Salesforce Data Quality Challenges, Priorities and Lessons

3 Mins
27/03/2025

Last week, experts from Creditsafe and Sallyport Commerical Finance teamed up to explore new ways to close more deals with confidence.

For a lot of companies, your financial health, cash flow and longevity rely on closing deals: as many as you can, as quickly as possible. But just because you can close a deal doesn’t always mean you should.  

Think about it: let’s say your sales team has put in hours of work on closing an exciting new deal with a customer. But at the last minute, the finance team decides that working with that customer is just too risky – they aren’t confident that the potential customer will pay their bills in good time. Now, everyone’s frustrated.  

But how can teams work together to close more deals – not just any deals, but good deals that will push the company forward – without good CRM data? The answer is, they can’t. In our recent webinar Close More Deals With Confidence, I sat down with Creditsafe's Jack Davis and Sallyport's Calum Williamson to discuss how a Salesforce integration was a game-changer for Sallyport.  

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Chapter 1

1. Having low quality data can be worse for sales productivity than having no data at all

In our research study The Sales vs. Credit Control Battle, we found that only 31% of respondents rated their CRM data quality as “excellent.” But about half said they believe the quality of the data in their CRM is “very important” (another 44% believe it’s important or somewhat important). What does that tell us? Well, sales and finance teams both understand that data quality can make or break a company’s revenue cycle. But not all of them understand what they can do to make their existing sales data work better for them and, ultimately, improve their sales performance.

With b2b data decaying at up to 70% per year, it’s easy for your CRM to become cluttered and inefficient. And Sallyport was no different. “The data we had in our CRM was rubbish,” Williamson shared. “There was about 10 years of garbage that needed to be cleaned up – we needed a system that meant we had good data for now and for the future.”  

When your CRM is disorganized, it’s all too easy to make mistakes when it comes to choosing which leads to chase and, ultimately, who to work with. If your data isn’t up to date, your sales team could spend hours chasing a deal that, ultimately, won’t benefit your company – if it even gets past finance in the first place.  

Office collaboration
Chapter 1

2. Not getting up-to-date information on companies can be a sales productivity killer

Bad CRM data has a knock-on effect on nearly every aspect of your revenue cycle. Remember the example we used before, about the finance team squashing a deal because the sales team wasn’t able to perform in-depth credit checks on the potential customer? That’s just one way bad CRM data could hurt you. There are other, smaller ways that outdated or inaccurate data could nip deals in the bud.

Think about it: you could have the best product in the world and know exactly who you’d like to sell it to – but if your CRM data has the wrong name or contact information, it never even has a chance. Now, your sales team is spending time figuring out why their emails are bouncing and leads aren’t calling back. Plus, if they can find the right information, now they have to spend the extra time updating your CRM with it.  

“We ran into plenty of last-minute issues when it came time to close deals,” Williamson says. “Sales would pursue a lead and nearly make it over the finish line, but then we’d find out that the company had multiple tax liens that made them too much of a risk to work with.” The time spent working on that lead, that ultimately didn’t end up amounting to anything, would have been much better used working on deals with businesses that were in a strong financial position. And the way to find those businesses? By making sure your CRM data is accurate and up-to-date.

Productive business meeting
Chapter 1

3. Businesses opt out of credit risk integrations to improve data quality because they think it's too difficult

Have you ever procrastinated a task that, when you finally get around to it, turns out to be much simpler than you thought it would be? Well, welcome to credit risk integrations.  

Sometimes, these integrations carry a bit of stigma with them: businesses are worried that the time it would take to implement the integration and train employees on how to use them would be too much work to make the integration worth it. And that’s not the only worry we hear about. In our research study AI’s Role in Business Risk, we found that 22% of finance managers believe automating financial processes will add to their already heavy workloads, or that they’ll be too hard to learn and implement. Maybe it also has something to do with the fact that 48% of respondents said the finance team is more fearful of AI than other departments in their company.

We’ve talked before about how working with technology and automation, rather than against it, could actually be the key to unlocking growth in your finance career. But when teams are fearful about implementing that technology in the first place, there’s not much room for anything like that. So what can we learn from that? When you’re looking for a credit risk integration, simplicity and ease-of-use are key. You need to find a solution that can get up and running in a few minutes and easily integrate into your company’s existing workflows.  

Sales data
Chapter 1

4. Having high quality data from the start can increase sales performance and revenue

It’s no secret that the cost of doing business is steadily increasing. In our research study Perils of Rising Debt and DSO, 74% of respondents said their operating expenses have increased in the last 12 months, with another 58% saying their long-term debt has increased. We’re seeing that play out in a rising DSO, with 57% of businesses reporting their DSO has increased in the last 12 months.  

When companies overall are more likely to pay you back late, it’s more important than ever to make sure that your business only works with customers in good financial standing. Checking a business credit report is a great first step, but you need to make sure you’re looking beyond the credit score. Look at metrics like Days Beyond Terms (DBT), which will tell you how many days, on average, the company pays their invoices late. As Calum said during our webinar, it’s also crucial to check out legal filings – if a business is tied up in litigation, or in trouble with the tax man, it could be a sign to steer clear.  

It’s great to avoid working with companies whose financial status is questionable, but the way to really increase sales performance and revenue is to make sure that information is available from the very start. When sales teams have access to clean, accurate data, they can make smarter decisions about which leads to pursue and, ultimately, close more deals with confidence.

Leighton Weston

About the Author

Leighton Weston, Global Account Director, Creditsafe

With over 15 years of experience in enterprise SaaS sales, account management and data integrations, Leighton has a deep understanding of what businesses need to minimize their risks. Since joining Creditsafe in 2008, Leighton has held roles in both the US and UK where he has nurtured sales executives and created processes to improve revenue operations. He was also instrumental in setting up the US office for Creditsafe when it launched in 2012 and has since helped some of the world’s most trusted brands protect and grow their businesses, including Netflix, Pinterest and Ping. 

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