MarketStar Blog

Sales organizations have an unprecedented amount of data available at their fingertips. While it’s easier than ever to access big data, the data itself can be overwhelming. In fact, 53 percent of sales managers say they feel overwhelmed by the volume of data, and 38 percent admit that they don’t know what to do with data once they get it.

You and your team of salespeople likely excel at closing sales. You likely have a firm grasp of managing your top enterprise accounts. However, managing a funnel of leads and prospecting and qualifying them for growth are also likely consistent challenges.

You aren’t alone. As data shows, 25 percent of leads are legitimate and should advance to sales, but 79 percent of marketing leads never convert. What’s more, 73 percent of leads are not sales-ready, and 50 percent are qualified but not yet ready to buy.

The industry has become both increasingly accessible and competitive thanks in part to improved tools and software. On one hand, technology has simplified and automated an array of processes. On the other, it has created a demand for sales teams and their managers to stay up to date.

These days, deploying the right technology and tools is essential to success. According to a recent report, the tools that a sales rep uses are highly correlated to the rep’s performance. In fact, 82 percent of top salespeople cite sales tools as “critical” to their ability to close deals.

You already know that inside sales drives more revenue at a lower cost. However, in order to manage teams and ensure a steady flow of leads, this requires appropriate tools and technology.

As big data becomes a reality for businesses looking to manage large volumes of information, data analytics tools have emerged as a reliable way to identify trends and patterns and monitor buyer activity. These tools create a better understanding of your prospects. And while this may be a no-brainer, information-based decisions are better than arbitrary or judgmental ones. 

Channel partners have become more diverse than ever, making it hard to rely on one or two profiles to build an effective support and coverage model. This diversity only grows as you move further down the list of channel partners until you reach the bottom tier, where most vendors see the mix of high diversity and low revenue potential as a reason to write off any support beyond a portal or website. If you want to capture significant long tail revenue, you need to avoid generic messaging and give partners effective communication that fits their specific needs.

What is Customer Success? 

Customer success simply means focusing on the results your customers get from using your product¹. The more successful outcomes your product generates, the likelier they are to continuing using it. This might seem like common-sense, but involves a basic shift in thinking – from products and features to outcomes and business benefits. That is, focusing on why customers bought your product and whether those needs are being satisfied.

Google Analytics is a powerful tool that helps businesses track and analyze this behavior, providing insights into key metrics like cookies, bounce rate and exit rate. These metrics offer a window into how visitors interact with your site, revealing which pages engage them and which drive them away. By effectively interpreting these data points, businesses can enhance user experience, improve content, and ultimately increase conversions.

In the ever-evolving landscape of digital marketing, understanding and targeting the right audience is crucial for success. Data Management Platforms (DMPs) have emerged as powerful tools to help companies navigate this complexity. DMPs enable organizations to collect, organize, and analyze vast amounts of data, facilitating precise audience segmentation.

Programmatic advertising is still a relatively new discipline, and brands remain unsure about the best approach to follow. The eventual goal for programmatic advertising is to serve ads to targeted consumers in a more efficient and timely manner. However, the complexity lies in the fact that there is considerable variation in the automated platforms aiding the campaign execution, as well as in the way in which the results are measured and quantified. Companies should therefore first decide on the metrics they will be using for tracking their ROI of the programmatic spend. 

Various companies have approached their digital marketing needs with programmatic marketing. We will be discussing five instances where these brands have disrupted their respective industries with a programmatic advertising approach. 

Did you know that B2B marketers who use Twitter generate twice as many leads as those that do not? (Source: InsideView) Or that 55% of B2B survey respondents search for information on social media (Source: Mediabistro)? Your customers are tweeting their frustrations, liking pages of brands they would like to be associated with on Facebook, viewing videos of similar solutions on YouTube, posting queries on forums to make decisions. Not monitoring and indulging in these discussions means losing out on crucial information about valuable prospects and alienating your potential customers.