In the last few years, sales have moved beyond simply hitting target numbers.
The focus is now more on generating revenue, predicting growth, and making future business plans based on customer feedback and expectations.
According to LeadSquared, 53% of sales representatives review their sales data monthly to improve the sales process.
This helps them:
- Improve cash flow: Sales data provides the sales team with a complete view of the current cash position. This helps the teams develop strategies to improve it.
- Make informed sales decisions: With sales data at their disposal, the sales team can determine optimal product pricing, forecast sales, and identify upsell opportunities. They can modify prices and sales pitches to increase conversions.
- Measure sales performance: From sales growth to lead conversion rate and sales by channels, sales data enables the team to improve the sales performance and increase conversions. Additionally, teams can also monitor the number of deals closed, opportunities missed, and revenue generated.
Like large enterprises, small businesses also have access to sales data. However, they haven’t been able to leverage the data well.
Let’s identify the reasons and learn what small businesses can do about them.
The Why Small Businesses Hesitate To Use Sales Data
Unlike earlier days, small businesses have more access to sales data. From point-of-sale transactions to CRMs and sales through social media platforms, small businesses are sitting on a treasure trove of sales data.
However, despite the access and availability, the sales team hasn’t been able to fully utilize it. They seem to hesitate and delay acting on the available data.
Here are some challenges that prevent small businesses from acting on the sales data
- Lack of data ownership Data ownership is essential as it clearly defines who controls, manages, and takes accountability for the data collected. However, small businesses are often clueless about it. They don’t have well-established data governance policies, nor do they have in-house data scientists or specialists to interpret the data. Most companies are unaware of the leaders who champion data analytics initiatives. With no clear governance or ownership, the sales team is left with poorly governed data that is open to misinterpretation. This makes decision-making difficult for the team.
- Delays in reporting The sales teams still use Excel sheets and other legacy methods to produce sales reports. Additionally, the information is scattered across different tools. By the time the sales data is gathered and interpreted, the sales team is either left with inaccurate or incomplete data or forced to make decisions based on guesswork. This leads to poor sales strategies, ineffective sales campaigns, and lost opportunities.
- Slow data processing One of the main roadblocks for small businesses is the delay in data processing. Businesses need access to real-time sales data to make quick decisions and improve strategies to meet customer expectations. However, factors such as a lack of attribution, incomplete contact information, and data silos make data processing challenging. Additionally, the teams have to scan through thousands of rows and columns in an Excel sheet to analyze sales data. All these bottlenecks slow down data processing and make it hard for small businesses to stay agile. It creates a blind spot for the sales team, leading to lost sales opportunities, an impact on the bottom line, and operational inefficiencies. They lose valuable deals to competition.
- Inaccuracies in sales data Bad data is more dangerous than less data. Incomplete or inaccurate data could lead to wrong forecasting, missed upsell and cross-sell opportunities, and poor customer experiences.The sales team could end up working on incorrect data, potentially jeopardizing the entire sales strategy. In today’s hyper-competitive market, businesses cannot afford to share inaccurate sales data with the sales teams. They would lose promising customers to the competition and lose the opportunity to grow revenue
How Sales Analytics Can Help Small Businesses
Clearly, small businesses need clear data visibility to identify bottlenecks and opportunities to improve sales. However, without proper ownership and data integration, businesses are unable to develop more effective sales strategies or measure their impact.
That’s why sales analytics is so crucial for small businesses
Sales analytics helps companies collect, analyze, and interpret sales data into actionable insights. It unifies the sales data from different sources to provide real-time visibility. This helps companies:
- Identify potential bottlenecks early on
- Evaluate sales performance based on defined KPIs
- Identify sales opportunities that could generate the most revenue and true value
- Forecast trends and make strategies to capitalize on them
- Align the sales team with business goals to propel sustainable growth
- Avoid missing revenue-generating opportunities
- Improve sales productivity and operational efficiency
- Increase cash flow and make the business competition-ready
- Refocus on KPIs that generate real value rather than chasing vanity metrics
- Eliminate guesswork and make data-driven decisions based on the 360-degree customer view
Conclusion
Despite access to large volumes of sales data, small businesses have failed to capitalize on it. They are unable to make sense of the enormous data. They still struggle to move beyond Excel sheets and data silos. This delays decision-making and ruins the customer experience due to long wait times.
That’s why small businesses need low-code/no-code automation tools like Creatio and Implemify Sales Analytics app.
While Creatio can automate repetitive sales tasks and provide 360-degree customer insights in one place, the Implemify Sales Analytics App fine-tunes the sales process. It empowers every member of the sales team to make decisions that drive value.
It transforms raw data into actionable business intelligence and consolidates and interprets metrics such as conversion rates, sales pipelines, and trends. This helps the team determine what’s working, identify untapped opportunities, and predict trends with confidence.
Don’t let the valuable sales data go untapped. Contact us to get started with sales analytics.
FAQs
What is the Sales Analytics App?
The Sales Analytics App helps companies collect, analyze, and interpret sales data to generate actionable insights. It unifies the sales data from different sources to provide 360-degree visibility into customers. This helps the sales team predict trends, identify bottlenecks and sales opportunities, and build strategies to improve sales
What challenges do sales teams face in using sales data?
Lack of clear data ownership, data silos, slow data processing, and inaccurate sales data prevent sales teams from leveraging data to design sales strategies and grow the business.
How can Implemify help small businesses act on sales data?
Implemify transforms raw data into actionable business intelligence and consolidates and interprets metrics such as conversion rates, sales pipelines, and trends. This helps the sales team better understand the sales data and act on it faster to stay ahead of the competition.
