Aqfer Integrates MadConnect to Simplify and Speed Data Connectivity for Marketing Solution Providers

Aqfer Integrates MadConnect to Simplify and Speed Data Connectivity for Marketing Solution Providers

The partnership addresses one of the most significant challenges in today’s privacy-first advertising ecosystem: seamless data interoperability across diverse marketing and advertising technology platforms.

Aqfer, a leading provider of enterprise-grade marketing data solutions, announced the integration of MadConnect – the industry’s data connection automation engine – into its marketing data platform. This strategic partnership addresses one of the most significant challenges in today’s privacy-first advertising ecosystem: seamless data interoperability across diverse marketing and advertising technology platforms.

“We’re excited to bring MadConnect capabilities to Aqfer’s clients,” said Bob Walczak, CEO of MadTech. “As data privacy requirements expand and businesses focus on first-party data strategies, platform interoperability is mission-critical.”

MadConnect is a data connection automation engine, specifically built for AdTech and MarTech. It enables privacy-safe transfer and normalization of data between platforms. By integrating MadConnect, Aqfer eliminates the costly and resource-intensive burden of building and maintaining custom API connections. Marketing solution providers can now establish plug-and-play data connections between their environments and any source or destination platform in the advertising industry in just hours – instead of weeks or months.

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The new integration delivers essential benefits for marketing solution providers, including:

  • Engineering Resource Optimization: Eliminate the development and maintenance burden of custom API integrations, allowing engineering teams to focus on core product innovation rather than connectivity challenges.
  • Accelerated Time-to-Market: Reduce integration timelines from months to minutes with plug-and-play connections to major advertising platforms, including Meta, The Trade Desk, Google, Amazon Ads, and dozens more.
  • Privacy-First Data Operations: Meet heightened consumer privacy requirements through secure, compliant data transfer workflows that support the industry’s shift from third-party cookies to first-party data strategies.
  • Unlimited Scalability: Process and transfer unlimited data between platforms with predictable costs, supporting even the most demanding enterprise use cases.

Key use cases powered by the MadConnect integration include:

  • Audience Activation: Seamlessly move audience segments across platforms to enable precise targeting and personalized messaging in a privacy-compliant manner.
  • Campaign Optimization: Facilitate real-time performance data sharing between platforms for agile campaign adjustments and improved ROI.
  • Measurement and Reporting: Eliminate data silos by connecting disparate platforms for comprehensive cross-channel attribution and performance analysis.
  • Data Enrichment: Easily enhance first-party data with additional insights for more sophisticated audience targeting and personalization.
  • Data Clean Room Access: Simplify connections to data clean rooms and CDP environments without complex engineering requirements.

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“With the integration of MadConnect, Aqfer is addressing a critical challenge for marketing solution providers in today’s rapidly evolving data landscape,” said Mark Sneathen, Chief Growth Officer at Aqfer. “By eliminating the engineering burden of building and maintaining custom data connections, we’re enabling our clients to focus on innovation and value creation rather than integration complexity.”

“We’re excited to bring MadConnect capabilities to Aqfer’s clients,” said Bob Walczak, CEO of MadTech. “As data privacy requirements expand and businesses focus on first-party data strategies, platform interoperability is mission-critical. This partnership delivers immediate operational efficiencies and future-proofs data workflows in an increasingly complex marketing technology ecosystem.”

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