A connected customer-acquisition system
for a local service business.
A growing service business was receiving leads through its website, social media, and Google Local Services Ads, but those channels were not operating as one system. ProspectifAI built the lead-capture, response, tracking, and internal workflows needed to manage those opportunities more consistently.
Several lead sources.
One connected response system.
The project was not one isolated chatbot or automation. It required a connected system for capturing inquiries, responding across channels, collecting useful information, preserving marketing attribution, and involving the owner when human judgment was needed.
Customer interest was arriving through several disconnected paths.
Website forms, social messages, advertising leads, and customer conversations each created opportunities, but they did not enter a consistent intake and follow-up process. Response depended heavily on manual monitoring, and lead-source information was not always preserved in a useful way.
Respond faster without hiding the conversations that need a person.
Routine intake and follow-up could be automated. Estimates, exceptions, sensitive customer issues, and high-intent conversations still needed to reach the owner with the right context.
Capture, understand, respond, and escalate.
New inquiries are collected from the channels customers already use. The system gathers the information needed to determine the appropriate next step, provides an immediate response when appropriate, and routes the conversation to a person when judgment is required.
Preserve context from the first click through follow-up.
Source information, inquiry details, conversation history, and the next action are carried into the business workflow so the owner does not have to reconstruct what happened across several tools.
Multi-channel lead response
without another inbox to monitor.
Inquiries were arriving through different channels, and the owner could not respond manually to every lead with the same speed or consistency.
A shared response and escalation workflow.
Social media inquiries and Google Local Services Ads leads were connected to structured intake and follow-up workflows. The system could collect initial information, provide an appropriate first response, and route high-intent or unusual conversations to the owner.
- Automated response to social media inquiries
- Google LSA lead-response workflow
- AI-assisted intake and qualification
- Human escalation for conversations requiring judgment
- CRM and pipeline routing
Automation handled the routine opening, not the entire customer relationship.
The system was designed to create a faster and more consistent first response while keeping estimates, exceptions, and important customer decisions visible to the owner.
Website conversion infrastructure
built around useful intake.
The website needed better ways to capture inquiries and collect enough information for the business to respond appropriately.
Capture the inquiry
Custom lead forms and website chat gave visitors clear ways to ask questions, request service, or provide the details needed for the next step.
Collect useful context
Intake questions were structured around the information the business actually needed, rather than relying on a generic name, email, and message form.
Route and follow up
Form and chat responses were used to determine the appropriate routing, customer response, internal notification, and follow-up action.
Lead capture designed around the service process
Forms were customized to collect actionable information while keeping the customer experience simple.
- Service-specific intake questions
- Structured contact information
- Conditional routing
- Automated confirmation and follow-up
Immediate help without pretending every answer is automated
The chatbot could answer routine questions and capture lead details, while routing situations that required judgment to the business.
- Common-question handling
- Structured lead intake
- Service-interest capture
- Human handoff when appropriate
Website interactions connected to the next action
Submissions did not stop at an email notification. They entered the same customer-response system used by the rest of the business.
- CRM record creation
- Pipeline placement
- Owner notification
- Customer follow-up sequence
Attribution that stays with the lead
after the click.
The business could receive an inquiry without retaining a clear record of which campaign, source, or link generated it.
Source information captured at arrival and preserved through submission.
UTM parameters and referral context were captured when a visitor reached the website, retained as the visitor moved through the site, and attached to the lead record when a form or other conversion action was completed.
Response automation is more useful when the business knows where demand came from.
Attribution gives the owner better context for the conversation and creates a more reliable basis for evaluating marketing activity.
Capture
Campaign and referral parameters are collected when the visitor first reaches the site.
Persist
Source information remains available as the visitor navigates and completes a lead form.
Attribute
The source data is written to the lead record for later reporting, follow-up, and campaign analysis.
A more consistent path from
customer interest to business action.
The value of the project was not one isolated feature. It was the connection between customer-facing channels and the internal process required to act on them.
Lead channels operated separately
- Inquiries required manual monitoring
- Response varied by source and availability
- Website intake was limited
- Campaign context could be lost
Inquiries entered a connected workflow
- New leads received a consistent first response
- Intake information was captured in a structured format
- Important conversations reached the owner
- Source information followed the lead into the pipeline
Design and implementation across the full system
- Business-process analysis
- Website conversion design
- CRM and workflow configuration
- AI-assisted response logic
- Attribution and reporting integration
The business problem, system design, and operational outcome.
This case study explains how the customer-acquisition system was designed and what changed for the business without identifying the client or exposing customer information.
Sensitive implementation details are not published.
Client names, customer data, prompts, credentials, internal URLs, workflow configurations, and security-sensitive architecture have been omitted or generalized.
Have customer opportunities
falling between disconnected systems?
Tell us how inquiries arrive, what happens next, and where the current process breaks down. We will help determine what should be connected, automated, configured, or built.