A recurring challenge in account management is the blank-canvas problem: when it's time to set OKRs for a client, account managers often don't know where to start. Mark built an internal tool that addresses this by automatically generating a first-draft set of OKRs for each client, grounded in real performance data. The output isn't meant to be final — it's meant to give account managers something concrete to react to and refine.
The tool pulls together everything known about a client and uses it to propose objectives and key results:
Client context inputs:
- Business type (B2B vs. B2C)
- Commerce model (e-commerce, local service, regional, national)
- Industry and service mix
Performance data inputs:
- Google Ads metrics
- Google Search Console data (traffic, impressions, click-through rates)
- Current conversion rates
- Any other available client analytics
From these inputs, the tool generates OKRs that are specific and numeric — e.g., "Traffic is currently X, and needs to reach Y to hit the conversion target." The objectives are tied to the actual levers available for that client's business model.
The intended process is:
This replaces the prior approach where account managers were expected to generate OKRs from scratch, which frequently resulted in either blank canvases or generic objectives disconnected from actual client metrics.
"If you tried to do all the stuff the tool is doing, it would take you days to go to all those places and look up all those numbers and try to figure it out." — Mark Hope, Feb 20 2026