Bud Light experienced a massive marketing blunder that led to substantial financial losses and a decrease in projected annual sales due to a disconnect between upper management and marketing executives. This episode underlines the importance of data-informed decisions and understanding the target audience before launching marketing campaigns. Artificial Intelligence (AI) can prevent such mistakes by collecting and analyzing relevant data to aid marketing decisions.
Marketing mistakes happen when there’s a lack of market understanding and feedback, causing disconnect with the target audience. These disasters could stem from biased or baseless assumptions of researchers about the target demographic, leading to misconstrued data, inappropriate campaign concepts, and bad decisions. Moreover, focus groups, usually considered as the final checkpoint before an ad’s release, may fail due to bias, fear of candidly voicing out opinions, or the negligence of important feedback.
To avoid marketing failures, it’s essential to rely more on hard data rather than subjective opinion. Injecting relevant data at crucial points in the development process aids better understanding and decision-making. It’s advisable that research teams verify conclusions with the actual audience before passing the data to the creative team. Similarly, creative directors and focus groups should also align their preferences and feedback with the target demographics.
AI like RAD AI can bring objectivity into the development process by providing accurate and relevant data. RAD AI connects to more than 600 API-based data connections, translating into access to authentic user conversations, for superior audience understanding. This data can help establish data-based goals for campaigns, develop persona models, direct creative strategies, identify suitable influencers, and constantly monitor performance. Therefore, brands can strategize their campaigns based on well-defined and data-driven personas, eliminating the need to guess what the audience wants.
In conclusion, AI enhances influencer marketing with data-informed decisions, matching creative strategies with target audiences, and continuous performance monitoring. It eliminates guesswork and bias, leading to highly-effective campaigns that resonate with target audiences and drive business results.
