ADSwift
A native Mac app that ties Apple Search Ads keywords to RevenueCat revenue.
Tagline
Apple Ads that track revenue
Know which keywords make money, not just installs.
Run Apple Search Ads from your Mac, not a browser.
Ask your ads questions in plain English, then act.
ADSwift is the Apple Search Ads command center for subscription apps that care about revenue, not just installs.
The page is explicitly built around the shift from install-based optimization to revenue-based optimization, and RevenueCat integration is the sharpest differentiator.
The local-first Mac alternative to bloated Apple Ads dashboards and spend-based platform fees.
The app repeatedly emphasizes native macOS UX, local data storage, and flat pricing versus competitors charging a percentage of ad spend or per-conversion fees.
A faster way to run Apple Ads by asking your data questions in plain English and acting immediately.
The AI assistant, anomaly alerts, and in-app editing create a strong workflow story: inspect, ask, adjust, and sync without leaving the app.
Primary user
Indie iOS developer running Apple Search Ads for a subscription app and already using RevenueCat
ICP #1
Solo indie iOS founder with a subscription app doing $1k-$20k MRR
Pain
They can see spend and installs in Apple Ads, but they have no fast way to tell which keywords bring paying users versus junk installs.
Why this solves
ADSwift directly overlays RevenueCat data onto keyword performance, so they can stop optimizing to CPA alone and start killing keywords that generate installs but not revenue.
ICP #2
Mobile growth manager at a small SaaS or consumer subscription app
Pain
They spend too much time bouncing between Apple Ads, spreadsheets, and attribution tools to answer basic questions like which campaigns are profitable by geo or match type.
Why this solves
ADSwift keeps campaign editing, keyword analysis, and revenue attribution in one local app with filters, bulk actions, and AI summaries, reducing the dashboard-swivel tax.
ICP #3
Apple Search Ads consultant or agency operator managing several client accounts
Pain
They need a fast way to switch orgs, analyze keyword-level efficiency, and explain results to clients without paying platform fees that scale with spend.
Why this solves
ADSwift supports multiple Apple Ads accounts, gives plain-English performance summaries, and uses flat pricing, which is attractive when managing larger spend across multiple clients.
Strengths
- +The value prop is unusually specific: keyword-level revenue from RevenueCat, not vague campaign management.
- +The privacy and local-first angle is credible and differentiated for Mac-native users.
- +Pricing is simple and memorable, with a clear anti-percentage-of-spend stance.
Weaknesses
- −The page leads with a strong promise but doesn't show enough hard proof of the revenue attribution workflow or screenshots of the actual UI.
- −The AI assistant positioning is interesting but feels secondary and under-explained relative to the core revenue insight.
- −There is no clear explanation of why a Mac app is better for this job beyond generic native-app benefits.
- −The audience is broad enough to blur: indie devs, consultants, and growth managers all want slightly different outcomes.
- −The competitor comparison is weak; it mentions pricing models but not the products buyers actually know.
Fix these
- Add a hero screenshot that visibly shows Apple Ads metrics and RevenueCat revenue side by side at keyword level.
- Create a sharper comparison section against Search Ads Manager and SplitMetrics Acquire, not just against pricing models.
- Split messaging by persona: indie developer, consultant, and growth manager should each get a tailored use case and CTA.
- Show one concrete example of a keyword analysis: spend, taps, installs, revenue, net per install, and the decision taken.
- De-emphasize generic AI copy and make the workflow promise explicit: 'ask, inspect, edit, sync' with real examples.
Drop-in replacement copy
Headline
Apple Ads, measured by revenue
A native Mac app for subscription apps that care about paying users.
Know which keywords actually pay
Connect RevenueCat once and see revenue, net per install, CPA, and CPT next to your Apple Search Ads keywords. Stop guessing which terms are profitable and cut the ones that only create cheap installs.
Manage campaigns from your Mac
Edit bids, match types, geos, negatives, and bulk uploads in a native app built for fast daily work. You stay in one place instead of bouncing between a browser, a spreadsheet, and another attribution tool.
Ask questions in plain English
Use the AI assistant to find anomalies, spot waste, and get bid or budget suggestions without building filters by hand. It’s built for quick decisions, not for chat theater.
Keep your data local
ADSwift is private by design and built for founders who do not want growth data scattered across another SaaS backend. Your workflow stays fast on your Mac, with less noise and less risk.
FAQ
Do I need RevenueCat to use ADSwift?
No, but RevenueCat is where the product gets sharpest. Without it, you still get Apple Search Ads management; with it, you get keyword-level revenue attribution.
Is this only for indie developers?
No. It’s best for indie iOS founders, consultants, and small growth teams running subscription apps. If you care about revenue more than install volume, it fits.
How is this different from Search Ads Manager or SplitMetrics?
ADSwift is Mac-native and built around RevenueCat revenue, not just campaign operations. It’s focused on helping you decide what to keep, cut, or scale based on earnings.
Does ADSwift change my Apple Ads account directly?
Yes. You can sync edits, bids, keywords, match types, geos, negatives, and bulk uploads back to Apple Search Ads from the app.
Why a Mac app instead of a web app?
Because Apple Ads work is repetitive and data-heavy, and browser tabs slow it down. A native Mac app makes the workflow faster, cleaner, and easier to keep in one place.
Apple Ads tells you which keywords get taps. RevenueCat tells you which users pay. ADSwift puts both in one Mac app so you can kill keywords that look good on installs and do nothing for revenue.
ADSwift is live. It syncs Apple Search Ads campaigns, keywords, bids, geo targets, negatives, and bulk uploads - then overlays RevenueCat revenue at keyword level. Stop optimizing for cheap installs. Start optimizing for paying users.
Spend Taps Installs Revenue Net per install CPA CPT That’s the view I wanted every time I opened Apple Ads. ADSwift makes it the default, so you can see which keywords print money and which ones are just busy.
Every Apple Ads check meant jumping between Ads, RevenueCat, and a spreadsheet. That swivel tax is why I built ADSwift: native Mac controls, revenue attribution, bulk edits, and AI answers in one place. Less tab switching. Better decisions.
“I don’t care about install volume if those users don’t convert.” That sentence is basically the product. ADSwift exists for subscription apps where revenue beats vanity metrics. If that’s you, this is the faster way to manage Apple Search Ads.
Apple Search Ads tools love taking a cut of your growth. ADSwift is flat-priced, local-first, and built for people who want to keep more of the upside. If you run paid acquisition for an app, that matters.
ADSwift is a native Mac app for Apple Search Ads. Edit campaigns instantly, upload keywords from CSV or plain text, manage negatives, target geos on a map, and check revenue by keyword without leaving your Mac.
I added an AI assistant to ADSwift because nobody wants to manually filter 14 columns at 11pm. Ask: which keywords have installs but no revenue? Which geo is profitable? What should I cut this week? Then act immediately.
Ad data + revenue data is sensitive. So ADSwift keeps things local on your Mac instead of turning your growth data into another SaaS database. Fast enough for daily use. Private enough for solo founders.
The old way: optimize Apple Ads for installs. The better way: optimize for revenue per keyword. That’s the whole bet behind ADSwift, and it’s why indie iOS founders keep asking for it.
Angle: revenue over installs
Most Apple Search Ads workflows are still stuck in install-land. You can see spend. You can see taps. You can even see CPA. But if you run a subscription app, none of that answers the real question: which keywords bring paying users? That gap is why I built ADSwift. It’s a native Mac app that connects Apple Search Ads to RevenueCat, so you can view keyword performance through revenue, net per install, and profit signals instead of just acquisition volume. What changed in the workflow: - Campaign edits happen in the app, not a browser - RevenueCat is layered directly onto keyword performance - Bulk uploads, geo targeting, and negative lists are all handled locally - The menu bar shows revenue for the day at a glance The goal is simple: stop optimizing for cheap installs that never pay back. If you’re running paid acquisition for a subscription app, I’d love feedback on the revenue reporting view most. That’s the core of the product.
Angle: native Mac vs browser dashboards
There’s a reason I made ADSwift native Mac instead of another web dashboard. Apple Ads management is repetitive, data-heavy, and usually done by one person who is also juggling product, support, and growth. In that kind of workflow, browser tabs become the bottleneck. Apple Ads in one tab. RevenueCat in another. A spreadsheet in a third. Then back again to make a decision you should have made 20 minutes ago. ADSwift is built to remove that swivel tax. It syncs campaigns, ad groups, keywords, bids, match types, geos, negatives, and bulk uploads from one local app. Then it overlays RevenueCat data so the question is not “what did this keyword cost?” but “what did this keyword earn?” I think that’s a much better mental model for indie apps and small subscription teams. If you manage Apple Search Ads yourself, I’m curious: what’s the most annoying part of your current workflow?
Angle: for indie founders and consultants
I kept seeing the same pattern in small app teams: The founder or growth lead knows Apple Search Ads is working. They just don’t know which parts are actually creating revenue. That’s a bad place to be because it leads to either: - cutting campaigns that were quietly profitable - scaling keywords that bring installs but no buyers - wasting hours bouncing between ads, attribution, and spreadsheets ADSwift was built for that exact gap. It gives indie iOS founders, consultants, and small growth teams one place to manage Apple Search Ads while seeing RevenueCat revenue at keyword level. The product is opinionated: - revenue beats installs - local-first beats bloated dashboards - native Mac beats browser clutter - plain-English questions beat endless filters I’m shipping it to learn where the real pain is strongest: solo founders, consultants, or growth managers. If you’re in one of those buckets, I’d love to hear what you’d need to trust a tool like this with your actual budget.
No visuals for this kit yet.
Tagline
Apple Search Ads, with revenue attached
Description
A native Mac app for managing Apple Search Ads and seeing RevenueCat revenue at keyword level. Edit campaigns, upload keywords, target geos, and cut spend that doesn’t pay back.
Maker's first comment
I built ADSwift because I was tired of looking at Apple Search Ads like it was a volume problem. For subscription apps, installs are only half the story. The real question is which keywords bring users who actually pay, renew, and make the campaign worth keeping alive. I kept jumping between Apple Ads, RevenueCat, and spreadsheets just to answer basic questions, and the workflow felt absurdly slow. ADSwift started as a tool for that problem: a native Mac app where I could manage campaigns, view keyword-level revenue, and make decisions without tab chaos. Over time it grew into a full workflow for bulk edits, negatives, geo targeting, anomaly alerts, and plain-English analysis. If you run Apple Search Ads for an app with subscriptions, I built this for you. I’d really appreciate feedback on the revenue reporting view and whether the Mac-first workflow feels better than browser tools.
Pinned maker comment
I’d love feedback on two things in particular: the keyword-level revenue view and the Mac workflow. If you run Apple Search Ads for a subscription app, tell me what would make this trusted enough to use on real spend.
Meta
Targeting indie iOS founders on RevenueCat.
Hypothesis: indie subscription app founders want to optimize Apple Search Ads by revenue, not installs. ADSwift connects RevenueCat to keyword performance in a native Mac app, so you can cut spend on keywords that never pay back.
Google Search
Apple Search Ads for subscription apps
Hypothesis: searchers comparing Apple Ads tools want a local-first Mac app that shows revenue per keyword. ADSwift manages campaigns, negatives, geo targeting, and bulk edits while overlaying RevenueCat revenue.
Reddit Promoted
Still optimizing Apple Ads for installs?
Hypothesis: indie iOS founders in Apple Ads communities are frustrated by install-only dashboards. ADSwift ties Apple Search Ads keywords to RevenueCat revenue in a native Mac app, so you can find profitable keywords faster.
Subreddits
r/indiehackers
Tell the story of building a local-first Apple Search Ads tool because install metrics were not enough for subscription apps
Rules: Share a real build story, numbers, and lessons. Avoid pure promo; frame it as what you learned and ask for feedback.
r/SideProject
Show the Mac app UI and explain the workflow from Apple Ads to RevenueCat revenue attribution
Rules: Projects must be your own, include a demo or screenshots, and be honest about what is unfinished.
r/microsaas
Discuss flat pricing versus spend-based tools for Apple Search Ads management
Rules: Keep it focused on the business and product mechanics. No spammy launch dump; explain the niche and pricing rationale.
r/EntrepreneurRideAlong
Document the launch process and early customer conversations around subscription app ad attribution
Rules: Best as a transparent progress update. Show work, share traction, and avoid sounding like an ad.
r/iOSProgramming
Share the technical challenge of building a native Mac app that syncs Apple Search Ads with RevenueCat data
Rules: Keep it developer-focused, not sales-focused. Discuss architecture, API integration, or macOS UX choices.
Communities
Post a build log, then follow up with concrete numbers after users start using it. Reply to every comment with specifics, not slogans.
Participate in attribution and growth threads first. Share how keyword-level revenue changes ad decisions for subscription apps, then mention the tool only when relevant.
Apple Search Ads Facebook Group
Answer questions about keyword structure, negatives, and geo performance. When people ask about tooling, show the workflow and offer a trial.
Cold outreach template
Hey {firstName} - saw your {context} and thought of you because ADSwift ties Apple Search Ads keywords to RevenueCat revenue in one Mac app. If you’re still judging campaigns by installs, it may help you spot which keywords actually pay back. Want me to send a quick screenshot?
Product Hunt timing
Launch on Tuesday at 12:01 AM Pacific Time. Apple Search Ads and indie SaaS buyers are active on weekdays, and Tuesday gives you a full workday of U.S. and Europe traffic without getting buried by Monday catch-up or weekend quiet.
Indie Hackers post ideas
- 01I built a Mac app to stop optimizing Apple Ads for installs
- 02What I learned connecting Apple Search Ads to RevenueCat
- 03Why I chose flat pricing for an Apple Ads tool
Competitor alternatives
Current tone of voice
Confident, indie-founder-friendly, and slightly rebellious against SaaS bloat; for example, "Private by design - your data never leaves your Mac" and "No tax on your growth."
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