How artificial intelligence is helping to measure creative effectiveness in marketing
In marketing, ‘creative impact’ was once too subjective to measure. But with modern AI solutions, creative efforts can now be effectively analyzed. As part of The Drum’s Creativity in Focus Deep Dive, Meta’s Maria Pavlova (marketing science partner), Karen Chui (creative partner manager, EMEA) and Safia Dawood (marketing science partner) look at how AI tools can help marketing professionals develop more effective advertising strategies through creative effectiveness insights.
Data-driven optimization is widely adopted in digital advertising. Today’s marketing professionals have perfected audience profiles and campaign logistics. Yet, the uncomfortable truth is that creative effectiveness is often overlooked despite being the most important campaign element. Creative quality accounts for 70% of an ad’s success, eclipsing procedural elements like flighting or platform choice.
Audiences want to be dazzled and amazed, so it’s important to offer them exciting content. Unfortunately, only 60% of advertisers measure creative effectiveness. Of those, the majority collect feedback using post-campaign focus groups or surveys, making the data somewhat unreliable.
At first glance, ‘creative effectiveness’ appears too subjective to measure. However, today’s AI (artificial intelligence) solutions can effectively analyze your creative impact and are becoming increasingly accessible to marketers.
Solutions from Meta are optimizing campaigns’ creative prowess and advancing AI-enabled creative workflows. Read on to learn how, and discover case studies on brands that gained sales using creative effectiveness insights.
Cutting-edge marketers already use AI to maximize the potential within their advertising strategy. AI simplifies the creative process by helping to produce new creative assets and adjust existing ones at scale.
For example, automated software can translate content across languages, crop images to frame subjects better and generate image descriptions to make visual assets more accessible. As a result, marketing professionals are uncovering new artistic heights and reimagining how to convey messages across mediums.
However, AI is able to take an even larger role within the advertising life cycle and assist marketing teams in planning and optimizing content like never before.
AI tools can help marketing professionals develop more effective advertising strategies based on audience interaction data. This continuous approach to ad optimization is the future of marketing and will help brands lead with content that audiences love.
Measuring creative effectiveness begins with Illumination, which provides initial insights and builds a model to predict future campaign performance. The results help uncover your next big campaign idea and guide your creative process in later stages.
Algorithms begin by analyzing anonymized and aggregated historical data on consumer behavior and identifying which creative elements are most common among your highest-performing ads.
The result is a framework that helps marketers compare different advertising approaches and discover the most effective one before the campaign begins. In turn, marketing professionals can generate new creative assets with more confidence and exceed audience expectations more effectively.
