Storyly Placement SDK — Analytics System Raporu

Total Events: 70+  |  Widget Types: 5  |  Callback: 4  |  Platform: Android / iOS

Analytics Architecture

1. SDK Layer — Detects user interactions, produces events, and delivers them to the callback. Fully provider-agnostic.
2. Host App — onEvent reads the event type via payload.baseEvent.getType(). Widget-specific extensions are used for typed payloads.
3. Analytics Provider — Events are forwarded to Firebase, Adjust, or any custom system. No SDK-side configuration required.

Platform Comparison

Callback Flow — Code Example

storylyView.listener = object : STRListener {
    override fun onEvent(widget: STRWidgetController, payload: STREventPayload) {
        val eventType = payload.baseEvent.getType()

        payload.storyBar { storyBarPayload ->
            analytics.track(eventType, storyBarPayload)
        }
        payload.videoFeed { videoFeedPayload ->
            analytics.track(eventType, videoFeedPayload)
        }
        payload.banner { bannerPayload ->
            analytics.track(eventType, bannerPayload)
        }
    }
}

storylyView.delegate = self

func onEvent(widget: STRWidgetController, payload: STREventPayload) {
    let eventType = payload.baseEvent.getType()

    payload.storyBar { storyBarPayload in
        analytics.track(eventType, storyBarPayload)
    }
    payload.videoFeed { videoFeedPayload in
        analytics.track(eventType, videoFeedPayload)
    }
    payload.banner { bannerPayload in
        analytics.track(eventType, bannerPayload)
    }
}

Event Table — Android & iOS

Note: the original document had filter buttons (All / Impression / Click‑CTA / Navigation / Interaction / Lifecycle) to narrow this table by category. In this Markdown version the full table is listed; use the Category column to filter manually.

StoryBar

Video Feed

Banner

Other Callbacks

SDK Events → Dashboard Metrics Mapping

This section maps SDK-level events to the metrics visible in the Storyly Dashboard. Use this as a reference when verifying that your analytics implementation aligns with dashboard data.

Key Notes