ChatWithAds enables founders and growth teams to ask direct questions about their ad accounts and business data, receiving clear, actionable answers without navigating spreadsheets or multiple dashboards. It provides reasoned insights with business context applied automatically.

ChatWithAds is an AI ad analytics tool designed for DTC brands and growth teams running paid ads across multiple platforms. It positions itself as a chat interface that knows your ads, connecting directly to Google, Meta, Shopify, Amazon, TikTok, and Klaviyo. Unlike dashboards that require manual navigation, this tool provides immediate answers about ad performance in plain language. Its core value is eliminating guesswork and report-digging, giving users trusted, data-driven responses that reflect their current account state. The first question starts a conversation that remembers your business context, making subsequent answers increasingly sharper. It's built specifically for paid media professionals who need fast, accurate insights without additional tools.

The pain point ChatWithAds addresses is the daily frustration of checking dashboards and skimming lengthy reports to find signals. Founders and growth teams often open an ad dashboard, feel overwhelmed, and close it without clear decisions. Agency reports with 14 slides get skimmed, not acted upon. On Sunday nights, there's anxiety about guessing what's working before Monday. When ROAS drops, identifying the root cause takes hours across multiple platforms. This tool solves these moments by providing direct answers in two minutes or less. It transforms the ad analysis process from reactive reading to proactive questioning, saving time and reducing uncertainty. For e-commerce brands moving quickly, this efficiency means faster pivots and more confident spending.

The first major feature group is real-time data and long-term memory. Real-time data means ChatWithAds reads every connected ad platform live, not from a previous pull. When a user asks a question, the answer matches their account at that exact moment. This eliminates outdated information that leads to wrong decisions. Long-term memory remembers the specific business across every question, so the 50th answer is more precise than the first. The AI builds a context about the user's brand, audience, and ad history, allowing it to understand nuances like seasonal trends or campaign naming conventions. Together, these features ensure answers are both current and increasingly personalized, reducing the need for repetitive explanations.

The second major feature group is pre-built skills and backtesting on $100M+ of real ad spend. Pre-built skills mean ChatWithAds is not a generic wrapped LLM; it uses ad-specific skills that are audited and tuned specifically for paid media. These skills cover common advertising operations like performance analysis, budget recommendations, and creative evaluation. Backtesting validates every new skill against over $100 million of actual ad spend before it reaches users. This ensures reliability and prevents guesswork. The skills are designed to interpret metrics like ROAS, CTR, and CPA within the context of the user's business goals. This validation process gives confidence that recommendations are based on proven patterns rather than hypothetical models.

ChatWithAds

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