Integration of Facebook Product Catalog with Aisensy

Discover the power of integrating Facebook Product Catalog with your Aisensy. Seamlessly sync your product catalog and marketing efforts.

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Benefits of connecting Aisensy with Facebook Product Catalog

Automated Catalog Updates: No more manual work. Our integration ensures changes made in your Aisensy are instantly reflected in Facebook Product Catalog, keeping your product information accurate and up-to-date for Meta ads.

Targeted Marketing: Utilize Aisensy insights to create highly targeted Facebook campaigns. Showcase products tailored to your customers' preferences, driving higher conversion rates and satisfaction.

Dynamic Remarketing: Stay top-of-mind with dynamic remarketing campaigns. Utilize Aisensy data to retarget customers who abandoned carts or engaged with specific products, delivering personalized ads that drive purchases.

Efficient Inventory Management: Say goodbye to out-of-stock frustrations. Our integration ensures Meta ads only display available products, optimizing inventory and enhancing the customer experience.

Streamlined Order Management: Simplify fulfillment with automated order syncing between GMC and Aisensy. Ensure accurate and efficient processing, leading to happier customers and smoother operations.

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Aggregate your customer data, create a single source of truth and then send this first party data back to any marketing tool.

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Adaptable solutions for your evolving data demands.

Simple, Secure and Reliable

Streamlined, safe& steadfast with 99.6% up time

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UI designed for Instant
integration and immediate
impact.

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Efficient solutions without the hefty price. Designed for all scale businesses

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Abhishek

Marketing at Mamaearth

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Digital Lead, GoodEarth

Read how Good Earth reduced CAC by 40% using unified cross-platform analytics.

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Co-founder, Edureka

Read how Edureka used EasyInsights to increase its revenue by 2.4x at a scale of 2x using custom attribution model

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Digital Manager, FMCG

Read how a leading FMCG brand used EasyInsights to improve performance using real-time blended data

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