Sales OKRs are initially a little contentious as sales teams know their targets, they’ve got Salesforce and dashboards telling them where they are at any given moment. But what this misses is firstly transparency. The rest of the business doesn’t have an account in Salesforce. They don’t know where Sales are, and more importantly, where they might be able to help.
OKRs create alignment, shared purpose, and better teamwork. So if you want Marketing, Sales and Customer Success to really align and not just be accountable to each other, but help each other, and see shared interest in collective achievement, then Sales OKRs should be visible, as should all other teams goals.
The other key thing about Sales OKRs in ZOKRI is that they are the tip of the iceberg. The Initiative ‘doing’ layer is the real engine room. Being able to see, and where possible, suggest Initiatives that help teams and individuals achieve their goals, really helps company and team performance.
Above we’ve created Sales OKRs for different roles within the Sales Organization as well. Sales Leadership can carry high level metrics and pipeline efficiency metrics. SDRs can have OKRs that are specifically targeting quality SQLs. Quota carrying reps can have OKRs that reflect their Quota and support higher level OKRs like contract length.
OBJECTIVE - Achieve sales growth targets
This OKR could be used for a Sales Leader or individual BDR. You can select from the most relevant Key Results for you. This OKR targets specific MRR and Average Revenue Per Account, with more being paid upfront to help cashflow, and with longer contract periods.
OBJECTIVE - Optimize the Sales Pipeline
This is an OKR for a Sales Leader responsible to Optimizing the Sales Pipeline. In creates a focus on having the right number of Ramped Reps, each having the optimal number of SQLs, and conversion rate of an SQL to attain their quota in the shortest Sales Cycle possible.
OBJECTIVE - SQL fuelled growth
This OKR is for a Sales Development Rep. It gives specific SQL targets, and includes Key Results that drive good behaviours like Discovery Calls, and quality checks like the % of SQLs that end up having a Demo, and of course MRR.
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