ROI Analysis: Datazoom vs. Direct SDK Implementation

The Problem The SDK Bloat

Traditional multi-SDK implementations create a "passive" data posture characterized by:

  • Redundancy: Paying multiple times to ingest and transport (egress) the same events.

  • Inefficiency: Wasting engineering hours on manual reconciliation and app updates for every new tool.

  • Inaccuracy: "Metric drift" caused by disparate tools reporting conflicting data for the same actions.

  • Performance Tax: Excessive SDKs slow down the user experience and increase app abandonment.

The Solution Source-Side Collection

Datazoom replaces "dumb pipes" with an intelligent "source-side filter." It collects data once and optimizes it before it leaves the device:

  • Source-Side Sampling: Drops unnecessary data at the source to slash downstream vendor bills and cloud egress fees.

  • Metadata Pruning: Strips payload properties per destination to optimize performance.

  • Instant Routing: Toggle new vendors and data collection in a UI without requiring a dev sprint or app store submission.

Datazoom provides a net saving when:

[Downstream Vendor Savings] + [Reduced Cloud Egress] + [Engineering Hours Saved] > [Datazoom TCO]

Example: Strategic sampling can reduce a $15,000/month ingestion bill to $3,000/month by only sending statistically significant data to high-cost vendors.

Datazoom transforms data management from a default "collect everything" bloat into a surgical, high-precision operation. The result is a unified source of truth, faster speed-to-market, and improved application performance.