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 hotels, venues, and guest-focused businesses, where guests expect immediate answers across booking and service channels.
Built around your operation
When a former guest or event planner matches an upcoming seasonal offer or repeat-booking window, relevant outreach invites a new inquiry and sends replies to reservations or sales.
Existing customer lists hold valuable demand, but generic blasts and inconsistent follow-up rarely unlock it. For hotels, venues, and guest-focused businesses, guests expect immediate answers across booking and service channels. 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 hotels, venues, and guest-focused businesses 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 availability questions, event inquiries, post-visit review requests.
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.