Sunday, September 13Digital Marketing Journals

Tag: DataDriven

Data-Driven Decision Making To Optimized Local Digital Marketing Efforts
googe optimize, google optimization, google seo, Local Search, pagerank, search engine optimisation, search engine optimising, search engine optimization, SEO

Data-Driven Decision Making To Optimized Local Digital Marketing Efforts

If you’ve been involved in any sort of marketing over the past 20 to 30 years, you’ve no doubt heard the phrase “Content is King.” This may very well be true, as content in its many forms underpins all interactions between businesses and their target audience. However, if “Content is King,” then data is an omnipotent force directing the King’s every move. This is particularly the case with digital marketing, where nearly all interactions and engagements can be monitored, analyzed, and optimized. To put it simply, data helps us to understand what is working and not working so we can focus our attention on doing more of the former and less of the latter to drive results. Start With Actionable KPIs For small local businesses, which don’t typically have a great deal of time or resources to all...
4 Data-Driven Digital Marketing Tactics to Embrace in 2021
ads, data, data-driven marketing, Digital Marketing Trends, facebook, facebook marketing, future of content, instagram, Marketing, Social Marketing Strategies, social media, social media marketing, tiktok, youtube

4 Data-Driven Digital Marketing Tactics to Embrace in 2021

The new year is fast-approaching, so it’s high time that we evaluate our marketing strategy and come up with tactics to shake things up. Digital marketing is one of the fastest-changing industries out there – is your marketing strategy agile enough to adapt? There have been multiple marketing innovations introduced in 2020 (driven by both technology and the pandemic that has changed all the aspects of our lives), yet one trend is the most prominent one: Data Never before have brands had access to so much marketing data that includes: Internal / private data (customers’ emails, buying preferences, etc.) Public data (like competitors’ identifiable marketing tactics, overall shopping trends, etc.) You don’t need to be a data scientist or invest hundreds of thousands of dollars in data colle...