SymphonyAI

SymphonyAI Launches CINDE Assortment & Space Platform

SymphonyAI announced CINDE Assortment and Space, an AI-powered platform for consumer packaged goods (CPGs) that links assortment strategy, planogram execution, and in-store compliance. Backed by SymphonyAI’s Transferable Demand AI (trained on 25 years of retail data), the platform is validated across 500+ global CPG deployments including PepsiCo and Southern Co-op. CINDE aims to compress category review cycles from four–six weeks to days, and is offered as a standalone Assortment-as-a-Service or as part of the CINDE CPG Enterprise Suite. Use cases include photo-to-planogram store intelligence, transferable demand-driven assortment optimization, store-based clustering, space-aware category captain workflows, and automated multi-banner planogram generation at scale.

Conde Nast Bringing In Nielsen Catalina Data To Optimize Ad Campaigns

Conde Nast will begin using Nielsen Catalina Solutions purchase data to target, optimize, and measure campaigns on its properties starting in Q1 2018. The publisher has integrated its Spire data and insights platform with the Nielsen Catalina API, updating daily, making Conde Nast the first publisher to connect its customer data to NCS for advertisers. The initial campaigns will involve two CPG brands. Spire already combines offline data from 1010data with deterministic data from Conde Nast’s 60 million magazine subscribers and 40 million email subscribers, enabling daily optimization across campaigns and at various stages of measurement. Marketers can create audience segments (e.g., shampoo buyers) and build predictive scores to target where those audiences are most present, with traditional studies used at campaign end to account for broader trends. This partnership expands data-driven attribution and qualitative insights across Conde Nast’s advertising business.

Condé Nast’s Programmatic Play: A Trifecta Of Brand Safety, Scale And Data

Condé Nast has expanded its programmatic capabilities to boost inventory access, scale and brand safety. EVAN Adlman, Condé Nast’s VP of programmatic, describes revamping the ad stack and adding header bidding to give buyers faster, more reliable access to inventory. The premium programmatic offering now targets buyers’ exact bidding requirements, yielding higher win rates and reducing the sense of constant outbidding. The publisher highlights brand-safe context across Wired, GQ, Vanity Fair and Vogue and notes that 50-60% of premium programmatic deals rely on Condé Nast’s first-party data for segmentation and targeting. Acquisitions—1010data (end of 2015) and CitizenNet—enhance social data access, while efforts to lean into server-side header bidding and high-impact formats continue. Condé Nast also discusses competition with Facebook and Google and the role of data in attracting advertisers to its portfolio.