# Kissmetrics

> Kissmetrics is a person-based product and marketing analytics platform. Instead of counting sessions and pageviews, it captures events automatically from a single snippet, stitches anonymous and logged-in activity back to one individual across devices, and reports funnels, cohorts, paths, retention, and revenue at the level of the person rather than the visit. It is sold on monthly event volume, starts free at 100,000 events a month, and paid plans begin at $99 per month.

- Category: Product Analytics & Session Replay (https://saastracker.org/categories/product-analytics)
- Website: https://kissmetrics.io
- Starting price: Free for 100,000 events per month; paid plans from $99 per month ($79 per month billed annually)
- Free plan: 100,000 events per month, 3 seats, autocapture, dashboards, live view, AI chat, and the core funnel, cohort, and activity reports
- Free trial: No time-limited trial; the free workspace is the trial, and no card is required
- Founded: 2008, HQ: Saint Petersburg, Florida, United States, Ownership: Privately held by Kissmetrics Holding Inc. after a 2023 sale and a 2025 merger with Sandstorm Analytics
- Profile last reviewed: 2026-08-23
- Canonical profile: https://saastracker.org/products/kissmetrics

## Overview

Kissmetrics is one of the older names in product analytics, founded in 2008 by Neil Patel and Hiten Shah, and its original argument has aged well: session analytics tells you a page got 40,000 visits, but not that the same twelve hundred people came back four times before buying. Kissmetrics built its data model around the person, so every anonymous pageview eventually collapses into the identified customer it belonged to, and questions like "how long does it take a trial signup from paid search to become a paying account" have an answer rather than an estimate.

The product you buy in 2026 is not the 2015 product. After a change of ownership in 2023 and a merger with Sandstorm Analytics in 2025, the platform was rebuilt around autocapture and autoconfiguration: one snippet records clicks and pageviews without a tag manager, a scan of the site proposes the initial event schema and dashboards, and an AI chat layer called Ask answers plain-English questions with a real chart or funnel rather than a paragraph. That matters most for the buyer Kissmetrics is now aimed at, a small team without an analytics engineer, because the historical complaint about the tool was always the weeks of instrumentation work before the first useful report.

The current shape of the product is four layers. Track handles autocapture, identity resolution, server-side events, and data import. A data hygiene layer exposes the event schema ranked by volume, lets you assign roles to events so the AI answers correctly, and enforces a UTM convention. Analyze holds the reporting: metrics, funnels, cohorts, paths, activity, A/B test readouts, revenue attribution, people search, and a newer LLM Acquisition report that separates traffic arriving from AI assistants. Act closes the loop with Populations, behavior-defined segments that can be pushed to campaigns or to the roughly thirty native integrations.

The honest caveats are about scale and company size. Kissmetrics today is a small independent business headquartered in Saint Petersburg, Florida, not the venture-funded San Francisco company it was a decade ago, and the review base is thin compared with Mixpanel or Amplitude. In exchange you get transparent per-event pricing that keeps falling as volume rises, a usable free tier, and a product that is opinionated about the one thing it has always been good at: following a real person from first anonymous touch to revenue.

## How it works

1. You paste one JavaScript snippet, or install through Google Tag Manager or Segment. Autocapture starts recording pageviews and clicks immediately, so there is data before anyone has defined a single custom event. Autoconfiguration then scans the site and proposes an initial set of tracked events, metrics, and dashboards, which is the step that shortens the traditional multi-week instrumentation project.

2. Identity resolution is the core mechanic. Every browser gets an anonymous identity; when a person signs in or you call the identify method, Kissmetrics aliases the anonymous history to that person and keeps stitching future events from other devices to the same record. This is why Kissmetrics can report on a customer journey that began on a phone weeks before the desktop purchase, and why its funnels do not silently reset when someone switches devices.

3. Beyond the browser, server-side tracking sends events the client never sees (a subscription renewal, a webhook from a billing system, a churn event), and data import backfills history or pulls from third-party sources. The event schema view then shows every event you are firing ranked by volume, and event roles let you label which events mean signup, purchase, or activation so that the AI chat and the revenue reports interpret them correctly.

4. Reporting is built from those events. Funnels show step-by-step drop-off with the option to inspect the individual people who fell out, cohorts show retention by signup week, paths show the routes people actually take, and revenue reports attribute dollars back to the campaign, channel, or behavior that produced them. Ask sits on top: type a question in plain English and get a chart back, which is how most non-analyst users on a small team will actually interact with the data.

5. Populations turn a query into a persistent, behavior-defined group (for example, people who used the export feature twice but never upgraded). Those groups can be exported, pushed into email and CRM tools through the native integrations, or targeted with campaigns sent from your own domain. Everything is also reachable through the REST API and a CLI, so the same segment logic can be scripted.

## Best for

Small SaaS and ecommerce teams that need person-level analytics (identity resolution, funnels, cohorts, and revenue attribution) without an analytics engineer, and that want transparent event-based pricing with a free tier rather than a sales call.

## Not the right fit for

- Teams that want session replay and heatmaps; Kissmetrics is an event analytics tool, not a behavior-recording tool, so a replay product sits alongside it.
- Buyers who need a large, current review corpus and a big partner ecosystem before signing; Kissmetrics is a small independent vendor and the public review base is thin and dated.
- Very high volume consumer apps where per-1,000-event pricing on hundreds of millions of events is the wrong shape, even at the negotiated custom rate.
- Organizations with a data warehouse strategy that want the analytics layer to query the warehouse directly rather than hold its own event store.
- Product teams that also want in-app guides, tooltips, and onboarding checklists shipped from the same tool, which is Pendo or Userpilot territory.
- Anyone who needs an established enterprise procurement posture: large security questionnaires, named CSMs, and audited controls are not this company's strength.

## Features

### Track

Getting complete, person-resolved event data in with minimal engineering.

- **Autocapture**: A single snippet records pageviews and clicks retroactively, so you can define an event after the behavior happened rather than instrumenting it in advance.
- **Identity resolution**: Anonymous browsing history is aliased to the identified person at signup or login, and events from other devices are stitched to the same record afterwards.
- **Server-side tracking**: Send events the browser never sees, such as renewals, refunds, cancellations, and back-office state changes, so lifecycle reports are not client-only.
- **Data import**: Backfill historical events or load from third-party sources so a new workspace is not starting its cohort analysis from zero.
- **Live view**: A running feed of events landing in real time, which is how you confirm an implementation is correct in the first hour rather than the next day.
- **Mobile SDKs**: iOS and Android SDKs feed the same person record as web events, so a cross-platform journey stays one journey.

### Data hygiene

The unglamorous layer that decides whether every downstream answer is right.

- **Event schema**: Every event you fire, listed and ranked by volume, which is the fastest way to find the duplicate or misnamed event that is quietly corrupting a funnel.
- **Event roles**: Label which events mean signup, activation, purchase, or churn so the AI chat and revenue reporting interpret your schema instead of guessing at it.
- **UTM builder**: Generates campaign links against a house convention, which prevents the classic split between Facebook, facebook, and FB in the attribution report.
- **Property management**: Person and event properties (plan, source, country, experiment variant) are managed centrally and available as filters across every report.

### Analyze

Reporting built on people rather than sessions.

- **Funnels**: Multi-step conversion with per-step drop-off, plus the ability to open the list of individual people who abandoned at a given step.
- **Cohorts**: Retention by signup cohort, week over week, which is the report that tells you whether a product change actually improved stickiness.
- **Paths**: The routes people actually take through the product or site, including the ones nobody designed for.
- **Metrics**: Saved business numbers with definitions attached, so signups and activations mean the same thing to every person reading the dashboard.
- **Activity**: Any event trended over time with segment filters, the everyday view for checking whether a launch moved anything.
- **Revenue reporting**: Connects behavior to dollars, attributing revenue to the campaign, channel, or in-product action that preceded it rather than to last click alone.
- **A/B test readouts**: Measure lift on a variant property with a confidence read, so tests run in another tool can be judged against person-level outcomes.
- **People search**: Search any individual and read their full event timeline, the feature support and sales teams use more than the analysts do.
- **Product usage**: Compares what your best customers do differently from the rest, which is how activation criteria usually get defined.
- **LLM acquisition**: Separates traffic arriving from AI assistants from ordinary referral traffic, a recent report reflecting where discovery is shifting.
- **Campaign performance**: Traffic, signups, and revenue per campaign in one table, so paid spend is judged on downstream outcomes rather than clicks.
- **Dashboards**: Assembled from saved metrics and reports, available on the free plan, with autoconfiguration proposing a starter set on day one.

### Act and operate

Turning a query into a group of people and doing something with them.

- **Populations**: Persistent segments defined by behavior rather than a static list, refreshed as people qualify and disqualify. Gated to paid plans.
- **Ask (AI chat)**: Plain-English questions return an actual chart, funnel, or number, accuracy depending heavily on whether event roles have been set.
- **Campaigns**: Send messages to a Population from your own sending domain, so a behavioral trigger does not require a round trip through another tool.
- **Native integrations**: Around thirty connections covering CRM, billing, ecommerce, testing, and support, included on paid plans rather than sold as an add-on.
- **API and CLI**: Every module is callable, and the CLI makes schema and segment definitions something you can version rather than click through.
- **Export**: Any report can be taken out of the tool, which matters for a small vendor where portability is a legitimate buyer concern.
- **Complex query builder**: Multi-condition segment logic across events and properties, gated above the free tier and the main reason teams move off it.

## Use cases

- **Founder of a $40k MRR B2B SaaS with no data hire**: Trials convert at 9 percent and nobody can say which onboarding steps separate the people who buy from the people who vanish, because the existing analytics only counts pageviews. Outcome: Autocapture plus an identify call on login produces a working signup-to-paid funnel in an afternoon; the product usage report shows paying customers almost all completed a data import in week one, and onboarding is rebuilt around forcing that step.
- **Ecommerce marketing lead spending on three paid channels**: Last-click reporting credits branded search for nearly every sale, and the team suspects it is stealing credit from the channels that actually create demand. Outcome: Person-level attribution shows the average buyer touched a paid social ad eleven days before the branded search click; budget shifts upstream and the revenue report tracks whether the change held over the following two cohorts.
- **Growth marketer at a subscription app**: Churn is concentrated somewhere in months two and three, but the billing system only reports cancellations, not what preceded them. Outcome: A cohort retention view plus a Population of accounts whose weekly active events dropped by half produces a save list, pushed into the email tool through a native integration and worked before the renewal date.
- **Head of product at a small gaming or Web3 studio**: Players arrive from a dozen sources across web and mobile and the team cannot tell which acquisition source produces players who are still active at day thirty. Outcome: Cross-device identity resolution keeps one player as one person across the web landing page and the app, and a day-thirty retention cohort by source ends the argument about which channel is worth reinvesting in.

## Pricing

Usage-based on monthly tracked events, with the per-event rate falling as volume rises. A permanently free workspace covers 100,000 events a month with three seats. Paid plans start at Growth and step through Silver and Gold rate bands automatically as volume grows, with a negotiated Custom band above 5 million events. Annual billing takes a flat 20 percent off.

- **Free**: $0 per month. 100,000 tracked events per month, no card required; Autocapture, autoconfiguration, live view, and dashboards; Core reports: funnels, cohorts, and activity; AI chat, CLI, and API access included; 3 seats. Genuinely usable rather than a demo, though Populations and the complex query builder are held back, which is what eventually pushes a team to upgrade.
- **Growth**: $99 per month ($79 billed annually), from 500,000 events. Charged at $0.20 per 1,000 events, minimum 500,000 events; Populations, behavior-defined segments that stay live; Complex query builder and the full report suite; Around 30 native integrations and extensive API access. The default paid plan and the point at which the product stops being a reporting tool and starts being an activation tool.
- **Silver**: $0.15 per 1,000 events. Same feature set as Growth, better unit economics; Applies automatically as monthly volume rises; Annual billing discount still applies. Silver and Gold are rate bands, not different products; nothing is unlocked or removed by moving between them.
- **Gold**: $0.10 per 1,000 events, at 5 million events and above. Half the Growth unit rate at scale; Full feature set unchanged; The published floor before negotiation begins.
- **Custom**: Negotiated above 5 million events per month. Priced to volume at a better rate than any published band; Suits high-traffic ecommerce and consumer apps; Requires a conversation rather than self-serve checkout.

Add-ons:

- The Accelerator (Free assessment, then a deposit plus success-based fees): A done-with-you implementation engagement priced against agreed outcomes rather than hours. Useful if nobody internally owns analytics, unusual enough as a pricing structure to read the terms carefully.

Billing notes:

- The meter is tracked events, and autocapture fires a lot of them; a busy ecommerce site can burn through 500,000 events faster than the headline number suggests, so estimate against pageviews plus clicks, not just conversions.
- Overages are automated onto the next invoice rather than capping collection, so an unexpected traffic spike arrives as a bill instead of a data gap. Set expectations before running a large campaign.
- Annual billing is a flat 20 percent off, taking Growth from $99 to $79 per month equivalent.
- Silver and Gold apply automatically by volume and gate no features, so there is nothing to negotiate until 5 million events a month.
- The free plan is capped at three seats; seat count on paid plans is not the pricing axis, volume is.
- The Accelerator service is priced on outcomes rather than a fixed fee, which is unusual and worth reading in full before signing.

Value assessment: Per-event pricing that halves between the entry band and the volume band is one of the more honest models in product analytics, and a free 100,000-event workspace with real reports beats most competitors' trial offers. At $99 a month a small SaaS team gets identity resolution, funnels, cohorts, and revenue attribution that would cost several times more from Amplitude or Mixpanel at comparable functionality. The risk you are pricing in is vendor scale rather than sticker: this is a small company that has changed hands twice, so weigh portability, export, and the size of the support organization as part of the cost.

## Strengths

- Person-level identity resolution is the original design, not a feature bolted on, so cross-device journeys and pre-signup history hold together properly.
- Autocapture plus autoconfiguration removes the instrumentation project that historically kept product analytics out of reach for small teams.
- Revenue attribution is a first-class report rather than an integration, which makes the tool legible to founders and marketers, not only analysts.
- Transparent published per-event pricing with a falling unit rate, no quote required until 5 million events a month.
- A free tier with real reports and real dashboards, capped by volume rather than crippled by feature removal.
- Populations connect analysis to action, pushing behavior-defined segments into email, CRM, and campaigns instead of stopping at a chart.
- Everything is callable through an API and CLI, so schema and segment definitions can be versioned rather than clicked.

## Limitations

- The company is small and has changed ownership twice since 2023 (an Acquire.com sale in 2023, then a merger with Sandstorm Analytics in 2025), so continuity is a real diligence question rather than a formality.
- The public review base is thin and largely dated; recent third-party evidence about the rebuilt platform is scarce compared with Mixpanel, Amplitude, or PostHog.
- No session replay or heatmaps, so diagnosing why a step fails requires a second tool alongside it.
- Autocapture makes the event meter move quickly, and overages roll onto the next invoice automatically rather than pausing collection.
- Long-standing user complaints about instrumentation effort on complex sites still apply once you move past autocapture into custom events and properties; someone has to own the schema.
- Paid search attribution has historically been coarse, resolving some ad clicks only to the platform rather than the specific campaign or keyword.
- The integration catalogue is about thirty connections, which covers the common stack but is small next to the hundreds offered by larger analytics vendors.
- Populations and the complex query builder are withheld from the free tier, so the free plan answers questions but cannot act on them.

## Comparisons

- **Kissmetrics vs Woopra**: The closest philosophical match: both were built around the customer journey and the individual person rather than the session, and both offer a free tier and behavioral segmentation that can trigger downstream actions. Woopra leans harder on real-time journey visualization and its own automation triggers; Kissmetrics leans on revenue attribution, autocapture, and the newer AI query layer. If your primary question is "what does this individual's timeline look like right now", Woopra reads more naturally. If it is "which behavior produces revenue", Kissmetrics is the better fit.
- **Kissmetrics vs Countly**: Different answers to the same data. Countly can be self-hosted, which makes it the choice when regulation or policy says event data cannot leave your infrastructure, and it is stronger on mobile-first and push-notification workflows. Kissmetrics is cloud-only but requires no infrastructure, sets itself up from a snippet, and gets to a person-level funnel far faster. Choose Countly for data sovereignty and mobile depth; choose Kissmetrics when nobody on the team wants to operate an analytics server.
- **Kissmetrics vs Mixpanel**: Mixpanel is the larger, better-documented product with a deeper query surface, a bigger integration catalogue, and far more people who already know how to use it. Kissmetrics counters on price shape and on identity: per-event pricing that halves at volume, and pre-signup anonymous history stitched to the customer by default. For a team with an analyst who will live in the tool daily, Mixpanel is the safer purchase. For a small team that wants revenue-linked answers without hiring for it, Kissmetrics costs less and asks less.
- **Kissmetrics vs Amplitude**: Amplitude sits a tier above in analytical depth, experimentation, and enterprise governance, with pricing and a sales process to match once you leave its free plan. Kissmetrics does not attempt that ceiling; it publishes its rates, starts free, and concentrates on the person-to-revenue path. Companies that expect to run a formal experimentation program and a data governance function should start with Amplitude. Companies that want the top three questions answered this month should not.
- **Kissmetrics vs PostHog**: PostHog bundles analytics, session replay, feature flags, experiments, and surveys into one engineering-oriented platform with a generous free tier and a self-host option. Kissmetrics is narrower and more marketing-facing: no replay, no feature flags, but stronger revenue attribution and a UI that a non-engineer will navigate without help. Engineering-led teams almost always prefer PostHog; marketing-led teams that want revenue attribution rather than a toolkit tend to prefer Kissmetrics.
- **Kissmetrics vs Heap**: Both stake their pitch on autocapture, so the differentiator is what happens after capture. Heap invests in retroactive analysis and automated insight surfacing over a very complete dataset, sold mostly through a sales process with quote-based pricing. Kissmetrics publishes its per-event rates, offers a free workspace, and puts revenue attribution and Populations at the centre. Heap is the deeper analysis engine; Kissmetrics is the one a small business can buy on a card this afternoon.

## Implementation

- Setup time: Minutes for the snippet and first data, with autoconfiguration proposing dashboards on the same day. Budget one to two weeks of part-time work to define custom events, set event roles, and connect billing before the revenue reports are trustworthy.
- Learning curve: Low for reading dashboards and asking questions through the AI chat. Moderate for the part that actually decides data quality: naming events consistently, assigning roles, and calling identify at the right moment so anonymous history aliases cleanly.
- Onboarding: Self-serve, with public documentation at support.kissmetrics.io and autoconfiguration standing in for a guided setup. The Accelerator is a paid done-with-you engagement for teams with nobody to own the implementation.
- Migration: Data import can backfill history and third-party sources, which is more than most competitors offer when switching in. Coming from Google Analytics, expect the numbers to disagree, because Kissmetrics counts people and events while GA4 counts sessions and users defined differently. Any export from a previous vendor should be loaded before you start reading cohorts, or your retention curves will start at the migration date.

## Platform, API & security

- Platforms: Web (JavaScript snippet), Google Tag Manager, Segment, iOS SDK, Android SDK, Server-side APIs, Shopify, WooCommerce, Magento, WordPress
- API: REST API covering events, people, properties, and reports, plus a CLI so schema and segment definitions can be scripted and versioned. Server-side tracking endpoints handle events the browser never sees, and any report can be exported.
- Compliance: GDPR, CCPA
- Data residency: Cloud-hosted by the vendor; residency options are not published, so confirm directly if EU-only processing is a requirement.
- SSO: Not published on the pricing page; confirm with the vendor if single sign-on is a requirement.
- Security notes: Person-level tracking means the event store holds identifiable behavioral data, so your privacy notice, consent flow, and retention policy carry more weight here than with an aggregate analytics tool. As a small vendor, Kissmetrics does not publish the audit certifications larger analytics platforms advertise; ask for current documentation before instrumenting anything sensitive.

## Support

- Channels: Email support, Documentation and knowledge base, The Accelerator paid implementation service
- Documentation: Practical documentation at support.kissmetrics.io covering installation, identity, event schema, and each integration, rebuilt alongside the current platform.
- Community: Small. The Kissmetrics blog was once one of the most-read marketing publications on the web, but that audience left with the kissmetrics.com domain in 2017, and there is no large active user community today.

## Company

- Founded: 2008
- Founders: Neil Patel, Hiten Shah
- Headquarters: Saint Petersburg, Florida, United States
- Ownership: Privately held by Kissmetrics Holding Inc. after a 2023 sale and a 2025 merger with Sandstorm Analytics
- Employees: Small team, headcount not disclosed
- Funding: Raised roughly $16 million in venture funding between 2008 and 2013 under its original ownership; no venture funding since, and the business has changed hands privately twice.

Timeline:

- 2008: Founded in San Francisco by Neil Patel and Hiten Shah as a person-based alternative to session analytics.
- 2013: Closes its last venture round, bringing total funding to roughly $16 million; the Kissmetrics blog becomes one of the most-read marketing publications online.
- 2017: The kissmetrics.com domain is sold to Neil Patel and the product moves to kissmetrics.io, costing the company most of its organic audience.
- 2023: Sold in a seven-figure all-cash deal brokered through Acquire.com, passing out of its original venture ownership.
- 2025: Kissmetrics Holding Inc. acquires the assets of Sandstorm Analytics, forms a gaming-focused division, and Evan Sforzo takes over as CEO.
- 2025: Platform relaunched around autocapture, autoconfiguration, the Ask AI query layer, and Populations, with a free 100,000-event workspace.
- 2026: Adds an LLM Acquisition report separating traffic arriving from AI assistants, and publishes per-event rate bands down to $0.10 per 1,000 events.

## Integrations

Salesforce, HubSpot, Marketo, Mailchimp, Help Scout, Shopify, WooCommerce, Magento, ThriveCart, Recurly, PayPal, Optimizely, VWO, Convert, CallRail, Appcues, Qualaroo, WordPress, Google Tag Manager, Segment

## FAQ

### What is Kissmetrics used for?

Tracking individual people rather than sessions. It captures events from your site or app, resolves anonymous browsing back to the identified customer across devices, and reports funnels, retention cohorts, paths, and revenue attribution at the person level. Teams use it to answer questions like which acquisition channel produces customers who are still paying in month three.

### How much does Kissmetrics cost?

There is a permanently free workspace covering 100,000 events a month with three seats. Paid plans start at $99 per month (or $79 per month billed annually) at the Growth band, which charges $0.20 per 1,000 events with a 500,000-event minimum. The rate falls to $0.15 per 1,000 at Silver and $0.10 per 1,000 at Gold from 5 million events, with negotiated pricing above that.

### Is Kissmetrics still around in 2026?

Yes, and it is actively developed, but it is not the same company it was. The original venture-backed business sold in 2023 through Acquire.com, and in 2025 it merged with Sandstorm Analytics under Kissmetrics Holding Inc., now headquartered in Saint Petersburg, Florida. The platform was rebuilt around autocapture and an AI query layer during that period.

### Why is Kissmetrics on kissmetrics.io instead of kissmetrics.com?

The kissmetrics.com domain was sold to co-founder Neil Patel in 2017 and now points at his own marketing site. The product has operated from kissmetrics.io ever since. If you land on a page about SEO or content marketing under the Kissmetrics name, you are on the domain, not the analytics product.

### Does Kissmetrics have a free plan?

Yes. The free workspace covers 100,000 tracked events a month, three seats, autocapture, dashboards, live view, AI chat, and the core funnel, cohort, and activity reports, with no card required. The main things held back are Populations and the complex query builder, so the free tier answers questions but cannot act on the answers.

### What counts as an event in Kissmetrics pricing?

Any tracked action a person takes: a pageview, a click, a signup, a purchase. Because autocapture records clicks and pageviews automatically, the meter moves faster than a manually instrumented tool would. Estimate your volume against pageviews plus meaningful clicks rather than against conversions, and note that overages are added to the next invoice rather than pausing collection.

### Kissmetrics vs Google Analytics: what is the difference?

Google Analytics is built around sessions, traffic sources, and aggregate reporting, and it is free. Kissmetrics is built around individual people, so it can tell you that a specific customer visited eleven times over three weeks before purchasing and attribute the revenue accordingly. Most teams run both: GA4 for traffic reporting, Kissmetrics for the customer journey and revenue questions GA4 cannot answer.

### Does Kissmetrics do session recording or heatmaps?

No. It is an event analytics platform, not a behavior-recording one. If you need to watch what happened on a page, pair it with a replay tool such as Hotjar, FullStory, or Microsoft Clarity, or consider PostHog, which bundles analytics and replay in one product.

### How long does Kissmetrics take to set up?

The snippet takes minutes and autocapture starts producing data immediately, with autoconfiguration proposing dashboards the same day. Getting to trustworthy revenue reporting takes longer: expect one to two weeks of part-time work to define custom events, assign event roles, wire identify calls correctly, and connect the billing system.

### What is a Population in Kissmetrics?

A segment defined by behavior rather than a static list, for example everyone who started a trial, used the export feature twice, and never upgraded. Populations stay live as people qualify and drop out, and they can be pushed to email tools, CRM, or Kissmetrics campaigns. They are a paid-plan feature, not available on the free tier.

### Is Kissmetrics GDPR compliant?

It is designed for use under GDPR and CCPA, but person-level analytics puts more weight on your side of the arrangement than aggregate analytics does, because the event store holds identifiable behavioral history. Data residency options are not published, so if EU-only processing is a requirement, get it in writing before you instrument anything.

### Who owns Kissmetrics now?

Kissmetrics Holding Inc., a privately held company based in Saint Petersburg, Florida. Founders Neil Patel and Hiten Shah exited years ago. The business was sold through Acquire.com in 2023, absorbed Sandstorm Analytics in April 2025, and Evan Sforzo became CEO at that point.

## Editorial verdict

Kissmetrics has an unusual profile: a well-known name attached to a small independent company running a substantially rebuilt product. The core idea, that analytics should follow a person from first anonymous visit through to revenue, is still the right one, and the 2025 relaunch fixed the historical objection by making autocapture and autoconfiguration do the instrumentation work a small team never had time for. Pricing is genuinely small-business friendly: a free 100,000-event workspace with real reports, $99 a month to unlock Populations and the full query surface, and a unit rate that halves at volume without a sales call. What you give up is scale of vendor. There is no replay, the integration catalogue is about thirty connections, recent independent reviews are scarce, and the company has changed hands twice in three years. Buy it if revenue attribution and person-level funnels are the questions you need answered this quarter and you would rather spend $99 than $900; do your diligence on continuity and export before it becomes the system of record for your growth numbers.

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Source: SaaSTracker (https://saastracker.org), an independent editorial project. This profile is compiled from public information, carries no peer reviews or paid placement, and was last reviewed 2026-08-23. Awards are judged on published criteria: https://saastracker.org/methodology