In 2017, a data-driven marketing survey found out that 70% of the respondents prioritized web traffic generation, while 68% of them said that brand awareness was crucial to their marketing tactics. Despite their interest, almost one-third of B2B digital marketers don’t know which digital marketing strategies are more effective for boosting revenues. Although data-driven marketing has now evolved into an essential tool for business development, a lot of marketers still struggle to achieve desirable results from its use. Here is all that you need to know about the top data-driven marketing platforms.
This vital data-driven marketing platform was launched in 2005, and it’s still active. In fact, globally, over 30,000 clients in more than 90 countries use HubSpot to improve their marketing strategies. Some common applications of the HubSpot platform include web analytics, SEO, 24/7 live chat support, and email and phone support, and social media marketing. Here are some of the key features and benefits of the HubSpot data-driven marketing tool.
· Personalize your landing pages, perform message-scheduling, gain access to social media analytics
· If you use HubSpot’s paid marketing software, you can improve your blog search engine optimization (SEO), integrate social publishing, and optimize your site to generate leads.
· Measure your rate of returns (ROI), and use call-to-action to drive customers through your sales funnel.
Google Analytics data-driven marketing platform
A data-driven marketing tool such as Google Analytics can help you monitor the performance of your business website. Get insights on visitors to your websites’ behavior on your landing pages, traffic sources, and your best-selling content. You can use Google Data Studio to gather reports from your digital marketing channels, aside from your website.
Google Analytics can help you learn the average time visitors spend on your website, percentage bounce rate, e-commerce sales, and uncover facts about your most profitable online marketing channels. A lot of marketers across the world use Google Analytics to delve deeper into their marketing channels. Leading companies such as Progressive use Google Analytics to improve its user experience (UX) of their mobile apps.
Tropare is a California-based data-driven marketing platform that offers self-service B2B marketing data management and field sales solutions. The company empowers sales professionals by providing them with unique prospecting tools, including mobile and desktop sales acceleration solutions. As one of the best data-driven marketing platforms available, Tropare also provides data analytics, sales intelligence, and lead generation solutions.
Bizible data-driven marketing platform
The ultimate goal of data collection is to drive actionable steps to expedite growth. A popular data-driven marketing platform such as Bizible can empower you to make strategic decisions. Track the journey of customers from the beginning to the end. If you want your marketing team to optimize their expenditure, you need to first help them understand social media trends using Bizible.
Bizible data-driven marketing software is mainly used by small and medium companies. However, its popularity is expected to expand further in the coming years. As of 2018, global spending on this must-have marketing tool stood around $800 million.
Salesforce & Oracle
Salesforce and Oracle are also cool marketing tools for business managers who are looking for systems to supplement their CRM software. With Oracle or Salesforce, you can develop a database to gather information on prospects. Using this information, you can improve customer retention rates and make better decisions to improve your ROI. It’s easier to meet the needs of consumers when you can predict where your customers come from and what their needs will be.
Marketers can maximize their ROI using Salesforce. Lucky Branding once projected 11 million US dollars in earnings within the first year of using their customer relationship management software. Advanced marketing tools such as Oracle use machine learning to identify customers with stunning precision when there are no unique identifiers.