Customer Is King: A Win-Win Situation
The conventional approach to direct marketing and campaign management primarily focuses on internal company processes over the needs and choices of customers. There is an improved way to approach campaign strategies and it’s about building and executing strategies around customer needs over internal processes, leading to better revenues and customer satisfaction. Predictive analytics and machine learning help you sift through your data to provide you with accurate predictions on what to expect next. It can look at consumer data for specific campaigns and tell you what’s working, what isn’t, and what you can do to cross-sell, up-sell, and increase your revenue.
Predictive analytics offers accurate data on what a customer wishes to purchase, when they’ll buy it, and what items they are most likely to purchase.
Creating, Optimizing, and Executing Campaigns:The Best Approach
One of the main issues faced by marketers is the influx of data. They need tools to help them comprehend this data and adjust their existing campaigns to changing market conditions. Data is useful only when it’s quantifiable and decipherable. According to a study by Forrester, brands that use integrated marketing analytics platforms enjoy enhanced marketing performance, leading to increased message relevancy, and lower expenses and inefficiencies. The next big question is: what’s the best way to leverage data to your benefit and optimize your marketing campaign?
GET THE RIGHT TOOLS
The only way to gather and comprehend all the data captured is by using the right tools and ensuring they are worth the investment. You must select those that are convenient for marketers and non-marketers because multiple stakeholders would be accessing this data to make decisions. Using the right tools enhances your team’s performance by providing the right information required to make the right pitch, at the right time.
INTEGRATE THE TOOLS WITH YOUR EXISTING SYSTEMS
As an extension to the previous tip, before choosing a new predictive analytics tool for your campaign, ensure it is the right fit for your existing tools. Whether you are leveraging a CRM or a data management platform, the latest tool needs to be capable of accessing and processing the current data. Overlooking this aspect will lead to gaps in the data, thus affecting the dependability of the analysis generated.
MEASURE THE METRICS AGAINST BUSINESS OBJECTIVES
In the world of business, it’s all routed back to ROI, and with marketing, it isn’t any different. With every campaign, your marketing efforts need to have an immediate effect on the metrics and the overall progress. Be it revenue enhancement or tracking customer acquisition and retention, the right analytics tools and metrics should provide a quantifiable picture of the actual results that matter.
AVOID ANALYSIS PARALYSIS
Data and analysis are key to creating an omni-channel strategy. However, everything needs to be implemented in moderation. Data overload can lead to a destructive effort instead of a constructive one. It is difficult to make informed decisions, especially when you feel that all data provides insights. Once the reports are generated, everything boils down to the marketer making the decisions needed to create compelling, profitable campaigns. What you need to ensure is that these insights are quantifiable and productive for your marketing campaign.
Doing It Right, with DecisionMinesTM
Enhanced predictive capability and improved data optimization enable more informed decisions and, in turn, promise a better ROI. To become a growth engine, an organization needs to embrace smart analytics right away. While gathering enormous amount of data is tough enough, being able to use it effectively is critical.
Our digital decisioning platform, DecisionMinesTM, empowers business leaders to make informed decisions by synthesizing the Art of Judgment and the Science of Data. We go beyond investing in the basic blocks such as analytics, discovery, and automation. With DecisionMinesTM, we leverage data to determine which pieces of data to actually gather and turn that data into action.