AI Deck

Wicle — Measure user behavior with a single tag and let AI propose the next improvement

An AI analytics platform from Plaid Inc., the Japanese company behind the CX platform KARTE. Install a single tag on your site and user behavior — clicks, scrolls, form entries — is captured automatically, with traffic and conversion status visualized on a dashboard. What sets it apart is that it does not stop at displaying numbers. Ask “what caused this?” or “what should I do next?” and the AI answers conversationally, then proposes improvement actions with priority scores attached. A beta launched in September 2024, and the general release followed on August 5, 2025. It is completely free up to the equivalent of 300,000 monthly page views, with no credit card required.

Key Features

  • Automatic measurement with one tag: There is no need to configure each event you want to track. Once the tag is installed, actions such as clicks, scrolls, and form entries are recorded automatically, which greatly reduces event design work
  • Explore causes through AI conversation: Ask natural-language questions about the numbers on your dashboard — “what caused this?”, “what should I do?” — and the AI references the data to return an explanation in plain words. It compares traffic channels, conversions, and visit frequency against past periods and describes notable changes and their likely drivers
  • Improvement proposals with priority scores: Rather than simply listing detected issues, Wicle ranks them by importance, giving you a basis for deciding where to start
  • Heatmaps and session replay: Alongside heatmaps that color-code click rates and scroll depth, session replay lets you watch actual user interactions play back like video, so you can trace reasons for drop-off that numbers alone do not reveal
  • Funnel analysis: See how many users are lost at each step toward conversion and identify which screen is the bottleneck
  • BigQuery integration and the KARTE data foundation: Export accumulated behavioral data to BigQuery and combine it with your own analytics environment. The platform shares the data foundation Plaid has operated for KARTE since 2015, designed for fast analysis of large data volumes

Pricing

PlanPriceWhat’s included
Free¥0Equivalent of 300,000 monthly PV (about 500,000 events/month), session replay for about 50,000 PV/month, 10 custom dashboards, retention of 1 year for events and 1 month for replays. No credit card required
GrowthFrom ¥10,000/month (base fee plus usage-based charges)About 20.5 million events/month, session replay for about 2.05 million PV/month, 30 custom dashboards, 10 funnels, 30 segments, retention of 2 years for events and 2 months for replays
CustomContact for a quoteCapacity and features designed individually
A/B testing (add-on)Free tier available / ¥15,000 per monthThe free tier covers 1,000 UU per month and one concurrent test; the paid option expands this
AI analytics (add-on)Mini ¥7,800/month, Standard ¥20,000/monthExpands the usage allowance for AI analysis features

Pricing reflects information as of August 2026. Check the official site for the latest details.

Pros & Cons

Pros

  • Free up to the equivalent of 300,000 monthly PV, so you can start serious behavioral analysis without a credit card
  • Measurement begins with a single tag, so you can roll it out with almost no engineering time spent on event design and implementation
  • Heatmaps, session replay, and funnel analysis live in one interface, removing the need to move between multiple tools
  • Because the AI puts changes in the numbers into words, members without analytics expertise can still start the discussion
  • A Japan-based service with UI, documentation, and support fully available in Japanese

⚠️ Cons

  • Using the AI analysis features in earnest requires an add-on contract; the free plan’s allowance alone is limited
  • Session replay retention on the free plan is one month, which is short for verification that looks further back
  • The focus is behavioral analysis of websites, so cases that need cross-channel analysis including native apps or offline data will require pairing with other tools
  • AI proposals are suggestions; deciding on and validating the actual measure still rests with people

Comparison with Similar Services

CriteriaWicleGoogle Analytics 4Microsoft ClarityAmplitude
ProviderPlaid Inc. (Japan)Google (US)Microsoft (US)Amplitude (US)
Main useBehavior tracking plus AI cause analysis and improvement proposalsGeneral web analyticsHeatmaps and session replayProduct analytics
Setup effortAutomatic measurement with one tagEvent design requiredTag installation onlyEvent design required
AI insightsConversational, with prioritized proposalsInsights and natural-language searchPartial AI summariesAI features available
Replay / heatmapBuilt inNot included by defaultBuilt inOffered as an additional feature
Free tierEquivalent of 300,000 monthly PVYes (free version)Free with no volume capYes (free version)
Japanese supportFullYesYesPartial

Who Is It For

  • Web managers who cannot find time for GA4 event design and simply want to start collecting behavioral data
  • Marketers who watch the numbers but cannot explain why they dropped, and so cannot decide the next move
  • Product owners who want a concrete picture of stumbles just before conversion, such as form abandonment or skipped landing page sections
  • Small and mid-sized site teams with little budget for analytics tools who want to start on a free tier
  • Organizations that want non-engineering members to use the tool, with a Japanese interface and support

Summary

Wicle sets out to lower two barriers in web analytics at once: the effort of measurement and the difficulty of interpreting data. Behavioral data accumulates from a single tag, and the AI puts the drivers of change into words and points to prioritized actions, so even teams without a dedicated analyst can keep an improvement cycle running. Since it is usable up to the equivalent of 300,000 monthly page views with no credit card, a practical path is to start on the free plan with heatmaps and session replay, then consider the Growth plan and add-ons once your data volume and AI analysis usage grow.

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