Spread the love

Marketing algorithms play a huge factor in the future of marketing and are taking on many of the industry’s most pressing tasks at scale while helping guide major strategic decisions of the future. As algorithms advance, they become more deeply embedded in marketing processes and interact more closely with other algorithms to increase the overall level of automation. These days, every business is in the data business, and in order to make better decisions, leaders need machine learning and analytics to find actionable patterns in the data.

Many successful brands have adopted it and implementing it within their marketing, one of the best-known algorithms is used by Google to produce the most relevant page results for the searched terms, which leads businesses to spend significant time and energy ‘optimising’ a brand’s homepage. Elsewhere, Amazon’s algorithm suggests products to accompany a recent purchase, this can increase the likelihood that a shopper makes an initial purchase or becomes a repeat customer, with the personalized experience being highly sought after.

Be part of the inevitable transition process at the Marketing Algorithm Summit. This event focuses on the application of marketing algorithms in every aspect of business across different industries. Discuss with experts about incorporating marketing algorithm innovatively, learn about the latest technologies and solutions that are making marketing algorithm smarter.

WHY YOU CANNOT MISS THIS EVENT

• Explores how marketing leverages machine learning models to automate, optimize, and augment the transformational process of data into actions and interactions
• Acquire further knowledge of transforming digital marketing efficiency by applying marketing algorithm in business functions in an organization
• Steering the challenges of implementing marketing algorithm technologies by understanding which areas can be better optimized
• Adopting marketing algorithm to reduce wasted spend and make the most returns from each marketing activation