How does the Cocktail Party Effect relate to marketing?
Consumers are exposed to between 6,000 – 10,000 ads. Every single day. That’s a lot of background noise. Could you recount even a fraction of those ads? Neither can we. That’s because we filter most of them out. Meaning that most ads simply become white noise. This is a significant challenge for marketers. As industries become more competitive and channels become more saturated, brands need to do all they can to stand out from the crowd.The power of true personalisation
For marketers, personalisation can emulate that singular, engaging conversation that we focus on at the noisy cocktail party. However, it’s 2021, and personalisation has come a long way since the simple first name tactic. To stand out in the marketing space, brands need to focus on true personalisation. True personalisation means having a deep understanding of the customer journey. Being able to predict and act upon customer needs. The products they buy and the pages they browse. And sending the right message at the exact right time.4 key types of data
True personalisation can only be achieved through high-quality data and the use of an AI marketing platform. Fortunately, data can be accessed in a multitude of ways: Demographic data This refers to basic data on an individual, such as their name, age, gender, ethnicity, and profession. It can be used to gain a high-level understanding of an audience. As well as for basic personalisation. Behavioural behaviour This data is gathered from how an individual engages with a brand. This could include the pages and products they browse, the emails they open, and the social media channels they follow. Purchase data Purchase data refers to the products and services that an individual has bought, or regularly buys. Location-based data Location-based data refers to where in the world a recipient is based. Whilst this could fall under demographic data, there are some sophisticated personalisation techniques that can be executed using this information.5 ways to achieve The Cocktail Party Effect with personalisation
Once this data has been gathered, brands can utilise it in their marketing to create truly personalised experiences and journeys for their consumers. Here are some examples: Triggered emails Triggered emails generally refer to communications that are sent as immediately as possible after a consumer makes an action. Abandoned basket reminders Abandoned basket reminders allow brands to recover lost revenue when a consumer adds a product to their basket, but never gets to the final stage of checking out. Post-purchase updates Post-purchase updates reassure consumers in the final stages of their buying journey. They can include purchase confirmation, delivery notifications, and even ratings requests. Replenishment campaigns A key element of true personalisation is predicting consumers’ behaviour. If a consumer makes a regular purchase, such as medication or cosmetics, then brands can remind them when it’s time to repurchase.



