Revenue Technology
Why does it matter?
When used purposefully, Technology can be a strong growth-enabler, it allows teams to:
Research
Handle the products catalogue, pricing list, customers data with accuracy
Monitor
Track the sales pipeline and proactively engage with clients throughout their buying journey
Analyze
Leverage advanced data analytics for fast and reliable decision-making
Communicate
Create a platform for reliable communication and alignment across all functions & teams
There are 4 strategic questions
that we address in Revenue Technology
How deeply are you leveraging your existing Revenue Technology?
Our starting point is to map and assess usage of all existing tools, systems & software that our client has. This enables us to identify ways to optimize the Tech stack and push forward the usage of relevant solutions. Our clients find out significant value in this phase as it brings more clarity and alignment between teams, while leveraging the same resources.
The collaboration with our clients’ teams leads us to identify critical needs that are not met and addressing them would unlock significant value for Sales, Marketing & Product teams. If a new solution needs to be developed and customized, we envision it from scratch, design its architecture as well as map all functionalities, features & workflows. Our next step is to visualize how it can be smoothly integrated within the digital ecosystem.
What solutions do you need to upgrade your Revenue capabilities?
How can you implement & integrate these new solutions within the existing tech stack?
Once the solution is designed, our team will support in the implementation & coordination with DevOps & Engineering, whether it is in-house or outsourced. The objective being to continuously ensure that the solution meets the initial requirements, is well integrated within the existing IT systems and is tested under various usage scenarios.
Advanced data analytics is the backbone of commercial growth. We identify & develop for our clients the missing analytical dimensions for their teams, such as predictive churn, cross-sell/upsell potential analysis, customer segments CLTV, among others. Our objective is to create an advanced data analytics center of excellence, that will enable teams to get reliable and real-time insights for decision-making.
How can you transform into an advanced analytics-driven organization?
