Call Tracking for Law Firm Marketing ROI
You spend thousands on Google Ads, billboards, and TV spots. AI intake asks every caller how they found you — giving you precise ROI data for every marketing dollar.
Law firms spend more per lead than almost any other industry. Google Ads for personal injury keywords can cost $100-$700 per click. Television ads run $5,000-$50,000 per month. Billboards cost $1,000-$15,000 monthly. Yet most firms have no reliable way to track which channels actually produce retained clients. AI intake solves this by asking every caller how they found the firm and capturing that data in a structured, reportable format.
Why Law Firms Struggle with Attribution
- Receptionists forget to ask how callers found the firm
- Phone tracking numbers get disconnected or misconfigured
- Multiple touchpoints make attribution complex — billboard led to Google search
- No structured data collection across intake staff
- Marketing teams lack access to intake data for analysis
AI Attribution Capture
AI intake asks every caller how they found the firm as a standard part of the intake flow. The response is captured in a structured field — not free text notes that are impossible to analyze. This data feeds directly into marketing reports showing which channels generate leads, which generate consultations, and which generate retained clients.
- Every caller is asked the attribution question — zero skip rate
- Responses are captured in structured, reportable format
- Data links to case outcome for full funnel analysis
- Multi-touch attribution tracks primary and secondary channels
- Monthly and quarterly reports show cost per retained client by channel
Making Data-Driven Marketing Decisions
With consistent attribution data, firms can reallocate marketing budgets based on actual performance. If Google Ads produce $50,000 per lead retained and billboards produce $200,000 per lead retained, the reallocation decision is obvious. Most firms make these decisions on gut feeling because they lack the data. AI intake provides the data.
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