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Given a traditional ETL workflow, the extract-transform-load process holds a considerable responsibility. However, data validation is a criterial step in that process which is why EVTL (Extract, Validate, Transfer, Load) might be a more suitable format. Read this blog here.
The link between B2B lead generation and prospect development isn't always obvious to sales and marketing professionals, but these steps can help. Read this blog here.
Data and analytics techniques have introduced efficiency and optimization to numerous processes, and when sales and marketing leaders implement them properly, reliable data reinforces a virtuous cycle of success. Read this blog here.
The explosive growth in BDBA for sales and marketing technology is fueled by the demand for data, to drive more efficient business decisions and process in reaching customers and attaining company results. Read this blog by Troparé's VP of Sales here.
With a shift in power from industry to consumer, traditional marketing has forcefully undergone a radical transformation. Read more about this newly established approach here.
Sales prospecting is one of the most time-consuming stages in the sales cycle, and unfortunately often does not result in a reward. Read how you can overcome your prospecting hurdles here.
Data-driven marketing techniques are increasingly prioritized in CMO’s agendas across the globe. Read more about the impact of hyper-personalization on today's lead generation here.
With personalization being the ‘new’ undertone of every outbound data-driven marketing effort, how does sales live up, and contribute, to this same phenomenon? Read more about the increasing need for sales enablement here.
Data, data, and more data. With modern day marketing required to be more personal than ever before, marketing departments are becoming more data-driven than ever before. Read more about the schift to personalization here.
Targeting, deciding which offer to send to which customer, often relies on the marketing team’s ‘gut-feeling’ of what the right audience is for a campaign. Can machine learning, combined with data driven marketing, allow organizations to exceed traditional best-practice marketing approaches? Read about it here.
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