analytics to help you make accurate business decisions
By using the data report from predictive analytics, it becomes easier to make business decisions without the guesswork. Prior to the influx of big data and analytics, most companies have to undertake a trial and error process without an accurate directional insight on what will work or not. Using predictive analytics, business marketers can optimize their decision making process using predictive analytic models in identifying potential market opportunities. The process allows online marketers to take a more accurate steps in identifying the most effective and productive market undertakings based on the custom data created relevant to their marketing goals. Use predictive analytics to define the structure of your decision making process to identify market challenges and use the data in creating action-driven solutions for your business.
Optimizing decision analytics for business
Most online businesses must have already gathered unimaginable loads of data today. However, they will remain merely as statistics and figures unless they are translated into meaningful data for business. Predictive analytics involves the process of converting data into meaningful figures and information. You can help the process yield better results if you know your marketing goals to help direct the process of acquiring accurate information that will be significant to your business.
The predictive analytics model uses metrics based on your marketing goals. From there, you can access significant data to explore and translate into a targeted marketing model that can yield potential outcomes in your business marketing campaign. The cycle of using predictive analytics will help you make the appropriate decision making process involving your digital marketing campaigns. Prior to implementation, you already have acquired access to vital information that can help identify predictive revenues in your marketing campaigns. With relevant data available, such as the current market trends, customer behavior and their purchasing habits, product needs and preferences for instance, you can explore various marketing campaign strategies using the information to optimize revenues and sales.
Using predictive analysis, you can validate potential marketing outcomes prior to the implementation of your digital marketing campaigns. Using the predictive model, you can obtain better marketing insights and predictive response of the consumers to your services or product offer. Thus, the cycle in marketing analytics continues from data access –> data exploration –> modelling –> implementation of your business marketing campaign.
The predictive analytics innovation in business
Digital marketing can be a daunting task, especially when you need to understand a vast data and translate them into meaningful insights for your business. Using predictive analysis, it is more convenient to set aside the overwhelming data revolution by using a predictive model that summarizes complex data available for you.
- Predictive analytics educate you about the market innovations involving your business industry.
- Allows you to focus on relevant information when defining your marketing strategies.
- Explore potential digital marketing challenges and find the viable solution using actionable data.
- Engage big data initiatives to focus on specific market values for your business.
- Execute a targeted marketing campaign and continuously monitor the predicted outcomes for improvement.
Your business needs a more flexible digital marketing campaign that will be based on the current market trends and demands of your business. Digital Warriors have the comprehensive digital marketing services such as IT consulting, marketing analytics, social media marketing, search engine optimization and web design and development. We can help grow your business analytics capability and grow its online popularity.
Download this eBook on Big Data here: http://www.digital-warriors.com/big-data-marketing-analytics/
Read more:
- Why Predictive Analytics is Better than Stuffing with Turkey
- March Madness Hashtags, Predictive Analysis and You
- Mistakes When Building Predictive Analytics and How to Overcome Them
This article was written for Business 2 Community by Jay Leonard.
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This article was very nice and had great information content as well. Predictive analysis has been used by many since long and is one of the most effective ways of understanding your product sale and customer behavior. Thank you so much for the share.
Predictive marketing can be complex, and the Big Data can be overwhelming. And just like Jason mentions, you need to not only understand vast amounts of data but also translate them into meaningful insights.
The only way way to solve this problem is to hire a team of data scientists who can spend a lot of their time collecting, organizing, cleaning and integrating data. Fortune 500 companies can afford to hire teams of data scientists but most other smaller businesses don’t that many resources. They could look at predictive marketing solutions (http://bit.ly/1w9xXxE). They have teams of experienced data scientists who do the data analysis and predictive science for you.