Agentlytics tracks every decision signal across every session — mapping readiness, detecting hesitation, scoring exit risk, and briefing your team the moment a buyer needs a human.
You've been reviewing the enterprise tier. Most teams at your stage want clarity on migration and rollout. Happy to walk through that.
Traffic is not the problem. You already have buyers evaluating, comparing, returning, and reading proof. The real issue is that decision breakdown remains invisible until after confidence has already weakened.
By the time a form is submitted or abandoned, the buyer has often already moved through a hidden decision cycle. Conventional analytics, CRMs, and chat tools usually operate after the moment of failure. Agentlytics operates inside it.
That is the category difference: this is not conversation software. It is a decision-visibility layer for revenue stability.
A buyer visits your pricing page four times over five days, compares plans, revisits the enterprise tier, and disappears. Your CRM shows zero activity. Your team has no idea they were ever there.
The mechanism is not a stack of disconnected features. It is a continuous decision system that converts raw behavior into classification, hesitation detection, and precise action.
Navigation depth, pricing dwell, comparison activity, revisit patterns, and session progression are treated as decision evidence instead of passive analytics.
Every session is classified into a live decision state: exploring, evaluating, hesitating, or decision-ready. The state updates as buyer behavior evolves.
When evaluation continues without confidence building, the system identifies a hesitation pattern and generates a structured decision brief.
The right content, routed alert, or human response is triggered with decision context before the buyer exits or the handoff resets the interaction.
Pricing page explored. Enterprise tier reviewed. Session classified: Exploring.
Comparison content viewed. Pricing revisited. State shifts to: Evaluating.
Third pricing revisit. 4m 12s dwell. No commitment. Decision brief generated.
Agent receives full context and starts mid-decision — not from a blank slate.
No sitemap required. No manual knowledge base. No workflow disruption. Paste your URL — Agentlytics does the rest.
No sitemap needed. The system crawls your site, maps every page and section, then auto-generates lead capture flows, qualification questions, and sales answers tailored to your product.
A fully branded AI agent launches on your site. It proactively engages visitors based on scroll depth, dwell time, and exit intent — not just when they type a message.
Every session is classified live across 5 stages. Hesitation patterns, exit risk, buyer archetypes, and confidence trajectory are scored in real time, per visitor, per session.
When a buyer needs a human, your agent receives a complete decision brief — what they read, which pages, how many times, what's blocking them, and exactly what to say first.
See which behavioral patterns precede conversion, which ones signal silent abandonment, and where confidence breaks before the form ever appears.
Connect evaluation-stage hesitation to conversion instability before it becomes pipeline slippage. Exit risk, confidence trajectory, and primary blockers — visible before the deal dies.
See every visitor's decision stage, intent score, lead quality, and primary blocker in real time. Know who to prioritise before they ask to speak to someone.
The Agentlytics AI agent runs end-to-end on your site — proactively engaging, qualifying, booking demos, answering queries, and handing off to humans with full decision context. No human in the loop until you're needed.
Engages based on scroll depth, dwell time, exit intent, and page type — intervening at the exact moment a visitor starts to disengage. Not just when they ask.
Captures contacts, qualifies intent, books demos, answers product queries, and handles objections — all within one conversation, without a human in the loop.
Paste your URL. The system maps your site, generates page-specific Q&A, and trains the agent on your product. No manual setup. No knowledge base to build.
Supports multiple languages. Fully customizable — colors, tone, avatar, and behavior — to match your brand exactly.
The following reflects observed patterns from controlled deployment environments where decision-stage behavior was interpreted and acted on in real time.
Sessions with repeated pricing hesitation showed a 18–27% increase in progression toward decision-ready state after intervention.
Comparison-heavy journeys showed a 22% reduction in repeated evaluation loops when hesitation signals were identified early.
Human interactions supported with decision context reduced clarification cycles by 30–40% during evaluation-stage conversations.
Conversion variance across high-intent sessions decreased as hesitation was detected and addressed before abandonment.
A mid-market SaaS team observed repeated pricing-page exits without conversion. After mapping hesitation signals and applying decision-context intervention, evaluation progression improved and repeat exits reduced.
A revenue team handling high-intent inbound traffic identified delayed decision patterns during comparison-stage conversations. With decision-context guidance, agent responses aligned earlier with buyer uncertainty, reducing drop-off during late-stage evaluation.
Teams reported earlier visibility into hesitation patterns, enabling more precise responses and reducing silent decision drop-off.
In most systems, the moment a buyer asks for a human, the interaction resets. The agent starts from zero while the buyer has already spent days evaluating silently.
Agentlytics converts behavioral evidence into a structured decision brief before the agent responds. Readiness state, hesitation type, risk level, and recommended opening are preserved.
The result is not just a cleaner handoff. It is preserved decision momentum.
A live walkthrough on your actual traffic, decision signals, hesitation patterns, and handoff moments. Not a generic slide deck.