Concept mapping: June to Accoil

Welcome! If you’re coming from June and moving to Accoil, this guide is for you. It’s a conceptual orientation — not a technical walkthrough. The goal is to help you map what you know from June to how Accoil works, so you’re not starting from scratch.

What Accoil Is (and Isn’t)

Accoil isn’t trying to compete with full-blown product analytics platforms like June, Amplitude, or Mixpanel.
Accoil is purpose-built for Customer Success, Growth, and Engagement teams.

Mission: Show you which accounts are healthy, which are at risk, and how usage is evolving — without drowning in dashboards.

Concept Mapping: June → Accoil

🔍 Analytics

June	Accoil
Opinionated analytics + dashboards	Predefined engagement & health metrics

Key difference
June came from a product analytics mindset — but with a thoughtful, simplified approach: lots of built-in reports and dashboards, and the ability to build your own. Accoil comes from a different angle: we focus on the customer engagement layer — what’s happening at the account and user level, not every button click.

What you get:

Feature adoption & usage trends
Activation & engagement scores
Weekly change detection
No charts to configure. No dashboards to maintain.

🧑‍🤝‍🧑 People & Audiences

June	Accoil
People	Users
Audiences	Segments

Same idea, different names. Users = individuals. Segments = dynamic groups based on shared traits or behavior.

🏢 Groups, Companies & Account Segments

June	Accoil term
Groups / Organizations / Workspaces	Accounts

Each user belongs to an Account — and you can create Segments for Accounts, just like you can for users. Think of it as “audiences for companies.”

🗞️ Feed

June	Accoil
Raw event log	Insight Feed (curated highlights)

June shows raw events. Accoil shows a summary of what’s changed:

Usage spikes or drops
Segment changes (e.g., “Healthy → At Risk”)
Notable updates to account traits

✨ June AI (SQL Editor) vs. Accoil

June feature	Accoil approach
Natural-language-to-SQL editor	We don’t expose SQL

June let you query your data directly using natural language or raw SQL. Accoil doesn’t. We believe SQL is best handled by your data team — via tools like BigQuery, Snowflake, or ClickHouse.

Accoil focuses on surfaced insights, not exploratory querying. If you need full control, send your events to a warehouse and use a tool designed for deep analytics.

🧩 Events & Event Properties

June	Accoil
Stores full events plus properties	Stores events only

Accoil doesn’t store per-event properties. That’s deliberate. We optimize for signal over detail. If your analysts need deep property slicing, your data warehouse or Amplitude is the better fit.

🔄 CRM Sync

June	Accoil
CRM integrations	HubSpot, Salesforce, Attio, Pipedrive (direct or via Segment). Context widgets for Intercom, Zendesk, Jira

We push insights into the tools your teams already use — so they get context right when they need it.

⚙️ Custom Objects

June	Accoil
Custom objects	❌ Not supported

Accoil sticks to users, accounts, and traits. If custom objects were key to your workflow in June, let’s talk about the job you were hiring them to do.

🧮 Computed Properties

June	Accoil
Computed properties	❌ Not supported

Accoil doesn’t support in-app property calculation. You send us traits — we give you clear signals.

TL;DR — Why Teams Choose Accoil

🎯 Opinionated insights — skip dashboard bloat
💡 Customer-centric — track health, risk, and opportunity
🔁 Integrated — insights show up in your CRM, not buried in tools
🧪 Segment-based action — target users and accounts, not just clicks

In short, June was great for simplified product analytics. Accoil is great for engagement insights that drive action.

Final Thought

Accoil is evolving fast. Tell us what you need — we’re shaping this product for people like you.