---
title: Publish a benchmark report from your own data
description: Turn the data your product already collects into a benchmark report that lets readers compare themselves with their peers, states every number with the sample behind it, and gets quoted by press, buyers, and AI answers.
slug: /use-cases/benchmark-report-from-your-data
page_type: use-case
lead_prompt: How do I publish a benchmark report from my company's data with AI?
target_prompts:
  - Can an AI marketing agent turn our product data into a benchmark report?
  - How do I create a data report from my own customer data?
  - How do I publish industry benchmarks that get cited?
  - What makes a good benchmark report for B2B marketing?
  - How do I turn anonymized product data into marketing content?
entity: Kite
category: AI marketing agent
author: Devon Wells and Kite
date_published: '2026-11-12'
date_modified: '2026-11-12'
related_integrations:
  - /integrations/posthog.md
  - /integrations/mixpanel.md
  - /integrations/amplitude.md
  - /integrations/stripe.md
  - /integrations/hubspot.md
  - /integrations/salesforce.md
  - /integrations/google-sheets.md
  - /integrations/airtable.md
  - /integrations/webflow.md
  - /integrations/wordpress-self-hosted.md
  - /integrations/linkedin.md
related_playbooks:
  - /how-to/build-a-media-list-of-journalists-who-cover-your-industry.md
  - /how-to/find-a-journalists-email-address.md
---

# Publish a benchmark report from your own data

## Key Takeaways

- A benchmark report answers a question your customers already ask you: "Is our number normal?" It works when readers can find their own peer group in it and see where they stand.
- Benchmarks get cited when each number is stated in one sentence with the group it describes, how many companies or records sit behind it, and the time period it covers. That sentence is what journalists, buyers, and AI answers quote.
- Kite can read your data from a connected product such as PostHog, Stripe, HubSpot, or Google Sheets, or from a CSV export you share with it. It reports only group-level figures, and you decide the smallest group it is allowed to publish.
- Kite writes the report, publishes it openly on your website or as a hosted report page with charts and tables, and labels every chart with the dataset and time period behind it.
- After launch, Kite pitches the findings to journalists who cover your market, turns them into social posts, tracks whether AI answers start citing the report, and can rerun the same analysis on a schedule so each edition compares with the last.

## Why a benchmark report from your own data is worth publishing

Your company probably holds numbers nobody else has. A help desk product knows how fast thousands of support teams reply to tickets. A scheduling tool knows how often booked meetings turn into no-shows. A payroll product knows how long small companies take to run payroll each month. Your customers ask you about these numbers all the time, usually in the form of "Is that good?"

A benchmark report turns that question into marketing. It takes data from many customers, combines it so no single company can be identified, and publishes the typical values for groups of companies that look alike. A reader finds the row for companies like theirs and sees whether they are ahead or behind. That comparison is why benchmarks get shared inside companies, quoted by reporters, and linked by other writers who need a number to back up a point.

Benchmarks also matter for AI answers. When someone asks ChatGPT or Perplexity "What is a good first response time for a support team?", the answer engine looks for a source that states a specific number clearly. Many of these questions have no good source yet, so a well-structured benchmark from a company with real data has a strong chance of becoming the one that gets cited.

The work behind a good benchmark has several parts. Someone has to pick the metrics readers want to compare, pull and clean the data, decide which groups to report and which are too small, calculate the figures, write the report, design the charts, publish it, and then get it in front of the people who will quote it. Most companies never finish because that work spans analytics, writing, design, and PR. An AI agent that can read your data and publish the result can carry the whole job.

Kite is an AI marketer. It researches your business, builds a growth strategy, and ships the work that brings you new customers. Here's how it turns your data into a benchmark people cite.

## How Kite publishes a benchmark report from your data

Kite starts with what it already knows about your company: your product, your customers, the questions buyers ask, and how your market talks about performance. It uses that to propose which metrics to benchmark and which peer groups to compare. Then it reads your data, calculates the figures at the group level, and checks each one against the smallest group size you've agreed to.

Next, Kite writes the report so every finding can be quoted on its own, designs the charts in your brand, and publishes the report openly once you approve it. It then takes the findings to the people most likely to repeat them, measures who does, and can repeat the analysis on a schedule so the benchmark becomes a series.

### Pick the metrics your customers want to compare

A benchmark is only useful if it measures something readers already track and worry about. Kite starts by looking for those metrics in the questions people ask. It checks search demand for phrases such as "average churn rate for SaaS" or "good email open rate," reads the discussions on sites such as Reddit, X, and Hacker News, and looks at which benchmarks competitors and industry publications already publish. It also checks how AI answers handle the question today. An answer that hedges, cites an old survey, or gives no number at all points to a gap your data can fill.

Kite then matches those questions to the data you actually hold. For a help desk product, that might be first response time, time to resolve a ticket, and tickets handled per agent. For each metric, Kite proposes the peer groups that make the comparison meaningful, such as company size, industry, region, or plan type. A reader at a 20-person ecommerce company does not want to compare themselves with a 5,000-person bank, so the peer groups matter as much as the metrics.

You get a short plan to approve: the metrics, the peer groups, the time period, and the three to five headline findings Kite expects to test. Agreeing on this first keeps the data pull focused on the numbers that will matter.

### Bring in your data and keep customers anonymous

Kite works from the data you choose to share. It can read events and funnels from a connected product analytics tool such as PostHog, Mixpanel, or Amplitude. It can read payments and subscriptions from Stripe, or deals and contacts from HubSpot or Salesforce. It can also read a Google Sheet or Airtable base where your team keeps the numbers. If your data lives in a warehouse or an internal database, export the aggregated table as a CSV and share it with Kite in Slack.

A benchmark publishes group figures, never a single customer's numbers. Kite calculates medians, ranges, and percentiles for each peer group and reports only those. You set the rules for what can be published, such as "no group with fewer than 25 companies" or "leave out any customer who has opted out of aggregate reporting." When a group falls below your threshold, Kite merges it with a similar group or leaves it out, and tells you which groups it changed. Kite saves those rules in your team's knowledge base, so the next edition follows them without being reminded.

If some customers have contracts that limit how their data is used, remove them from the export before you share it. Kite works with what you give it.

### Turn the numbers into findings people can quote

Kite calculates each metric for every peer group, then looks for what's worth saying. A good benchmark finding states the typical value, the comparison that gives it meaning, and the size of the group behind it. For example: "The median support team at companies with 50 to 200 employees sent its first reply in 3 hours and 40 minutes, across 1,140 companies from January to June 2026." A writer can lift that sentence straight into an article, and a reader knows exactly what it describes.

Kite prefers medians and ranges to averages, because one outlier can drag an average far from what a typical company sees. It reports the spread as well as the middle, such as the 25th and 75th percentiles, so readers can tell whether they're merely below average or far behind. Where two sources disagree, such as revenue figures from Stripe and from your CRM, Kite names the conflict instead of silently picking one.

The analysis often turns up a surprise, such as smaller teams replying faster than larger ones. When it does, Kite points it out and suggests making it a headline, because the surprising findings are the ones people share.

### Write and design a report readers can find themselves in

Kite writes the report in your brand voice. A typical benchmark opens with the headline findings, then gives each metric its own section with a chart and a table of values by peer group. A short section explains what the numbers mean for the reader and what a company behind its peers might change. A methodology section closes the report. It says which customers are included, the time period, how each metric is calculated, the smallest group size reported, and what was left out.

Each section opens with a heading that matches the question a reader would ask, such as "What is a good first response time for a small support team?", followed by the answer in its first sentence. That structure lets a reader jump to their own row, and it lets an answer engine quote the section without needing the rest of the page.

Kite designs the charts in your brand colors, fonts, and logo. Every chart and table carries a line naming the dataset and time period it comes from. You review the draft and ask for changes in plain language, such as "lead with the resolution time finding" or "drop the region breakdown."

### Publish the report openly

A benchmark built to be cited should be open to everyone, because journalists, other writers, and AI answers can't quote numbers hidden behind a form. Kite publishes the full report on an open page. If you also want to collect leads, keep a downloadable version with the complete data tables behind a form, as described in [Produce a gated research report](/use-cases/gated-research-report.md).

Kite can publish the report in two ways. It can add it to your website as a page or article, which keeps the citations and links pointing at your own domain. On a website Kite hosts, it publishes directly and adds the structured data and `llms.txt` entry that help AI systems understand the page. If your site runs on Webflow, WordPress, Contentful, Sanity, or Storyblok, Kite publishes through your connected content system.

Kite can also publish the report as a hosted report page with charts and tables, which opens from a shared link without signing in. Its charts and tables load without JavaScript, so a crawler that doesn't run scripts can still read every number. For more on hosted report pages, see [Publish a shareable report page](/use-cases/shareable-report-page.md).

Kite asks for your approval before anything goes live. You approve with the Approve or Publish button in the Kite web app or in Slack, or by replying in the conversation.

### Get the findings in front of the people who will cite them

A benchmark earns citations when the right writers see it in the first few weeks. Kite finds the journalists, newsletter writers, and bloggers who cover your market and reads what they've written recently. It then drafts a pitch for each one that leads with the finding closest to their beat. A reporter who covers customer service gets the response time finding, while a reporter who covers small business gets the breakdown for companies under 50 people. For more on how Kite researches reporters and personalizes pitches, see [Run a media outreach campaign](/use-cases/media-outreach.md).

Kite also turns the findings into social posts, usually one finding per post with its chart, and suggests timing for the series. Once you authorize it, Kite publishes them through your connected LinkedIn and other social accounts. It can also write the announcement email to your customers and your list, many of whom will want to see where they rank.

**Related Playbooks**

- [How to build a media list of journalists who cover your industry](/how-to/build-a-media-list-of-journalists-who-cover-your-industry.md): Find the reporters and newsletter writers who have recently covered the metrics your benchmark measures.
- [How to find a journalist's email address](/how-to/find-a-journalists-email-address.md): Find a professional address for each writer on the list so the pitch reaches them directly.

### Measure who cites the benchmark and refresh it

After launch, Kite measures the report by readers and citations. On a website Kite hosts, its built-in analytics show how many people visited the report and where they came from. Sources include search, social, email, and AI assistants such as ChatGPT and Perplexity.

For AI answers, Kite tracks the questions your benchmark was built to answer, such as "What is a good first response time for a support team?", across ChatGPT, Gemini, Perplexity, and Claude. It records whether each answer mentions your company and whether it cites your report page, then checks again as time passes. Add Kite to Slack and it can also keep a standing watch for new pages that mention your report or your company, and tell you when one appears.

A benchmark gains authority each time it's updated with the same method. You can ask Kite to rerun the analysis quarterly or once a year. Each run reads the latest data, applies the same metrics, peer groups, and privacy rules, and shows what changed since the last edition. A hosted report page keeps the same link when Kite updates it, so every citation from the last edition still points to the current numbers. The change itself, such as "first response times fell 18% in a year," often becomes the next headline.

## What you get

- **A benchmark plan.** The metrics, peer groups, time period, and expected headline findings, for you to approve before Kite touches any data.
- **Group-level figures.** Medians, ranges, and percentiles for each peer group, calculated from your data and checked against the smallest group size you set.
- **The published report.** An open page with a section for each metric, charts and tables in your brand, a source line under every chart, and a methodology section.
- **Quotable findings.** Each headline number written as a single sentence that names the group, the sample size, and the time period, ready for a reporter or an AI answer to quote.
- **A launch.** Personalized pitches to the writers who cover your market, a series of social posts, and an announcement email.
- **A citation report.** Visits and traffic sources for the report, plus whether AI answers to your benchmark questions mention your company and cite the report.
- **The next edition.** An optional scheduled rerun that applies the same method to new data and shows what changed.

## How to get started

Tell Kite what you want to benchmark in plain language. You might say, "We have support data from 3,000 companies. Help us publish a response time benchmark," or "Our customers keep asking whether their churn is normal. Can we answer that with our data?" If you're not sure which metric to start with, ask Kite to suggest the ones your buyers search for most.

Kite proposes the metrics, peer groups, time period, and headline findings it expects to test. Once you agree, it asks for the data. Connect the product where the data lives, such as PostHog, Stripe, HubSpot, or Google Sheets, or share a CSV export with Kite in Slack. Tell Kite your publishing rules at the same time, such as the smallest group size and any customers to leave out.

You can work with Kite in your browser or in Slack. Kite asks for your approval before it publishes the report, sends a pitch or an email, or posts on social media.

## Integrations used to publish a benchmark report

Kite's research tools, website hosting, report pages, and AI-answer tracking are built in. Connections come in when your data lives in a product your team already uses, or when you want Kite to publish to a website or social account it doesn't host.

### Read your product and customer data

Connect the product that holds the numbers you want to benchmark:

- [PostHog + Kite](/integrations/posthog.md): Read the product events and funnels that show how customers use your product.
- [Mixpanel + Kite](/integrations/mixpanel.md): Read the events and funnels your team already tracks in Mixpanel.
- [Amplitude + Kite](/integrations/amplitude.md): Read the product usage data and funnels stored in Amplitude.
- [Stripe + Kite](/integrations/stripe.md): Read payments and subscriptions for benchmarks about revenue, pricing, or churn.
- [HubSpot + Kite](/integrations/hubspot.md): Read deals and contacts for benchmarks about sales cycles and pipeline.
- [Salesforce + Kite](/integrations/salesforce.md): Read opportunities and accounts for the same kinds of sales benchmarks.

### Read numbers your team keeps in a spreadsheet

- [Google Sheets + Kite](/integrations/google-sheets.md): Read the tab or range where your team keeps an aggregated export, and total or average a column across the rows that match a condition.
- [Airtable + Kite](/integrations/airtable.md): Read the records in an Airtable base that holds your benchmark data.

### Publish the report on your website

Kite publishes directly to a website it builds and hosts for you. If your website runs somewhere else, connect the content system you use:

- [Webflow + Kite](/integrations/webflow.md): Publish the report as a new page on your Webflow site.
- [Self-hosted WordPress + Kite](/integrations/wordpress-self-hosted.md): Publish the report as a post on a WordPress site you host.

### Share the findings

- [LinkedIn + Kite](/integrations/linkedin.md): Publish the series of finding-by-finding posts to your LinkedIn profile or company page once you authorize it.

## Common questions

### What makes a good benchmark report for B2B marketing?

A good B2B benchmark measures something buyers already track, splits the results into peer groups readers recognize, and states every number with its sample size and time period. It also explains its method plainly, so a reader can trust the numbers without contacting you. The best benchmarks repeat on a regular schedule with the same method, which turns a one-time report into a reference people return to and cite year after year.

### How much data do I need for a benchmark report?

You need enough companies or records in each peer group for its typical value to hold steady. A report with several hundred customers in total can usually support a useful set of breakdowns. Kite tells you which peer groups your data can support before it writes anything, and it merges or drops groups that fall below the floor you set.

### Is it legal to use customer data in a benchmark report?

Publishing aggregated, anonymized figures is common practice, but whether you can do it depends on your contracts, your privacy policy, and the privacy laws that apply to your customers. Check your customer agreements and talk to whoever owns legal and privacy at your company before you publish. Kite follows the rules you give it, such as leaving out customers who opted out and never reporting a group below your minimum size, and it publishes only group-level figures.

### Should a benchmark report be gated?

A benchmark built to earn citations should be open, because writers and AI answers can only quote numbers they can see. If you also want leads, publish the findings openly and offer a downloadable version with the complete data tables behind a form. Kite can build both, and the open page keeps earning citations while the download collects contact details.

### How is a benchmark report different from a survey report?

A survey report measures what people say, while a benchmark from your own data measures what companies actually did. That makes product data harder for a competitor to copy and harder for a reader to dismiss. The trade-off is that your data only describes your own customers, so the methodology section should say who those customers are. Kite can combine the two approaches, such as pairing your product data with a short survey that asks why the numbers look the way they do.

### Can Kite turn a one-time benchmark into a recurring report?

Yes. Ask Kite to rerun the benchmark on a schedule, such as every quarter or every January. Each run reads the latest data, applies the same metrics, peer groups, and privacy rules, and shows what changed from the previous edition. Kite keeps each edition's method and results in your team's knowledge base, so the comparison stays consistent over time.