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.
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.
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.
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.
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.
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.
Inquiries were arriving through different channels, and the owner could not respond manually to every lead with the same speed or consistency.
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.
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.
The website needed better ways to capture inquiries and collect enough information for the business to respond appropriately.
Custom lead forms and website chat gave visitors clear ways to ask questions, request service, or provide the details needed for the next step.
Intake questions were structured around the information the business actually needed, rather than relying on a generic name, email, and message form.
Form and chat responses were used to determine the appropriate routing, customer response, internal notification, and follow-up action.
Forms were customized to collect actionable information while keeping the customer experience simple.
The chatbot could answer routine questions and capture lead details, while routing situations that required judgment to the business.
Submissions did not stop at an email notification. They entered the same customer-response system used by the rest of the business.
The business could receive an inquiry without retaining a clear record of which campaign, source, or link generated it.
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.
Attribution gives the owner better context for the conversation and creates a more reliable basis for evaluating marketing activity.
Campaign and referral parameters are collected when the visitor first reaches the site.
Source information remains available as the visitor navigates and completes a lead form.
The source data is written to the lead record for later reporting, follow-up, and campaign analysis.
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.
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.
Client names, customer data, prompts, credentials, internal URLs, workflow configurations, and security-sensitive architecture have been omitted or generalized.
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.