Agentic CRO via MCP

The Agent That Fixes Your Landing Page

Through the Model Context Protocol (MCP) server I built, I created an AI agent for conversion rate optimization (CRO) that connects directly to your user behavior data - clicks, scrolls, rage clicks, drop-offs, and code - and then proposes a better experience. Not just analysis. Action.

Watch my demo:

The Problem with CRO Today

Conversion rate optimization is traditionally a slog. Watch session recordings. Stare at heatmaps. Interpret drop-offs. Then try to guess what might work.

This flips that.

The CRO agent analyzes thousands of sessions for you and returns with diagnoses and redesigns. It's like having a CRO analyst, UX researcher, and front-end dev on your team—working 24/7.

The Stack: How It Works

🔹 Hotjar Data Exports (daily):

• clicks.csv: Click targets and engagement %

• scrolls.csv: Depth tracking to find where people drop off

• movements.csv: What elements are hovered

• recordings.csv: Rage clicks, durations, and metadata

🔹 Amazon S3
Organized by event type and date
/hotjar-data/clicks/dt=2025-04-02/clicks.csv

🔹 Amazon Athena
No ETL required—SQL over raw CSVs in S3, queried directly.

🔹 MCP Server (Python)
The magic layer. Exposes callable tools like:

@mcp.tool("fetch_click_data")
def fetch_click_data(ctx: Context) -> str:
    df = athena_query("SELECT ...")
    return summary_from_dataframe(df)

🔹 Claude + MCP
Claude becomes your CRO analyst. It queries Athena, pulls screenshots, reads your source code—and recommends, then rewrites.

What CRO Agent Can Do (Because of MCP)

Once set up, you can talk to the AI:

• “What are the top clicked elements on our landing page?”

• “Where do most users drop off in scroll behavior?”

• “What’s the average session duration?”

• “Can you show me why mobile users aren’t converting?”

• “Rewrite the page to fix this.”

Claude replies with:

• Scroll heatmap insights

• UX friction detection (rage clicks, U-turns)

• Device/browser breakdowns

• Page layout proposals (based on real behavior)

Real Example: What We Found and Fixed

For a brand pulling in 50,000+ sessions per day, here’s what the CRO agent uncovered after analyzing the actual Hotjar behavior data and inspecting the page:

• Only ~25% of users reached the bottom of the page, where the CTA was located

• Massive drop-off at the 45% scroll mark, indicating most users didn’t engage with the lower half

• Short session durations—many users bounced before engaging deeply

• Hero section was too long and dense, overwhelming above-the-fold space

• Mobile issues—tap targets were too small and layout wasn’t one-hand friendly

And here's what the CRO agent proposed, after pulling click, scroll, movement, and recordings data, reading the source code, and viewing the layout:

✅ Add a floating CTA button
✅ Move a CTA above the 45% scroll threshold
✅ Consolidate content higher on the page to address early drop-off
✅ Optimize for mobile: larger tap targets, one-handed scroll-friendly layout
✅ Implement progressive loading to improve speed and clarity
✅ Add multiple CTAs across the page to match attention zones

And then came the most powerful moment:
I asked Claude to rewrite the actual page code with those changes… and it did.

Agentic CRO in Action

What’s happening here is more than just scripting prompts.

The agent is:

• Running SQL

• Interpreting user behavior

• Reading code

• Looking at layout screenshots

• Executing plans

It’s an actual agent, not a chatbot.

This system runs daily, automatically analyzing new data and proposing new designs. It doesn’t just monitor user behavior—it acts on it.

Why MCP Is a Game-Changer

Model Context Protocol turns LLMs into doers.

Each tool is a Python function exposed via decorators. Claude or ChatGPT can call tools on demand, return structured results, and continue the session using real-time data.

You can chain tools, read page code, pull screenshots, and respond with working code. Claude becomes an autonomous optimizer, not just an advisor.

A New Intelligence for Brands

This is the beginning of a smarter kind of CRO:

• Works on your data, not generic training sets

• Understands your page structure

• Turns friction into layout changes

• Codes full redesigns, not just blurbs

Forget vague heatmaps or overpriced CRO audits. You don’t need more dashboards. You need a CRO agent that improves your funnel.

Want this agentic CRO setup for your brand? DM Bora on LinkedIn to jam on getting started.