What problem are you trying to solve?
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Product Explainer Conversation
Advocate agent · 2.2K uses
Advocate Agent
Product Recommendation Advisor Template
Product forms confuse qualified buyers. Help SaaS prospects find their ideal plan by understanding their team size, technical stack, integration needs, and growth trajectory. Increase conversion rates by reducing choice paralysis and positioning the right solution from the start.
Smart matching
Qualified leads
Higher close rates
Used 1,548+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Questions it always asks
The core fields every response captures.
How many team members will be using this product?
What's your approximate monthly budget for this type of solution?
How it adapts
Follow-ups that change based on what people say.
If team size > 50, recommend Enterprise plan with advanced admin controls
If budget < $500/month, show Starter plan and highlight ROI potential
Where it routes people
Different paths for different answers.
Route enterprise prospects (100+ employees) directly to enterprise sales
Send SMB prospects to self-serve trial with product specialist follow-up
Automations it can trigger
Actions that fire the moment a response comes in.
Add qualified leads to CRM with recommended plan in notes field
Send personalized pricing sheet via email with highlighted features
Schedule demo with appropriate sales rep based on deal size
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI template works
The AI asks targeted questions about company size, current tools, technical requirements, and budget constraints. Based on responses, it recommends specific product tiers, highlights relevant features, and explains why this solution fits their needs.
Getting started
- 1
Define your product tiers and key differentiating features
- 2
Set up qualification criteria for each pricing plan
- 3
Configure integration triggers for sales handoff
- 4
Test recommendation logic with sample customer profiles
Template Details
- Agent Type
- Advocate
- Category
- Product & research
- Industry
- SaaS / Tech
- Business outcome
- Convert more leadsBuild the right productEducate & activate
- Job to be done
- Educate & explain
- Journey stage
- Engagement
- Replaces
- FAQ pages & docs
- Integrations
- Hubspot, Slack, Webhook
- Times Used
- 1,548+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Static product forms force prospects to choose from dropdown menus without understanding their needs or use case. Sales teams get incomplete submissions with generic selections that don't match actual requirements.
- Complex feature matrices and pricing tiers overwhelm prospects who just want to solve a problem. 60% abandon before completion because they can't figure out which product fits their situation.
- Checkbox product forms miss cross-sell opportunities and enterprise prospects who need custom solutions. You lose revenue from customers whose real needs extend beyond standard packages.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- AI product advisors ask about customer challenges, budget, and requirements before recommending solutions. Sales receives qualified leads with complete context about needs and decision criteria.
- Conversational product selection feels like consulting with an expert rather than decoding feature specifications. Prospects stay engaged through guided discovery that explains options clearly.
- Adaptive conversations identify upsell opportunities and enterprise requirements during recommendation. High-value prospects get routed to senior reps while standard accounts flow to inside sales automatically.
How do you build product recommendations that actually convert prospects?
Focus on customer problems rather than product features. Start by mapping common use cases and the questions that reveal good versus poor fit. Your conversation should gather context about goals, constraints, and requirements through natural dialogue. Ask about current solutions, pain points, and success metrics. Avoid overwhelming prospects with feature comparisons. Instead, guide them through discovery that builds confidence in your recommendations. The best product advisors act like consultants who happen to sell solutions.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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