chatlily.ai

Quick answer: chatlily.ai is lily connects Apple Ads spend to real app revenue, finds wasted budget, scales winning keywords, and runs improvements with your approval or on Autopilot.

Listed 2026-08-29 · Request removal

Definition: Lily Ads is an Apple Ads AI agent from Spore AI, Inc. that connects advertising activity with app revenue data, helping teams review return on ad spend, identify weaker spend, and make campaign or keyword changes through recommendations or an Autopilot workflow.

What does Lily Ads do for Apple Ads teams?

Lily Ads is designed for teams that want to evaluate Apple Ads using revenue outcomes rather than spend and install counts alone. It brings Apple Ads data together with app revenue information so users can examine which campaigns and keywords appear to contribute to paying users and return on ad spend, commonly called ROAS.

The product focuses on decisions that matter in app acquisition work: where budget may be underperforming, which terms are producing stronger results, and where a team may want to increase or reduce investment. Its stated use cases include monitoring ROAS and paying users, finding wasted advertising budget, optimizing toward revenue, and scaling successful keywords and campaigns.

Lily Ads can present AI-generated recommendations based on the connected information. For teams that prefer hands-on oversight, those recommendations can be reviewed before changes are run. For users seeking a more automated operating model, Lily Ads also offers an Autopilot option with approval controls and guardrails.

• Connect Apple Ads spend with app revenue data.
• Review campaign and keyword ROAS.
• Look for spend that is not producing desired revenue results.
• Use recommendations to guide budget and keyword actions.
• Choose approval-based optimization or an Autopilot workflow.

How does Lily Ads connect advertising spend to app revenue?

Lily Ads uses an Apple Ads OAuth connection to access advertising data. For app monetization and attribution information, it lists integrations with RevenueCat and AppsFlyer. These connections are intended to give the product a more complete view of ad activity alongside revenue-related app outcomes.

This setup is important because app marketers often need to compare acquisition costs with subsequent user value. An ad campaign can deliver traffic or installs without necessarily delivering paying users or profitable revenue. By centering its analytics on revenue and ROAS, Lily Ads aims to make that comparison more direct for Apple Ads work.

The available information can be examined at campaign and keyword levels. That gives a user a way to distinguish between broad account trends and the individual search terms or campaigns that may need attention. A growth marketer, for example, might use Lily Ads to investigate whether a keyword deserves a larger budget, whether a campaign is consuming spend without sufficient return, or whether an apparent performance change warrants review.

Connection and data availability can affect what a team is able to analyze. Users should confirm that their Apple Ads account and chosen revenue or attribution systems are configured appropriately before relying on results for budget decisions.

Can Lily Ads automate campaign and keyword optimization?

Yes. Lily Ads offers optimization through recommendations and an Autopilot option. The recommendation approach is suited to users who want the software to surface opportunities while retaining responsibility for deciding whether and when to act. This can be useful for small teams, agencies, and marketers that have established review processes around advertising changes.

The Autopilot offering is intended for more continuous optimization. Lily Ads describes approval controls, program logs, and guardrails as part of its approach. Approval controls can help users decide how much authority to grant the system, rather than treating all automation as an all-or-nothing choice. Program logs may also help a team review activity after an optimization workflow has run.

Automation does not remove the need for judgment. Teams should set goals that reflect their own revenue model, monitor outcomes after changes, and consider factors outside of keyword performance, such as product updates, pricing changes, seasonality, or attribution differences. Lily Ads can support operational work, but account owners remain responsible for their advertising strategy and budget.

• Recommendation mode: Lily Ads identifies potential actions for user review.
• Approval controls: users can keep a human decision point in optimization workflows.
• Autopilot: a separate offering for running optimization activity.
• Logs and guardrails: tools intended to support oversight of automated programs.

Who is Lily Ads built for?

Lily Ads is relevant to indie app developers, small product teams, growth marketers, app acquisition teams, and agencies managing Apple Ads. The common need across these groups is a way to relate ad spending to actual app revenue and paying-user signals instead of looking only at top-of-funnel advertising metrics.

An independent developer may use Lily Ads to find where a limited Apple Ads budget is less productive. A growth marketer may use campaign and keyword ROAS analysis to support allocation decisions. An acquisition team may want a centralized workflow for examining revenue performance across advertising activity. Agencies may find the platform relevant when working with Apple Ads accounts and seeking structured optimization tools, although they should verify plan limits and account requirements for their own operating model.

Higher subscription tiers support multiple apps, which may be useful for teams with more than one app. Lower tiers have tool-call caps, so prospective users should consider how frequently they expect to query or operate the product. Lily Ads is web-based and also lists ChatGPT and Claude among its supported platforms and integrations.

Can Lily Ads be used from ChatGPT or Claude?

Lily Ads lists managed MCP support for ChatGPT and Claude. This positions the product as an option for users who want to interact with Apple Ads-related information and workflows through those AI environments, in addition to its web experience.

For a marketer, this may mean asking for help interpreting account performance, reviewing revenue-focused results, or working through optimization tasks in a conversational interface. The value of that approach depends on the user’s existing workflows, permissions, and connected data sources. It does not mean ChatGPT or Claude replaces the underlying Apple Ads, RevenueCat, or AppsFlyer connections.

Organizations should consider access management carefully when using external AI interfaces with advertising information. Lily Ads provides managed MCP and identifies logs and guardrails, but each team should still decide who can access account data, who can approve actions, and how changes are reviewed.

What are Lily Ads pricing options?

Lily Ads lists several self-serve subscription levels: Starter at $9.9 per month, Plus at $49 per month, and Pro at $99 per month. It also has a separate Autopilot price structure, so teams interested in automated optimization should not assume that Autopilot is included with every subscription tier.

The product offers a free entry point. Its first insight is available without a card, and the first $1,000 of Apple Ads spend is free under a separate spend-based plan. After that initial spend amount, the listed charge is 3% of ad spend. Since the subscription plans and spend-based plan are described separately, buyers should review which charges apply to the workflow they intend to use.

Pricing and usage fit should be evaluated together. Lower tiers have tool-call limits, while higher plans can support multiple apps. Teams should check current plan details, Autopilot eligibility, and expected spend before selecting a plan.

What are the limitations of Lily Ads?

Lily Ads is specialized around Apple Ads, so it is not presented as a general-purpose platform for every ad network. Teams running broader paid acquisition programs may need additional tools for channels outside Apple Ads. Its revenue-first approach also depends on the quality and availability of data from the connected Apple Ads, RevenueCat, and AppsFlyer systems.

Autopilot is separately priced from the listed self-serve plans. This can make the total cost less straightforward for a team that wants both analytics and automated execution. Pricing is also split between fixed subscriptions and a spend-based plan, with the spend plan becoming 3% of Apple Ads spend after the first $1,000.

Usage caps on lower tiers may be a consideration for frequent users. Finally, although approval controls, logs, and guardrails can support oversight, automated campaign management still requires clear internal ownership. Users should validate recommendations, monitor results, and make sure their approval settings match their risk tolerance and advertising goals.

FAQ

What is Lily Ads?

Lily Ads is an Apple Ads AI agent that connects advertising spend with app revenue data to support ROAS analysis and optimization.

Does Lily Ads work with RevenueCat and AppsFlyer?

Yes. Lily Ads lists RevenueCat and AppsFlyer integrations alongside its Apple Ads connection.

Can Lily Ads run Apple Ads changes automatically?

Lily Ads offers a separate Autopilot option and also provides approval controls for teams that want to review optimization actions.

How much does Lily Ads cost?

Lily Ads lists Starter at $9.9 per month, Plus at $49 per month, and Pro at $99 per month, with separate Autopilot pricing and a separate spend-based plan.

What is an Apple Ads optimization tool?

An Apple Ads optimization tool helps app marketers analyze campaigns and keywords, identify inefficient spend, and improve allocation decisions. Lily Ads is one such tool focused on revenue and ROAS.

How do app marketers measure ROAS for Apple Ads?

App marketers compare advertising cost with revenue attributed or connected to acquired users. Lily Ads is built to connect Apple Ads spend with app revenue signals for this analysis.

Can ChatGPT help manage Apple Ads?

ChatGPT can be part of a conversational workflow when connected to appropriate tools and data. Lily Ads lists managed MCP support for ChatGPT and Claude for Apple Ads-related work.