
Open
Posted
•
Ends in 6 days
Paid on delivery
We are a high-volume digital marketing company looking for an experienced AI Automation Developer / Google Ads API Developer to build an automated system for creating and launching Google Display Ad campaigns. We are currently adding approximately 20–40 new Google Display clients per day, and our manual campaign creation process has created a significant backlog. Our goal is to automate as much of the campaign setup process as possible using Claude Code, AI, Google Sheets, and the Google Ads API. This is not a simple Zapier automation. We are looking for someone capable of designing and building a reliable production system that can process a large volume of clients. What We Want to Build We currently maintain a Google Sheet containing our Google Display advertising clients. At minimum, the system would receive: Business Name Website URL Client/Account Information Target Location / Service Area Target Impressions Any additional campaign requirements The automation should take a new client from the Google Sheet and automatically perform the majority of the campaign creation process. 1. Read New Clients From Google Sheets The system should automatically detect clients that are ready for campaign creation and begin processing them. It should also maintain statuses such as: Ready → Processing → Creative Generated → Campaign Created → QA → Live / Error 2. Analyze the Client's Website The system should visit and analyze the client's website to determine: Business type Services offered Branding Logo Images Colors Geographic service area Relevant landing pages Advertising messaging Calls to action The system should extract enough information from the website to intelligently build the advertising campaign. 3. Automatically Generate Display Ad Creatives Using AI, the system should create professional Google Display advertising creatives based on the client's website and branding. Ideally, this includes generating the appropriate image assets and sizes needed for Responsive Display Ads. The system should be capable of using the client's existing branding, logo, images, services, and website content whenever appropriate rather than creating completely generic advertisements. We are open to using Claude alongside image-generation APIs or other tools where appropriate. 4. Generate Ad Copy AI should automatically create: Headlines Long headlines Descriptions Calls to action Other required Responsive Display Ad assets Copy should be based on the actual client's business and website. 5. Build the Google Ads Campaign Using the Google Ads API, automatically create the campaign inside the appropriate Google Ads account. This may include: Campaign creation Campaign naming Budget Geographic targeting Ad groups Audience/targeting settings Responsive Display Ads Image assets Logos Headlines Descriptions Landing page URLs Required exclusions/settings Other standardized campaign settings We will provide the campaign structure and rules that should be followed. 6. Automated QA / Error Handling Because we process a large number of clients, reliability is extremely important. The system should check for issues such as: Missing website information Invalid URLs Missing logos/images Google Ads API errors Disapproved or invalid creative assets Missing targeting information Duplicate campaigns Failed campaign creation If the automation cannot confidently complete a campaign, it should flag the client for manual review instead of guessing. Errors and status updates should be written back to the Google Sheet or preferably displayed in a simple management dashboard. Ideal Workflow Our ultimate goal is: New Client Added to Google Sheet → Website Analyzed → Branding/Content Extracted → Ad Creative Generated → Ad Copy Generated → Google Display Campaign Built → Automated QA → Campaign Ready for Review/Launch We want our employees primarily handling exceptions and QA rather than manually building every campaign. Required Experience Please apply only if you have strong experience with several of the following: Claude Code / Anthropic API AI agents and AI automation Google Ads API Google Display / Responsive Display Ads Google Sheets API Image generation APIs Web scraping / website content extraction API integrations Python and/or Node.js OAuth / Google authentication Workflow automation Databases and queues Error handling and retry systems Building production-level automation systems Google Ads API experience is especially important. We are not simply looking for someone who knows how to manually create Google Ads campaigns. Scale The system needs to be designed for significant volume. We are currently adding approximately 20–40 new clients every business day, and that number may continue to increase. The system therefore needs proper: Queue management Logging Retry handling API rate-limit management Duplicate prevention Error reporting Human review / approval functionality We want something that can eventually process hundreds or thousands of campaigns reliably, not a fragile automation that breaks after processing a few clients. Important We understand that AI should not blindly publish advertising campaigns without safeguards. We want the developer to build appropriate approval checkpoints so campaigns or creatives can be reviewed by our team when necessary before going live. The goal is to automate 90%+ of the repetitive work while allowing our team to handle quality control and exceptions. If the initial system works well, we have several other high-volume digital marketing processes that we would like to automate using AI. When Applying Please answer the following: -Your experience with Claude Code / AI. -Explain how you plan to set up this campaign and how it will work and flow. We are looking for someone who can architect and build the complete system, not simply advise us on how it could be done.
Project ID: 40682749
9 proposals
Open for bidding
Remote project
Active 6 secs ago
Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
9 freelancers are bidding on average $463 USD for this job

Hi There! I specialize in AI automation and Google Ads API development, with 9+ years of experience building scalable production systems for high-volume campaign workflows. Here’s how I can help: 1. Automate Google Sheets intake, website analysis, AI creatives, and ad copy. 2. Build Google Ads API campaign creation with targeting, budgets, and statuses. 3. Add QA, error handling, logging, and scalable processing for 20–40 clients daily. Can you share your current Google Sheet structure and Google Ads API setup?
$500 USD in 7 days
3.9
3.9

Hi, I appreciate the opportunity to help automate your Google Display Ads campaign creation process. It sounds like you need a robust system that efficiently handles a high volume of clients, from analyzing their websites to generating tailored ad creatives and setting up campaigns in Google Ads. My approach would involve building a seamless integration between Google Sheets, Claude Code, and the Google Ads API to ensure a streamlined workflow. I have extensive experience with AI automation and API integrations, particularly with the Google Ads API, which is crucial for your needs. By prioritizing reliability and including necessary checkpoints for quality control, I can create a system that not only processes campaigns efficiently but also flags any issues for manual review when needed. Best regards, Muhammad Arshman
$550 USD in 4 days
3.0
3.0

Dear Client, I read "Automation Developer Needed – Google Display Ads Campaign Creation Using Claude Code / AI Overview" carefully and understand you need hands-on Claude/Anthropic expertise to build or integrate an AI assistant that actually works reliably. My hands-on experience with Claude (Anthropic), Claude Code aligns directly with what you need. I've built production integrations with the Claude API — prompt engineering, tool use, agentic workflows and RAG pipelines — tuned for accuracy, cost and latency, and I can bring that same rigor to your project. A few quick questions to get us started: 1. Which Claude model and use case are you targeting — chat assistant, agent, RAG, or something else? 2. Do you have existing prompts/data, or should we design the pipeline from scratch? 3. What's your expected usage volume, so we can plan for cost and rate limits? Thanks & Regards, Deepak
$488 USD in 14 days
0.0
0.0

Hi, The key here is building a reliable production pipeline, not just connecting a few APIs. I’d structure it around Google Sheets → queued job → website/brand extraction → AI copy & creative generation → Google Ads API campaign creation → automated QA → approval/live, with retries, rate-limit handling, duplicate protection, logging, and manual review for uncertain cases. I have 13+ years in full-stack development, AI automation, Python/Node.js, API integrations, web extraction, Google services, and production workflow systems. I’d keep the architecture modular so the same pipeline can scale from 20–40 clients/day to much higher volume. I can build the complete system and document the flow clearly. Happy to discuss your existing campaign structure and Google Ads API setup. Let's connect and get started soon. Best regards, Binaya T.
$400 USD in 1 day
0.0
0.0

Build a production-grade automation to create Google Display (Responsive Display) campaigns at high volume. Pipeline: poll Google Sheets for new “Ready” clients → analyze website content for services, locations, brand cues → generate ad copy and asset plans with Claude Code (plus image APIs when needed) while reusing provided logos/images/colors → assemble compliant responsive display assets → create campaigns via Google Ads API with your naming/budget/targeting rules → run QA gates (URL validity, missing assets, duplication checks, API error handling, disapproval risk) and write statuses back to the Sheet. Include queue management, retries, idempotency, rate-limit handling, detailed logging, and human approval checkpoints so nothing goes live without confidence. The system will process 20-40 clients/day reliably with robust error reporting and “flag for manual review” flows for edge cases.
$250 USD in 3 days
0.0
0.0

Hi, I'd build this as a queue-based pipeline, not a single script, because that's the only way it survives running 20-40 clients a day without falling over. Each client moves through its own tracked job (Ready, Processing, Creative Generated, etc.), so if one site fails to scrape or one Google Ads call errors out, that one client gets flagged for review and everything else keeps moving. Flow-wise: a worker reads new rows from Sheets, scrapes the site for branding, colors, logo, copy angles, and service area, then hands that to Claude for ad copy and an image pipeline for display assets. Once assets pass basic checks, it builds the campaign through the Google Ads API and drops it into a QA/approval state before going live. I've built retry logic and rate-limit handling for API-heavy systems like this before, and duplicate prevention is baked in from the start, not bolted on later. I've used Claude Code extensively for exactly this kind of content and decision-making step. Given the scope, I'd estimate 2 days to get a working version processing real clients. What's your current Google Ads account structure, one MCC with sub-accounts per client, or something else? Best, Emrah
$450 USD in 2 days
0.0
0.0

Hi We are available to take this on and get your automated Google Display Ad creation system working perfectly. The main issue with high-volume automation pipelines is usually handling queue management, rate limits, and asset validation across the Google Ads API specifically. Are you planning to use Python with robust queuing for better retry handling and do you want the status updates written back as a clean table or structured logs in your tracking dashboard? We recently fixed a similar production automation for a marketing firm that needed custom metadata and high-volume asset generation injected into ad campaigns. I used the Google Ads API to hook into campaign creation events and built an AI-powered pipeline that validated inputs before using API batching to update accounts. I corrected their rate-limit handling and error structures to ensure campaigns didn't fail during high-load syncing. Our fix stopped their campaign data from being lost during spikes and made the whole scaling process way faster for their team. We are eager to discuss the project further. Reach out to initiate a conversation! Best regards, Quantum Code Solutions
$500 USD in 7 days
0.0
0.0

Delray Beach, United States
Payment method verified
Member since Dec 17, 2020
$250-750 USD
$750-1500 USD
$30-250 USD
$1500-3000 USD
$250-750 USD
₹1500-12500 INR
₹12500-37500 INR
$30-250 USD
₹1500-12500 INR
$8-15 USD / hour
₹2000-4000 INR
$10-30 AUD
₹1500-12500 INR
$15-50 USD / hour
$30-250 AUD
$250-750 USD
₹1500-12500 INR
$250-750 USD
₹1500-12500 INR
$250-750 USD
$100-200 USD
$15-25 AUD / hour
₹1500-12500 INR
$750-1500 USD
₹1500-12500 INR