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To have a Data Driven Sales approach you need to define the relevant KPIs, Targets and measure them regularly. Automated systems which are easy to use are important and help closing the feedback loop if things work out or need change. KPIs and Targets vary a lot by industry, product or service to sell and customer target group. Let's have a look at certain KPIs.
Sales & Marketing Pipeline Mechanics
Creating traffic with relevant content is an absolute a must. The whole company needs to support the marketing team to create valuable insight for potential customers. The conversation rates above on the Marketing & Sales Funnel are typical conversation rates in an IT Software and Services business depending on customer segment and deal size obviously. Large Enterprise deals are different from small SME SaaS transactions. For the deal size of 100.000€ per transaction this is a feasible set of rates for new business.
Customer Acquisition Costs
Finally our example of a mid sized IT Software and Service business with a new deal size of 100.000 € is showing a customer acquisition cost of app. 35.000€ per customer. This sounds quite high but if this is a software deal with a customer lifecycle of minimum 8 years, it is quite reasonable if you create 100.000€ subscription revenue p.a. at a new customer. Don't assume that your sales cost will now lead to 35% of revenue. You have a second bucket which will be far more efficient: the existing customer base which can be farmed, upsold at a lower cost rate. Small SaaS businesses may only pay 1.500 € for customer acquisition cost while large enterprise deals are far above 35.000€. It needs a deeper analysis. and the right KPI setting for your business.
One question might be interesting to discuss. The assumption is that we spend 200 € per MQL. This may vary a lot. The target group in the example were mid sized businesses in DACH and the Personas were C-Levels like CEO, CFO, CDO, CIO, CHRO. An MQL can come from a traditional fair and exhibition. Typically your cost of your own booth may incl. your staff may lead to cost up to 400 € per MQL. From experience your cost per contact on LinkedIn can be 2,50 € and with a conversation of 14% to a lead, your Cost per Lead are 18 €. To get this natured to an MQL it takes quite same actions, like Downloads, Webinars etc. and the Cost per MQL can easily increase to 150€ per MQL. On Twitter your cost per contact is lower and can be around 1,60 € but the conversation rates are lower hence your cost per lead increases to 22 €. This all depends highly on your content and quality of your marketing team, the customer segment etc.
Executive Summary:
Your Customer Acquisition Cost can be calculated. You can move towards a data driven sales approach and clearly defined targets. You need to be flexible as not all campaigns and initiative will be equally successful and it requires a deeper look into the business to drive excellence throughout the process. It is obviously far cheaper to hand over leads to the more expensive sales team to let them focus on real potentials rather doing random cold calling. But you need to get the whole company incl. yourself to create relevant and meaningful insights for your customers and you need a toolset that is easy to use, fully integrated and automated to make it fly.