Solution: A pre-sales and onboarding kit that agencies use during the sales process. Core components: (1) Industry and geography-specific CPL/CPA benchmark report based on real anonymous data from other agency clients โ shows the prospect 'roofers in Phoenix pay $X per qualified lead'; (2) Learning period timeline visualizer showing realistic 3-month performance curves with the expected initial loss period that Smart Bidding requires; (3) Cost-of-business projection โ month 1 is data buying, month 2 is optimization, month 3 is profitability; (4) Signed acknowledgment document โ 'I understand these realistic expectations' that the client signs before the contract; (5) Monthly checkpoint reports comparing actual performance to expected curve; (6) Client education library โ short videos explaining why Smart Bidding has a learning period. ICP: PPC agency owners with 10โ500 clients who lose 20โ40% of new business within 6 months due to misaligned expectations. The pattern is universal: client signs up expecting profit in month 1, doesn't see it, blames the agency, fires the agency in month 3. The agency loses 6+ months of revenue and reputation. The 'burning budget on Google Ads with no real leads,' 'one year 5K/month zero conversions,' and 'spent 12K on Google Ads over 3 months' threads all show the client side of this pain.
The signed expectation acknowledgment is the killer feature. When a client signs 'I understand month 1 won't be profitable,' the agency has explicit, defensible evidence when the inevitable month-2 panic call happens. The personalized industry benchmarks powered by anonymous agency-contributed data are uniquely credible โ not pulled from generic industry reports.
โSimilar to how Calendly and Loom focused on a specific friction point in the customer journey rather than building general workspace tools. This focuses on expectation-setting friction โ one specific high-frequency moment in agency-client relationships, made dramatically smoother through purpose-built software.โ