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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.
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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, Django seems to be more popular. It has been mentiond 16 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.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 8 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / almost 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / almost 4 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Opteo - Opteo searches for statistically significant patterns in an account and creates "optimization tasks" to improve account performance.
Laravel - A PHP Framework For Web Artisans
Optimizely - A/B testing you'll actually use.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Adzooma - Optimise Your Google, Facebook and Microsoft Ads Account with Free PPC audit and Free platform access.