As a developer, building an ad delivery system and achieving seamless data integration between the front-end and back-end hinges on designing an architecture around a “closed-loop data system across the entire delivery process,” while also ensuring lightweight integration, accurate attribution, and security compliance. The following is a phased practical guide, leveraging openinstall technology to optimize deployment efficiency

1. Preliminary Planning: Defining Core Objectives and Technological Boundaries

• Define core business requirements:

* Clearly define the target audience (online news feeds, search, social media ads, offline promotions, affiliate marketing, etc.) and the platform (H5, mini-programs, apps, PC).

* Identify core data metrics (impressions, clicks, installs, registrations, conversion rate, ROI, etc.) and clarify the front-end and back-end data dimensions that need to be integrated.

• Technologyselection and boundary delineation;

*Frontend: Prioritize technology stacks that are compatible with multiple terminals (e.g., Vue/React for H5, native SDK for APP), and support ad creative rendering and click event collection;

*Backend: Employs a high-concurrency architecture (such as Spring Boot/Node.js) to support data reception, storage, attribution calculation, and API output.

*Third-party tools: Integrate mature attribution tools such as openinstall to replace self-developed device fingerprints and attribution algorithms, reducing development costs and error rates.

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   Core Steps in System Setup: From Architecture Design to Function Development

2. Architecture Design: Establishing a “Front-endAcquisition Middleware Transmission – Back-end Processing” pipeline.

• Core architecture layering:

*Front-end layer: Ad placement entry points (landing page, APP ad slots, mini-program ad components) + data collection module.

*Transport layer: Encrypted data channel + third-party attribution platform (such as OpenInstall)

*Backend layer: Data receiving interface, attribution engine, database (storing delivery and conversion data), business systems (CRM/data analytics platform)

* Presentation layer: Data reporting backend (visualizing campaign performance and conversion funnel).

• Front-end development; implementation of ad placement and data collection.

1. Advertising placement function:

*Developed an advertising creative management module (supporting the uploading and display of images, videos, and text).

* Adapt to multiple terminal entry points: H5 landing pages need to optimize loading speed, APP integrates advertising SDK, and mini-programs connect to platform advertising components.

2. Adapt to multiple terminal entry points: H5 landing pages need to optimize loading speed, Apps need to integrate advertising SDKs, and mini programs need to connect to platform advertising components.

• Core data acquisition operations:

• lIntegrates openinstall SDK to automatically collect core fields such as advertising channel identifier, creative ID, device information (with desensitization processing), and click time.
• lCustom data collection dimensions: Add fields such as deployment area, device type, and network environment according to business needs, and pass them in through the openintsall custom parameter interface.
• Tracking point design: Set up tracking points at key nodes such as ad impressions, clicks, and landing page redirects to ensure no data is missed (openinstall supports automatic data collection without code tracking, reducing development workload).

• Backend Development: Data Reception, Attribution, and Synchronization

*Data receiving interface:

1. Provide a RESTful API interface to receive deployment data collected from the front end (the data format must be aligned with openinstall).
2. Compatible with openinstall data callbacks: The callback address can be configured in the openinstall backend to automatically receive the attributed conversion data (no need to manually pull it).

• Attribution logic implementation:

1. Prioritize the use of openinstall’s existing attribution capabilities to automatically link front-end click data with back-end conversion data (installation, registration, payment, etc.)
2. Custom Attribution Rules: Supports multi-dimensional attribution by channel, creative, landing page, etc. Attribution models can be configured through the OpenInstall backend.

• Data security and compliance development

1. Transmission Security: HTTPS encrypted transmission is used, and data signature verification is enabled when integrating with openinstall to prevent data tampering.
2. Privacy Compliance: In accordance with the Personal Information Protection Law, device information is anonymized through openinstall, and sensitive personal information is not collected.
3. Data permissions: Add authentication (such as token verification) to the backend interface to prevent data leakage.

• Testing and Deployment: Ensure data connectivity without any issues.

Joint debugging and testing:

• l Simulate the advertising delivery process: Generate a test ad link (including openinstall channel parameters), click it to trigger data collection, and check whether the front-end data is transmitted to the back-end normally.
• Conversion testing: Install the app on a test device and complete registration to verify whether openinstall can accurately attribute the conversion to the corresponding advertising channel and whether the backend can receive complete conversion data.

3. Stress test:

• Simulate high-concurrency scenarios to test the stability of backend interfaces and data reception speed.
• Verify data consistency: Compare the amount of data collected from the front end, the amount of data attributed by openinstall, and the amount of data stored in the back end to ensure that no data is lost.
• l Verify report accuracy: Check the campaign performance (exposure-click-conversion funnel) in the data report backend to confirm that the metrics calculation is correct after the front-end and back-end data are integrated.

Conclusion:

The core principle for developers building an ad delivery system is to “focus on business logic and simplify data flow.” By integrating mature tools like OpenInstall, complex attribution algorithm development and multi-terminal adaptation can be bypassed, quickly achieving seamless data integration between the front-end and back-end. By focusing on the completeness of data collection, the accuracy of attribution, and compliance and security, an efficient and reliable ad delivery system can be buil