ChatWithAds

ChatWithAds is an ad intelligence chat platform designed for DTC brands and growth teams running paid ads across multiple channels. It connects directly to platforms like Google, Meta, Shopify, Amazon, TikTok, and Klaviyo via read-only OAuth, then uses conversational AI to provide instant answers about ad performance. Unlike generic LLM wrappers, ChatWithAds uses ad-specific skills that are validated against over $100 million in real ad spend before deployment. This ensures every answer is accurate and actionable. The core value proposition is eliminating the need to navigate spreadsheets, dashboards, or agency reports, giving users a single chat interface to ask any question and get a clear, data-backed response. This tailored approach means the chat understands ad metrics, attribution, and creative performance natively, making it a specialized tool rather than a general-purpose chatbot.

The main pain point ChatWithAds solves is the time wasted manually analyzing ad data from multiple sources. Founders and growth managers often spend hours each week opening dashboards, decoding reports, and trying to isolate what's working. When ROAS drops unexpectedly, they need to identify the specific ad, audience, or time period causing the decline, but traditional tools require jumping between tabs. ChatWithAds eliminates this friction by letting users ask direct questions in natural language and receive precise answers pulled from live account data. This transforms a frustrating, reactive process into a proactive conversation. The platform's real-time nature means the answer reflects the current state of the business, not yesterday's snapshot, enabling faster, more confident decisions.

One of the standout feature groups is Real-time Data. ChatWithAds reads every connected ad platform live, which means the answer matches the user's account at the exact moment of asking. There is no lag from data pulls or outdated dashboards. The platform's architecture continuously scans Meta, Google, Shopify, and other integrations to provide up-to-the-minute metrics. This is crucial for advertisers who need to move quickly, such as when a campaign's ROAS starts deteriorating mid-day. Instead of waiting for a nightly sync, they can ask "What changed in the last hour?" and get an immediate, accurate response. This feature ensures that decision-making is based on the freshest data possible, reducing the risk of acting on stale information.

The second major feature group is Long-term Memory and Backtested Skills. ChatWithAds remembers the context of a user's business across every question, so the 50th answer is sharper than the first. This cumulative learning means the chat understands recurring patterns, such as typical ROAS by channel or seasonal fluctuations. Additionally, every conversational skill is validated against $100M+ of real ad spend before it is released to users. This backtesting ensures that the AI's recommendations are grounded in actual campaign outcomes, not theoretical models. Users are never test subjects for untested algorithms. The skills are specifically tuned for paid media metrics, from cost per acquisition to blended ROAS, making the chat a reliable analyst that improves over time.