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Zoho Apptics gives you crash reports, user flows, funnels, and retention data across your mobile, web, and desktop apps. Getting useful answers out of it takes more than dropping in the SDK. We design the event taxonomy, integrate across every platform you ship, triage crashes on a schedule, and tune alerting to your release cycle. You get a console your whole team can read, and someone who spots the crash spike before your users write reviews about it.
Analytics you can actually trust
An app with an SDK in it is not an instrumented app. Events arrive, the console fills up, and a year later nobody trusts the funnel, because nobody agreed what the events meant before they started firing. The distance between collecting data and being able to use it is made up of naming decisions, privacy settings, and somebody actually reading the crash reports.
The naming is where most of it is won or lost. An event scheme agreed before release, with one name for one thing that happens, so a funnel built next year still lines up with data collected this year. After that it is upkeep. Crash groups get triaged by a person instead of accumulating. Alerts are scoped to a build, so a bad release is visible in hours rather than in reviews. Retention and privacy settings track your policy rather than the default. And the instrumentation gets revisited whenever the app changes shape.
Most Apptics rollouts start by tracking everything and naming nothing consistently. We define the event, screen, and property schema before the SDK ships, so your reports still make sense next year. Funnels and retention curves line up instead of splitting across four spellings of the same user action.
A crash dashboard nobody opens is a liability. We review incoming crash groups on a set schedule, separate long-tail noise from regressions tied to a specific build, and hand your developers a prioritized list with device, operating system, and session context already attached.
Apptics is built privacy-first, but the defaults still need decisions. We set collection scope, opt-in behavior, and retention to match what your privacy policy actually promises, then document it. That keeps your app store disclosures accurate and gives your legal team a straight answer about what you collect.
Most teams instrument iOS differently from Android, then argue about which number is right. We integrate the SDK across native, React Native, Flutter, and web using identical event names and session definitions. One console, one set of definitions, and reports you can compare without an asterisk.
Analytics checked on Monday miss the Thursday regression. We set thresholds on crash rate, adoption, and your key funnel steps, tied to build versions, so a bad release surfaces on its own. Your team hears about it from a notification rather than a one-star review.
Developers, product, and support each want a different view of the same data. We build and maintain a dashboard for each of them, so nobody has to learn the console to get an answer. Every month you also get a short written read on what changed and why.
Why teams hand this off
Anyone can install the SDK and watch numbers appear. The harder part is keeping those numbers trustworthy while the app changes every few weeks. Here is how a self-managed Apptics console typically compares to one run by a team that owns the instrumentation, the triage, and the reporting across every release.
Self-managed setups add events as questions come up, and the naming drifts. We define the schema first and hold every release to it, so the data still answers the question you think of next quarter rather than the one you happened to ask first.
On your own, crash groups accumulate until nobody opens the tab. We review them on a schedule and escalate the ones tied to a release, with the device, build, and session context your developers need to reproduce them quickly.
Teams usually instrument each platform differently and lose the ability to compare. We keep event names, session definitions, and properties identical everywhere, so one report covers the whole product instead of one report per operating system.
Default collection settings rarely match what your privacy policy says. We configure scope, consent handling, and retention deliberately and write the choices down, so your app store listings and your legal answers stay accurate over time.
Dashboards only help when somebody is looking at them. We tie thresholds to build versions so a regression notifies someone the day it ships, instead of surfacing in a review a month later when the damage is already done.
Contractors integrate the SDK once and move on. Every release changes screens, events, and supported platforms, so instrumentation decays quietly. We keep it current and the console clean as your app keeps moving, which is what actually protects the data.
Built for teams shipping apps
Managed Apptics pays off when your app ships often enough that instrumentation drifts, or when nobody on the team owns analytics as an actual job. If you are guessing at why retention dipped, or finding out about crashes from store reviews, handing this off usually removes the problem for good.
How we work with you
Whether you run one app or several, the rhythm is the same. We look at what you track now, agree on what should be tracked, verify it on a real build, then keep watching it as you ship. Most of the value sits in that last part, which is where self-managed setups usually stop.
1
We start by looking at whatever analytics you already run, including a competing tool if you have one. That tells us which events matter to your team, which are noise, and where naming is inconsistent. You get a written taxonomy proposal covering screens, events, and custom properties, plus a short read on what your current data can and cannot answer. Nothing gets instrumented until you approve it.
2
We add the Apptics SDK to your build and configure collection scope, consent handling, and retention to match your privacy policy. Then we verify events on a real device build across every platform you ship, not just a simulator. You watch the events land in the console with the right names and properties before the version reaches your users, so launch day is not the first test.
3
Once you are live, we review crash groups on a schedule, watch adoption and crash-free sessions against the previous version, and keep alert thresholds tied to build numbers. Dashboards get updated as screens and events change. Every month you get a short written read on what moved, what it probably means, and what we would look at next. Instrumentation stays current instead of decaying.
Pricing
Managed Service
ALSO AVAILABLE
DETAILS
Bundled Service
/per organization, per month
renews on the 1st of each month
DETAILS
Best for teams running several Zoho apps who would rather have one agreement than a stack of separate ones. Covers configuration, integration between apps, user administration, and ongoing support across everything you license, Apptics included. One vendor, one invoice, one team that knows how your Zoho setup fits together.
Priced per organization rather than per app, so adding another Zoho app to your stack does not change what you pay us each month.
Testimonials
Everything we manage
