Data analytics has revolutionised the practice of digital advertising and brand promotion.
The internet hosts a virtually endless wealth of data about consumer interests, locations, translations and more. All of which are being transformed into increasingly diverse sets of data. Analytics tools can then turn this data into valuable insights that inform a business’s advertising and brand promotion efforts.
Industries and sectors across the globe use these insights to make informed decisions about their digital marketing campaigns, platforms and strategies. The data can then assist in targeting ideal customers and customising campaigns. This allows them to reach the right people with the right messages online.
By analysing the masses of data available, marketers and brand strategists can create target messages for their audiences. Plus, they can improve their marketing ROI and ensure ongoing lead generation and sales figure growth. Data-driven automated advertising can also personalise consumer interactions, create loyal communities of followers and customers, and decide which channels work best for promotion.
What is Data-Driven Advertising?
Traditional marketing and advertising practices, including standard online campaigns, are no longer as effective as they were at the turn of the decade. Data-driven advertising reaches beyond this conventional approach. It enables businesses to personalise and target their campaigns. All while ensuring the most effective possible timing and placements.
Data-driven advertising relies on the use of automation and artificial intelligence to automate and scale the delivery of marketing and branded messages to customers at a highly engaging level. It uses your own data about consumer behaviour and other valuable data extracted from other databases to create meaningful interactions and better customer journeys.
The Benefits of Automated Data-Driven Advertising
Here’s how your business may benefit from automating its data-driven advertising methodologies.
Create Strong Emotional Connections with Target Groups
Data-driven advertising helps to gain insights into how customers engage with a brand, and what they want to see in online marketing campaigns. Businesses that automate their advertising can create highly targeted and personalized campaigns. These campaigns will resonate with core target groups and convert them into leads and sales.
Develop Optimal Media Buying Strategies
Data analytics can provide key insights into the demographics, behaviours, interests and spending habits of your target audiences. It eliminates the guesswork. Instead, it allows you to use real data to build media buying strategies based on what your target audiences expect from your brand.
Mitigate Advertising Risks and Reduce Expenses
Predictive analytics uses AI, statistical algorithms and data to predict consumer responses to, and outcomes of, specific marketing approaches. This technology can help to create engaging and targeted strategies based on insights gained from the performances of past campaigns and branding approaches.
Predictive advertising can help you to fully use data sets to your advantage. They drive sustainable business decisions while automating the process to save time and money alike.
How to Get Started with Automated, Data-Driven Marketing
Get started with your automated marketing campaigns using these approaches.
Use Demographic Data to Craft Marketing Campaigns
Data should form the foundations of your marketing campaign planning processes. You need to know exactly who you are targeting with your messages. Using demographic data like race, age, religion, gender, family size and income, education level and other information can help.
Demographic data is widely available in the forms of self-reported data, census data, and more. Data extraction processes make it possible to gain accurate insights into consumer target groups. And to use these insights to effectively engage these groups using demographic data. Businesses can also improve customer retention and loyalty by using demographic data to shape their marketing and brand promotion efforts.
Use Data to Create Cross-Channel Marketing Strategies
Cross-channel and multi-channel marketing campaigns differ in a number of key ways. The latter simply means that a brand has a presence on more than one digital channel. Cross-channel marketing, on the other hand, provides a seamless consumer experience across several channels, like websites and social media platforms.
Businesses can use proven engagement, acquisition, and retention data to create models that structure their marketing strategies and monitor performance trends. Google Analytics is one of the most popular tools available to measure marketing performance and gain even more valuable data. Data-driven, cross-channel marketing increases engagement and improves brand loyalty, while improving a brand’s competitive advantage in these areas.
Automate Data-Driven Advertising Strategies
Data can get put to use in developing automated marketing strategies. Collecting data from each touchpoint of a consumer’s journey with a brand can aid in the creation of more relevant marketing messages and media. In turn, this can boost the efficacy of campaigns and maximise their ROI.
Businesses that use data-based automated marketing tactics may enjoy a customer acquisition advantage too. These brands are better able to attract interested leads. In turn, this improves their sales.
Using marketing automation software can enable you to send thousands of personalised marketing emails and campaigns to the right clients and target groups. At the same time, you’ll determine which leads your business should engage most often.
Automated data-driven marketing is a valuable tool for businesses that want to reach specific target audiences with tailored advertising messages.
Automating your digital marketing and using data to inform your approaches can boost your lead generation and sales numbers. It can also foster lasting consumer engagement and loyalty and help to improve your brand’s recognition in the growing eCommerce space.