iDatalabs
Case Study

Microsoft Cloud Sales – Accelerating Pipeline Velocity with iDatalabs

Microsoft Cloud Sales – Accelerating Pipeline Velocity with iDatalabs Case Study

3-4xhigher win-rate

30%higher deal sizes

$200mimpacted pipeline

Microsoft’s Cloud Sales Team

Microsoft’s Cloud Sales Team is responsible for working with customers as they evaluate and adopt Microsoft’s offerings, including its cloud infrastructure (IaaS) solutions, its platform as a service (PaaS) offerings, and its software as a service (Saas) offerings, available via its primary cloud-based products (Microsoft Office 365, Microsoft Dynamics, and Microsoft Azure). 

The Challenge

Microsoft Cloud Sales – Accelerating Pipeline Velocity with iDatalabsWe knew we had varying win rates from account to account

In 2015, John Jenkins, the Director of Business Strategy for Microsoft’s Worldwide Corporate Accounts segment, was intent on improving the pipeline health of its mid-market customers, which, at the time, comprised tens of thousands of customers. Traditionally, it had been challenging for the team to predict which accounts were most likely to adopt Microsoft’s various cloud offerings. On paper, many of the mid-market accounts appear similar on a firmographic level--they have similar annual revenues, employee counts, and are associated with six to seven target industries. Despite appearing similar, Microsoft knew from experience that customers varied significantly in their buying propensities.

With Microsoft’s ambitious cloud sales goals, Jenkins sought to determine with more confidence which accounts were most likely to purchase Microsoft's cloud solutions. Jenkins was especially intent on improving three core pipeline health variables: 1) average win rate, 2) average deal size, and 3) the account-based lead qualification rate.

We were looking to work with a predictive modeling vendor to help us focus in on these variables and improve them over the long term.

John Jenkins, Microsoft

The Solution

Over three consecutive quarters, the pilot locations consistently generated superior results

After Microsoft had run a vendor-to-vendor bake-off over a period of three months, it selected iDatalabs as its vendor of choice. The two companies worked together to build seven predictive sales and marketing models, each targeting a different Microsoft cloud product identified as critical for growth. These models were initially rolled out in control pilots across 10 discrete locations (across Sales Development teams in the U.S., Canada, Australia, India, Brazil, Germany, France and the UK).

In comparing the results of these pilot regions with other regions not leveraging iDatalabs’ models, the results were significant. Over three consecutive quarters, the pilot locations consistently generated superior results. The promising results motivated Jenkins to initiate a global rollout of iDatalabs’ solutions.

We ended up plugging in iDatalabs’ predictive analytical capabilities and targeting recommendations into our monthly Sales Development Reps’ CRM-based lead flows, our quarterly territory planning models, and our ongoing territory and account segmentation processes that define our sales and marketing resource allocations...We now have a much more rigid way to effectively micro-segment accounts and know which accounts we should spend more of our sales team on.

John Jenkins, Microsoft

To expedite development and delivery of its models, iDatalabs has increasingly relied on the Microsoft Azure platform. Services such as Data Factory and ML Studio have been especially impactful in enabling iDatalabs to frictionlessly analyze terabytes of data and simplify complex tasks.

The Result

Armed with iDatalabs’ solutions, sales teams are able to determine the unique attributes that cause specific customers to exhibit high buying propensities

Thanks to the use of iDatalabs' models, Microsoft has been able to dramatically accelerate its sales pipeline velocity. By being able to more accurately predict likely qualification rates, deal sizes, and win rates, the team is able to more dynamically focus its sales efforts across accounts with the greatest propensity to buy new cloud solutions in the short to mid-term. 

Especially significant for Microsoft has been the ability to more effectively personalize sales messaging specific to each customer. Since many of Microsoft’s cloud offerings have multiple diverse use cases, Microsoft had traditionally struggled to predict a customer's specific unique need for a particular offering. Armed with iDatalabs’ solutions, sales teams are able to determine the unique attributes that cause specific customers to exhibit high buying propensities. Conversations with customers are much more meaningful and productive.

Our sales teams now have more context on how they should approach each account and therefore can make their sales development efforts more productive

John Jenkins Microsoft

For Microsoft, the benefits of working with iDatalabs have been transformative. Since the initial bake-off, Microsoft has witnessed nine quarters of consistently high results, including:

  • 3-4x higher qualified opportunity win rates

  • 30% higher deal sizes

  • $200 million in incremental pipeline

Our highest propensity accounts, with both the highest likelihood to adopt our cloud solutions, and the highest likelihood to adopt in the short-term, give us 3-4x higher win rates than the accounts that are low propensity, within the same territories.

John Jenkins, Microsoft

 

 

Interested in learning more about iDatalabs? Contact us at [email protected]