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Ad platforms don't know which clicks turn into customers. Adscriptly fixes that. Adscriptly captures AI lead scores, CRM pipeline data, and predicted lifetime value, then route those signals back to your ad platforms as enhanced conversions. Smart Bidding stops chasing form fills and starts optimizing for real revenue. Our AI agents then use that data to automatically refine keywords, bids, and ad copy so your campaigns keep getting smarter without the manual work.
ASP.NET Adscriptly{"enterprises" => "Ideal for enterprise-level applications requiring high security, performance, and scalability.", "developers_with_c#" => "Highly suitable for developers with a background in C#, offering seamless integration with existing .NET applications.", "large_web_applications" => "Perfect for developing large web applications, API services, and microservices.", "teams_using_microsoft_stack" => "Best for development teams already using the Microsoft technology stack, including Azure services."}
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Adscriptly's answer:
Most ad tools do one thing. They either optimize your bids or they track your conversions. Adscriptly does the full loop. It pulls signals from your CRM, call tracking, forms, payment systems, and whatever else your business runs on, then routes that data back into Google Ads so the algorithm actually knows which leads turned into money. Nobody else connects that many signal sources and feeds them back into the ad platform at this price point.
Adscriptly's answer:
The tools that do something similar cost $400 to $5,000 a month and they're mostly built for ecom. Adscriptly starts at $79 and is built for service businesses and agencies where lead quality is the whole ballgame. Every plan gets every feature. No gated tiers, no "talk to sales to unlock" nonsense. You plug in your data sources and the AI handles the rest.
Adscriptly's answer:
Marketers and agency owners running Google Ads for service businesses who are tired of reporting 200 leads to a client and then finding out only 5 of them were any good. If you've ever had that awkward conversation about lead quality with a client or your boss, Adscriptly was built for you.
Adscriptly's answer:
After spending years in the digital marketing trenches, I watched countless businesses pour money into advertising campaigns that optimized for vanity metrics rather than real revenue.โจโจAdscriptly was born from this vision. We built AI agents that don't just analyze dataโthey understand it, learn from it, and automatically optimize your campaigns based on real business outcomes.
Adscriptly's answer:
We use GPT-4o and text embeddings for keyword automation. The system identifies negative keywords and gets smarter over time by storing user input in a vector database. Claude Opus handles more complex tasks like scoring lead quality from form submissions. The platform connects via APIs to CRMs like Salesforce, HubSpot, Pipedrive, GoHighLevel, and call tracking platforms like CallRail.
Adscriptly's answer:
We just launched so we're building our early user base right now. We're working with a handful of agencies and service businesses in the legal and home services space. No big logos to drop yet, just real people testing it and giving us feedback so we can make it better.
Based on our record, ASP.NET seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Based on libuv, the library that significantly influenced Node.js, Microsoft modernized the aging ASP.NET with ASP.NET Core starting in 2014. Later, Kestrel, a .NET-based engine, was added as a modern foundation. Minimal APIs marked ASP.NET Coreโs arrival in modern web development in 2021. - Source: dev.to / 7 months ago
Learn how to integrate n8n workflows into ASP.NET Core applications. API integration guide for triggering automations from your C# backend. - Source: dev.to / 8 months ago
In the Microsoft world, it is the direct equivalent of ASP.NET Core. Phoenix is known for high developer productivity and exceptional application performance. - Source: dev.to / 8 months ago
Why Use .NET for Microservices? There are many reasons why .NET is a solid choice for microservices development. Cross-platform support: Using .NET Core and the newer .NET versions (6, 7, and 8), you can deploy your services across Windows, Linux, and macOS platforms. This is useful when deploying to cloud environments like Azure, AWS, or even on-premises. Performance: .NET is known for its high performance. It... - Source: dev.to / about 1 year ago
Most of the books teach C# and .NET, ASP.NET, Blazor, or T-SQL. I also found some .NET-specific coverage of wider topics: architecture and design, concurrency, automated tests, functional programming, and dependency injection. - Source: dev.to / over 1 year ago
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Adzooma - Optimise Your Google, Facebook and Microsoft Ads Account with Free PPC audit and Free platform access.