Audience segmentation
Past customers are grouped by recency, prior service, and genuinely useful next actions.
Bring past customers back with relevant, timely outreach. Built specifically for law firms and legal practices, where high-intent inquiries need immediate, careful intake before prospects call another firm.
Built around your operation
When a former client reaches a relevant review or recurring-service window, the firm can send a matter-specific check-in and route interested replies to the attorney who owns that relationship.
Existing customer lists hold valuable demand, but generic blasts and inconsistent follow-up rarely unlock it. For law firms and legal practices, high-intent inquiries need immediate, careful intake before prospects call another firm. The system should fit that reality—not force the team into a generic funnel.
Past customers are grouped by recency, prior service, and genuinely useful next actions.
Messages use the context the business already has instead of sending one generic blast.
Cadence and stopping rules prevent outreach after someone replies or takes the next step.
Responses, calls, and bookings return to the same workflow for prompt team follow-up.
We map how law firms and legal practices currently receive, qualify, and follow up with customers.
We configure the reactivation workflow, connect the necessary tools, and write the customer-facing experience.
We launch, monitor, and improve the system with your team instead of leaving you with another tool to manage.
No. Pickaxe Pages is a done-for-you agency service. We design, implement, connect, and manage the system around your business.
We adapt intake, language, routing, and follow-up to the real customer journey. Typical scenarios include practice-area intake, consultation scheduling, case-status routing.
No. The system handles repetitive response and coordination while routing high-value, sensitive, or unusual conversations to the right person.
Usually, yes. We review your existing website, phone, calendar, CRM, inboxes, and reporting stack before recommending what stays, connects, or changes.