Automate Your Small Business Advertising Campaigns

Many small businesses rely on the built-in automation features of ad platforms, like Google's Performance Max campaigns. These tools are black boxes. They optimize for a broad goal like conversions, but you cannot inject specific business logic. For example, you cannot tell Performance Max to automatically lower bids for a product category when your inventory drops below 20 units or to create a new campaign the moment a product goes on sale.

Then there are campaign management platforms like AdEspresso. They are great for creating and scheduling ads across multiple platforms, but their automation capabilities are shallow. They cannot connect to external data sources that drive your business. Consider a 10-person e-commerce company that runs weekly sales on 50 different products. Every Monday, the marketing manager spends 4 hours manually creating new ad groups, writing sale-specific copy, and adjusting bids. They cannot build a workflow in AdEspresso that says, "When a product's 'on_sale' tag is 'true' in our Shopify store, create a Google Ads campaign for it and pause it when the tag becomes 'false'."

The result is wasted time and budget. A manager forgets to pause a sale campaign and spends money advertising a full-price product. A typo in manually created ad copy hurts conversion rates. The structural problem is that these off-the-shelf tools treat advertising as a silo. They are not designed to integrate with the core operational data of your business, like inventory, pricing, or CRM events. Real automation requires connecting the ad platform to your central source of business truth.

Syntora starts by mapping your entire campaign workflow. We identify the exact manual steps, from keyword research and ad copy generation to budget allocation and daily performance checks. We built a Google Ads automation system for a marketing agency, so we know where the most time-consuming bottlenecks are. The goal of this discovery is to codify the rules your business actually uses to make advertising decisions.

The core of the system we build is a Python service using the official Google Ads API client library. For event-driven tasks, we deploy the service on AWS Lambda, allowing it to be triggered by a schedule or an external event from your e-commerce store. For ad copy, we integrate the Claude API to generate multiple variations based on product descriptions and promotional details, which can then be A/B tested automatically. All campaign data and performance metrics are stored in a Supabase database for analysis and reporting.

The delivered system is a set of automated scripts and a custom dashboard that run without manual intervention. You get a Vercel-based dashboard showing campaign status and key metrics, with Claude-powered insights summarizing performance. The system connects to your data sources, like a product feed, and automates campaign adjustments based on rules you define. You receive the full source code and a runbook for maintenance.