How long does Cloudflare keep analytics data? (And how to extend it)

If you are running a fast-growing startup or managing production web traffic, metrics are your lifeline. You rely on them to track unique visitors, investigate security threats, and spot performance bottlenecks.

But if you are using Cloudflare’s Free, Pro, or Business tiers, you might be in for a rude awakening: your dashboard analytics are systematically disappearing.

In this guide, we will break down exactly how long Cloudflare holds onto your traffic data based on your plan tier, why these limitations exist, the real-world consequences of losing that data, and the step-by-step technical workflows you can implement today to extend your data retention indefinitely — without paying for an enterprise upgrade.

The Short Answer: Cloudflare Data Retention Limits by Tier

Cloudflare limits how far back you can view data in your dashboard based strictly on your subscription level. If you have ever wondered why your dashboard data suddenly cuts off or drops out, here is the official breakdown:

Subscription Tier	Dashboard Analytics Retention	Raw Log Availability (Logshare/Logpush)
Free	7 Days	Not Available
Pro	30 Days	Not Available
Business	30 Days	Not Available
Enterprise	365 Days	Up to 7 Days (via Logpush API)

The Enterprise Catch: Cloudflare locks its raw log access tools (Logpush and Logshare) completely behind its Enterprise tier, which often costs thousands of dollars per month. If you are on a Free, Pro, or Business plan, your raw logs are deleted from Cloudflare’s infrastructure within 24 hours, leaving you with only the rolling aggregated dashboard view.

What This Means for Each Plan

Free Plan users get a rolling 7-day window. That means if a traffic anomaly happened 8 days ago — a sudden spike, a bot attack, an unexpected drop in visitors — that data is completely gone. You cannot investigate it, export it, or recover it. For hobby projects this might be acceptable. For anything with real users or revenue, it is a serious blind spot.

Pro and Business Plan users fare slightly better with 30 days of dashboard history, but the gap between what Cloudflare shows you and what you actually need for serious analysis is still enormous. Most companies doing quarterly reviews, seasonal comparisons, or year-over-year growth analysis need at minimum 12 to 18 months of data. Thirty days barely covers a single billing cycle.

Enterprise Plan users get 365 days of dashboard analytics, plus access to Logpush and Logshare for raw log streaming. But Enterprise pricing typically starts at several thousand dollars per month and requires a sales conversation. For most startups and independent developers, this is simply not an option.

Why Your Data Disappears: The Engineering Reality

Cloudflare is one of the largest networks on the internet, processing over 50 million HTTP requests per second globally. Storing every single raw request line — with all its headers, IP addresses, payload metadata, geographic data, and timing information — for millions of websites across years of history is an extraordinarily expensive database engineering challenge.

To keep their edge network fast and their lower tiers affordable, Cloudflare uses data aggregation. Here is how it works:

When a user visits your site, Cloudflare logs the raw interaction at the edge. After a short period, that raw event data is compressed into hourly or daily summaries — total requests, total bandwidth transferred, unique visitor counts, top countries — and the detailed raw records are permanently purged.

While this keeps the dashboard interface snappy and storage costs manageable for Cloudflare, it strips away your ability to drill down into historical anomalies. The aggregated summaries tell you that something happened, but not why, who, or how.

The Real-World Consequences of Short Retention Windows

Losing historical traffic data is not just an inconvenience. It has real operational, security, and business consequences.

Security Investigations

When a security incident occurs — a credential stuffing attack, a scraping campaign, an unusual spike in 404 errors — your first instinct is to look at the logs. If you are on a Free plan and the incident started 10 days ago, you have nothing to work with. You cannot identify which IPs were involved, which endpoints were targeted, or when the attack began. Your incident response is flying blind.

Compliance and Auditing

Many industries require companies to retain access logs for extended periods. GDPR, HIPAA, SOC 2, and PCI-DSS all have provisions around audit trails and access records. Relying solely on Cloudflare’s dashboard for compliance is a risk that could prove very costly during an audit.

Growth Analysis and Business Intelligence

Understanding your traffic trends over time is fundamental to making good product and marketing decisions. Which blog posts drove traffic six months ago? Did that campaign last quarter actually move the needle? How has your geographic traffic distribution shifted since you launched in a new market? Without long-term data, these questions are unanswerable.

Capacity Planning

Engineers use historical traffic data to plan infrastructure scaling. Knowing your peak traffic patterns across seasons, product launches, and marketing campaigns allows you to provision resources intelligently. Without that history, capacity planning becomes guesswork.

The Technical Workaround: Extending Retention with Cloudflare Workers

You do not need an Enterprise contract to preserve your data. Because Cloudflare intercepts all your traffic at the edge, you can use Cloudflare Workers to tap into the live request stream, capture the analytics telemetry, and stream it to an external storage system in real time.

Here is a step-by-step setup to archive your traffic data automatically.

Step 1: Create a Workers Pipeline

Cloudflare Workers execute serverless code at the edge closest to your users. We can write a script that processes the visitor’s request normally, but simultaneously dispatches a background task to ship the request metadata to an external endpoint — without adding any latency to the user’s experience.

Step 2: Deploy the Telemetry Script

Deploy the following lightweight Worker script. It intercepts incoming traffic, extracts the critical data points, and ships them off to your external database using ctx.waitUntil so the logging happens asynchronously and never slows down the response.

// src/worker.js
export default {
  async fetch(request, env, ctx) {
    // 1. Process the request normally
    const response = await fetch(request);

    // 2. Gather telemetry data
    const logData = {
      timestamp: new Date().toISOString(),
      url: request.url,
      method: request.method,
      country: request.cf?.country || 'Unknown',
      colo: request.cf?.colo || 'Unknown',
      ip: request.headers.get('cf-connecting-ip'),
      userAgent: request.headers.get('user-agent'),
      status: response.status,
      referer: request.headers.get('referer') || null,
    };

    // 3. Stream to external storage asynchronously
    ctx.waitUntil(
      fetch(env.ANALYTICS_ENDPOINT, {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(logData)
      }).catch(err => console.error('Telemetry stream failed:', err))
    );

    return response;
  }
};

Step 3: Choose Your Storage Backend

Once you are streaming data out of Cloudflare, you need somewhere to put it. Your options range from simple to sophisticated:

Cloudflare R2 is the simplest option if you want to stay in the Cloudflare ecosystem. You can write JSON log files directly to an R2 bucket and query them later. The downside is that R2 is object storage — not a database — so querying large volumes of logs becomes awkward quickly.

PostgreSQL is a solid general-purpose choice. A managed Postgres instance on Supabase, Railway, or Neon can ingest your log events as rows and let you query them with standard SQL. It works well up to tens of millions of rows, after which you may start hitting performance limits on complex analytical queries.

ClickHouse is the power-user option. It is a column-oriented database built specifically for high-volume analytics workloads. If you are handling millions of requests per day, ClickHouse will outperform Postgres significantly for time-series queries, aggregations, and large range scans. Managed ClickHouse is available via ClickHouse Cloud or Altinity.

TimescaleDB is a PostgreSQL extension that adds time-series optimizations. It is a good middle ground — you get the familiarity of SQL with better performance for time-ordered data.

Step 4: Build a Query Layer

Raw storage is only useful if you can query and visualize the data. You will need to build or integrate a dashboard to make the data actionable. Options include:

• Grafana connected to your ClickHouse or Postgres instance for time-series dashboards
• Metabase for a more business-friendly self-serve analytics interface
• Custom dashboards built with your preferred frontend framework

This is where the DIY approach starts to show its true cost: you are not just writing a Worker script, you are maintaining an entire data pipeline, storage layer, and visualization stack.

DIY vs. Managed: What is the Real Cost?

Building and maintaining your own Cloudflare data archival pipeline is absolutely possible, but it is worth being honest about the ongoing cost:

• You need to monitor the Worker for failures and gaps in data collection
• You need to manage storage costs and retention policies on your backend
• You need to handle schema migrations as your data needs evolve
• You need to build and maintain the query and visualization layer
• You need to ensure your pipeline handles traffic spikes without dropping events

For engineering teams with the bandwidth to own this infrastructure, the DIY approach is powerful and flexible. For everyone else, the operational overhead adds up fast.

The Easier Way: Let MetricKeeper Handle It

MetricKeeper was built specifically to solve this problem. It connects to your Cloudflare account with read-only access and automatically archives your traffic analytics indefinitely — no Workers scripts to write, no database to provision, no dashboard to build.

You get clean, queryable long-term traffic data from the moment you connect, with visualizations built for the questions that actually matter: year-over-year growth, geographic trends, top pages over time, and anomaly detection across your full history.

No Enterprise contract required. No infrastructure to maintain.

Get Early Access →