Best Marketing Software for GraphQL
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Compare the Top Marketing Software that integrates with GraphQL as of November 2025
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This a list of Marketing software that integrates with GraphQL. Use the filters on the left to add additional filters for products that have integrations with GraphQL. View the products that work with GraphQL in the table below.
What is Marketing Software for GraphQL?
Marketing software is used to help businesses manage their marketing activities more effectively. It includes tools such as analytics, automation, and customer relationship management. This type of software is used by many businesses in order to organize and analyze their customer data, as well as to improve customer engagement. Marketing software can be tailored to the specific needs of each business and offers a range of features from basic tracking to advanced reporting capabilities. Compare and read user reviews of the best Marketing software for GraphQL currently available using the table below. This list is updated regularly.
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Lakmoos
Lakmoos
Our AI models are just as accurate as real people. We ran a pre-registered study to check whether we answered like human respondents. Run dozens of surveys before your competition agrees on the scope of their first one. Unlike other AI tools, our layered model enables us to put thick membranes between data streams. Your data is never shared with other clients. We connect the dots differently by combining behavioral science with AI. It can be calibrated to populations you wouldn’t reach otherwise. It is always available, unlike real people who send your surveys directly to their spam folder. AI is an insane opportunity for research agencies, yet it can be challenging to implement it properly. We strive to augment traditional research with AI in a timely and safe manner. We aim to replace 20 % of traditional surveys with real-time insights by 2030, saving billions in research costs and millions of hours of fieldwork globally each year. -
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Tilores
Tilores
Data-driven companies use the Tilores API to create a unified customer view across all their source systems. They build real-time solutions to manage risk, uncover fraud, and deliver personalized digital experiences, without the engineering complexity. Inconsistent, incomplete, and out-of-date customer data makes it hard to align, plan, and report across your business. Before businesses can make use of their customer data, first they need to standardize their schemas, and then unify new and historical data. Even then, building on top of unified customer data in a single centralized system often requires dedicated development resources. Instead, unified customer data should be synced back to each department’s source system, making each system a distributed source of truth. Only then can businesses effectively manage risk, uncover fraud, and better serve their customers. Turn scattered and siloed customer data into a unified Customer 360 view.
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