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Testing as a Sales Process: Driving Results Through Experimentation

Published Date: Thursday, May 11, 2023
Last Updated on: Wednesday, Sep 13, 2023
Testing as a Sales Process

Over the past decade, sales leaders have awakened to the power of analytics. Enablement tools and software now rule the market in B2B sales 鈥 giving businesses access to rich troves of data, powerful insights and huge opportunities to scale revenue, when used in the right way.

The reality is that many organizations don鈥檛 scale their revenue with data. Even well-funded business analytics are complex and difficult to interpret, subject to limitations or too thin to draw any real insights from.

For a more complete approach to sales analytics, we argue that organizations need to continually test their process and strategy 鈥 no longer a 鈥渘ice to have鈥 but a necessity in the modern B2B market.

In this article, we explore why you need to adopt a culture of experimentation to drive revenue success.

What is sales testing?

Sales testing is the process of running analytically focused experiments to improve areas of your strategy or sales initiatives. A 鈥渢est鈥 typically involves tracking data and applying research techniques to validate assumptions on sales performance, with the aim of improving efficiency and results over time.

Testing measures, analyzes and validates your existing processes. It keeps your strategy fresh and your data relevant. In terms of what a 鈥渢est鈥 looks like, it will be subjective and depends on your current processes.

In theory, a sales test could compare anything in your strategy. This could be small tweaks in email subject lines and calls to action (CTAs), to more extensive experiments, like A/B testing, buyer personas and return on effort.

Why aren't more teams testing?

Testing is nothing new to the world of business. For marketing, it鈥檚 been a consistent part of Conversion Rate Optimization (CRO) since the turn of the century. In fact, roughly听s.听Yet, when it comes to sales, teams across the globe remain behind the pace.

So why aren鈥檛 more sales teams听doing听颈迟?听Many companies are hesitant to 鈥渕ess with鈥 their revenue because they fear failure. Some may be set in their ways and unwilling to allocate resources because they worry it may impact quota attainment and their current revenue generation.

When existing sales programs are yielding positive results, leaders may not see the value in testing, even if there is a hidden, untapped opportunity. However, those that fail to test continually face the risk of strategy saturation or even expiry. No matter how well-oiled, choreographed or even data-backed your processes are, they will听always听benefit from continuous improvement. You don鈥檛 need to fix something that isn鈥檛 broken, but there鈥檚 always the potential to boost returns or efficiencies.

Why testing is critical to your sales process

Testing helps your sales leaders and strategists keep a finger on the pulse of your operations.听It enables them to proactively identify problem areas and new methods for uplifting revenue. It鈥檚 really a sophisticated, business-level approach to avoiding saturation and keeping processes fresh, optimized and moving with the speed of the market.

Year-on-year sales and marketing strategies fall short to new demands, expectations and buyer behaviors. Without constant testing, businesses face an ever-growing risk of falling behind. Given the intensity of modern market competition, this isn鈥檛 just a threat to quota attainment, but to your entire operational existence.

Without testing, legacy sales techniques that may have worked previously get passed down without any ambition for improvement. Processes become hereditary. They don鈥檛 move with the times. The end result is a drop in performance as sellers no longer evolve to satisfy the market, but simply repeat age-old practices out of habit rather than design. At its most basic level, testing removes this uncertainty, giving your leaders alternative routes to market, based on real-time, tangible results, not assumptions or ancient data.

Meaningful sales analytics

One of the greatest limits on business intelligence data is that it can be one-dimensional, skewed or seasonal. Regular testing gives you richer, deeper and cleaner data analytics, stemming from contrasting data sets and multiple channels, rather than a single source. This means, when it comes to reviewing data, your analytics are far more rounded and complete, and therefore more meaningful. These insights take your data analysis from descriptive and diagnostic to predictive and prescriptive.

Increased team effectiveness

Testing pushes leaders and teams to innovate and find more effective ways to generate leads and convert.听79% of marketing leads never convert to sales听according to Invesp. This is commonly due to a lack of relevant nurturing. By testing, teams can strategically identify a prospect鈥檚 pain points, challenges and behaviors and establish a playbook of best practices.

Improved pipeline velocity

Sales testing can help improve pipeline velocity by up to 30%, especially at top-of-funnel. Speed is the new currency of business. Buyers today demand a quick first response; it鈥檚 no longer a luxury but an expectation in the B2B landscape. Currently,听. With an effective testing strategy, businesses can understand the best approaches to handling and qualifying leads, reducing speed-to-lead and speed-to-qualification, and improving meaningful conversations by 7x.

Better resource allocation

By grasping their processes in more detail, your leaders can understand the areas that generate their greatest ROI. This helps your leaders align resources and capacity to where seller time is best spent. Companies successful at sales planning and resource allocation increase sales productivity by听.

Stronger decision making

Richer, cleaner data can only strengthen decision making. By pulling data from a variety of experiments, businesses can tap into 鈥渂est practices鈥 that improve ROE/ROI and share this team-wide. This data gives leaders and strategists the insight to drive more effective operational decisions that are backed by data, reducing rep attrition at the same time.

How to conduct sales testing

Not every business has an environment that is conducive to successful testing. A culture of experimentation relies on inside sales reps that actively show curiosity and a hunger to learn, adapt and innovate. This can be impacted by internal factors like team agility, maturity, company culture and, critically, tech stack.

Most organizations will get the most value from simple business experiments. It can be easier to draw conclusions with data generated from A/B tests, rather than historical conversion data. First, managers need to embrace a test-and-learn approach, testing a single control group of prospects. You should interpret outcomes through the lens of Kaizen methodology, and contrast them with existing processes鈥 performance. This small-scale approach can yield huge improvements in engagement, though it only scratches the surface in terms of testing potential.

For testing on a bigger scale, there are two common methods:building an experimentation department听or outsourcing.

Building an internal experimentation department

Internal testing starts by allocating headcount to a 鈥渟ales lab.鈥 This is a dedicated environment for trying alternative strategies and processes. These sales development representatives (SDRs) execute variations within touch patterns, appointment setting, and the curation of buyer personas that are noticeably different to the strategies used on the sales floor. While effective, this approach may hinder quota attainment at first as you鈥檒l need to reallocate physical selling time to testing, execution and ramp.

Outsourcing to a lab

A more efficient and proactive model for testing is听outsourcing to a sales lab. These facilities apply their existing headcount and resources to service your tests, rather than taking away from your internal team. This model is extremely productive as it allows businesses to continue cycling leads through their current strategy and cadence, all while experimenting externally to discover new ways to optimize. Once results are received, the business can then refocus on team-wide coaching and rollout, backed by provable results based on tangible data.

Final thoughts

To stay competitive, your teams need to constantly adapt. As established in this article, the goalposts for performance continue to move alongside technology innovation, emerging business trends, and new approaches to connect, influence and nurture.