Why CRM Contextual Data Matters

Why CRM Contextual Data Matters

The promise of a complete customer view (i.e. 360-degree view) sounds attractive with improved understanding, higher quality engagement, and increased sales. But is the reality living up to the promise, and is your CRM actually costing your business revenue?

We would like to show you how to get an accurate customer picture and access the data you need, at the right time, in the right context.

In our webinar, we discussed how pursuing a 360-degree view can (actually) be an inhibitor to your success, why context matters in your customer view, and how to leverage Artificial Intelligence (AI) to improve data quality. To access the full web

Below are some key takeaways from from the discussion between Nicole France, Vice President and Principal Analyst at Constellation Research and David Campbell, Vice President of Product Marketing at SugarCRM:

Make Your Case

You work in a corporate environment, where changes are usually slow to make, and your customer data is extremely siloed. According to our CRM and Sales Impact Report, customer churn is costing companies $5.5 million a year. To bring decision makers on board, you will need to back your plan with factual data, and prove how having unified customer data will be beneficial in the long run.

Why CRM Contextual Data MattersDuring our webinar, we asked attendees whether they think their CRM has CRM 360-degree view. These are the poll results.

Plan Strategically, but Act Tactically

You use your CRM to store customer data from sales, marketing, and service teams. Should you start implementing your contextual customer view on all three fronts at once? You certainly shouldn’t—first, identify where most of your pain points lie, and where your changes would make the biggest impact for employees. Only when you’ve resolved your main concerns should you move on to other segments of your business.

Why CRM Contextual Data MattersDuring the webinar, we polled our attendees on their thoughts on Artificial Intelligence as a useful tool.

Look Towards the Future

When optimizing your customer data views, you should also look at future-proofing your data by means of Artificial Intelligence (AI). A CRM with AI capabilities can help uncover insights unique to your business—even with limited or incomplete CRM data, and makes predictions that help you make better business decisions in significantly less time.

If you would like to learn more about CRM contextual views and data quality, we highly recommend these resources:

Paul Scondac
Paul Scondac Paul is an experienced Senior Content Marketing Manager with a demonstrated history of working in the information technology industry. His skillset includes content and email marketing, team management, CRM and Marketing Automation, and more. While not working, Paul enjoys playing videogames, walking his dogs, attempting to cook, and the occasional trip to Starbucks.
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