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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.
Amazon AWS
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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.
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be more popular. It has been mentiond 485 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.
> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / 16 days ago
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / about 1 month ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / about 2 months ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / about 2 months ago
AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / 3 months ago
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
Opteo - Opteo searches for statistically significant patterns in an account and creates "optimization tasks" to improve account performance.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Optimizely - A/B testing you'll actually use.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Adzooma - Optimise Your Google, Facebook and Microsoft Ads Account with Free PPC audit and Free platform access.