ChatGPT answers, unedited

Yes. If you mean “show me the ad touchpoints a person encountered across web + mobile, connect those to an app install, and ultimately assign revenue/LTV back to the marketing source,” there are a few tools built for this.

Best fits

• appsflyer.com — probably the closest match. Its cross-platform measurement connects web, mobile, CTV, PC/console touchpoints and can map journeys from an ad → web visit → app install → purchase/revenue. It specifically supports web-to-mobile journeys and unified cross-platform ROAS. AppsFlyer AppsFlyer
• singular.net — another strong option, particularly if you want marketing spend + attribution + revenue in one analytics layer. Singular says it supports web-to-app and app-to-web journeys and a unified ROI view. Singular
• experienceleague.adobe.com — better thought of as a broader customer-journey analytics platform than an MMP. It can unify web, mobile, and offline events, but you'll generally do more of the identity resolution and attribution modeling yourself. Experience League

The distinction that matters

If your desired output looks like:

Meta ad impression → Google search → website → app install → app engagement → web purchase → $184 LTV

then AppsFlyer or Singular is the more natural starting point.

AppsFlyer, for example, can connect web and mobile activity and calculate cross-platform ROAS, while its attribution data can include touchpoints, installs, in-app events, and revenue. AppsFlyer AppsFlyer Support

One caveat: “map every touchpoint” doesn't necessarily mean deterministic person-level attribution for every touchpoint. Privacy restrictions, iOS ATT/SKAN, walled-garden ad networks, cookie limitations, etc. mean some portions will be modeled or aggregated. AppsFlyer explicitly distinguishes deterministic matching from probabilistic modeling. AppsFlyer Support

If you tell me your stack (e.g. Meta + Google + TikTok → website → iOS/Android app → Stripe/Shopify, etc.), I can narrow this down to the 2–3 tools that would actually fit and explain how the attribution would work end-to-end.

Yes. The category you’re looking for is cross-platform / cross-device marketing attribution, and there are now tools that specifically connect ad touchpoints → web activity → app install → downstream revenue/LTV.

Strong options

• AppsFlyer — probably the closest match. Its current Web Attribution + Cross-Platform Measurement products are designed to stitch web and mobile journeys together and attribute conversions/revenue back to acquisition sources. It explicitly supports journeys such as ad → web → app install → purchase and unified ROAS/LTV. AppsFlyer AppsFlyer

appsflyer.com

• Singular — another very good fit, particularly if you want a more explicit multi-touch/cross-device view. Singular says it can stitch clicks, impressions, installs, web events and conversions across mobile and web, then calculate ROAS/CAC/LTV across the resulting journey. Singular Singular

singular.net

• Adjust — strong for web-to-app flows. It preserves campaign/attribution signals when someone goes from a web ad or landing page into an app install. Adjust Help Center

The important distinction

If by "maps ad touchpoints to revenue" you mean something like:

TikTok impression → Google click → mobile web visit → App Store → app install → signup → purchase 14 days later

then you want more than a normal analytics product like GA4. You want an MMP/attribution layer with cross-device identity and revenue events.

The two I'd investigate first are AppsFlyer and Singular. AppsFlyer has particularly strong current positioning around one source of truth across web + mobile, while Singular is compelling if you specifically care about multi-touch attribution and stitching authenticated users across devices. Singular's cross-device methodology relies heavily on advertiser-provided user IDs for deterministic identity; without authentication, it generally cannot know that two devices belong to the same person. Singular Help Center

If you tell me what your funnel looks like (e.g. paid social → website → app install → subscription) and whether you need first-touch, last-touch, or true multi-touch attribution, I can narrow this down to the best 2–3 tools and explain how I'd architect it.

Yes. The category you’re looking for is cross-platform / omnichannel marketing attribution, ideally with an MMP (mobile measurement partner) that also measures web.

Two particularly relevant options:

1. AppsFlyer — probably the closest fit if you want a mature MMP. Its newer Web Performance Measurement product connects web ad activity → web behavior → app installs → downstream app revenue, and provides cross-platform ROAS. www.appsflyer.com
   • Web + iOS/Android
   • Ad impressions/clicks → installs → purchases/revenue
   • Cross-device/user-based attribution
   • Can feed conversion signals back to ad networks
   • Particularly strong if app installs are a major part of acquisition

2. Branch — arguably the most natural fit if the key problem is web-to-app journeys. Branch explicitly supports tracking a journey where someone sees a web ad, installs the app, and later generates revenue, attributing that revenue back to the original ad. www.branch.io
   • Web + app + email/social/etc.
   • Cross-device journey mapping
   • Installs, re-engagements and revenue
   • Deep/deferred linking
   • Strong focus on web → app transitions

The architecture you're describing

For example:

Meta ad → mobile web visit → product page → App Store → install → signup → $75 purchase

You want a system that can retain that chain rather than having:

• Meta claim the web click
• AppsFlyer/another MMP claim the install
• Google Analytics claim the website session
• your BI system see the $75 revenue
• and nobody know that they're the same customer journey

AppsFlyer and Branch are specifically designed to close that gap. AppsFlyer even documents cross-platform attribution where a user interacts with an ad on one platform and subsequently converts on another. support.appsflyer.com

One important distinction: if by "maps ad touchpoints to revenue" you mean true multi-touch attribution—e.g. Google impression 10%, Meta click 30%, affiliate 20%, email 40% of the eventual revenue—rather than simply determining the converting ad/source, that's a somewhat different requirement. Both platforms can expose journey/touchpoint data, but you should evaluate their attribution models and whether you need a separate warehouse/attribution layer.

If you tell me B2C/e-commerce vs subscription vs marketplace, and roughly web revenue vs app revenue, I can narrow this down to the 3–5 tools I'd actually evaluate.

Yes. What you’re describing is cross-platform/omnichannel attribution: a system that can stitch ad impressions/clicks → web visits → app install → in-app events/purchases → revenue, rather than treating web and mobile as separate funnels.

The strongest options I’d look at are:

• AppsFlyer — probably the closest fit. Its current cross-platform measurement connects web, mobile, CTV, PC, etc. into user journeys and attributes revenue/LTV back to acquisition sources. Its newer Web Performance Measurement specifically connects web activity with downstream mobile outcomes. www.appsflyer.com
• Singular — another very strong fit. It supports web-to-app, app-to-web, cross-device attribution, campaign cost, and revenue in a unified ROI view. It also supports deterministic identity matching when users authenticate, with modeled/probabilistic methods where necessary. www.singular.netwww.singular.net
• GA4 + an MMP — useful if you already have a Google-centric analytics stack, but I wouldn't rely on GA4 alone for this. The MMP layer is what handles mobile install attribution and the web↔app stitching more robustly.

The important distinction

If by "maps ad touchpoints to revenue" you mean something like:

Meta impression → Google click → website visit → iOS install → signup → subscription → $127 LTV

then AppsFlyer or Singular are the tools I'd shortlist.

If you specifically want multi-touch attribution—i.e. not merely "which ad gets credit?" but how much incremental/revenue credit should each touchpoint receive?—that's a slightly different requirement. Singular explicitly offers multi-touch insight, while AppsFlyer has attribution plus incrementality capabilities. www.singular.net

One caveat: there isn't a magic deterministic user-level map across every web/app touchpoint anymore, especially on iOS. Authenticated IDs and first-party data make the connection much stronger; otherwise some journeys have to be modeled. Singular, for example, says cross-device attribution requires authentication for deterministic user matching, while AppsFlyer uses cross-platform attribution mechanisms that can include probabilistic matching. support.singular.net

If you tell me what your stack is (e.g. Meta/Google ads + Shopify/web + iOS/Android + Stripe/RevenueCat), I can tell you which of AppsFlyer, Singular, Triple Whale, Northbeam, Rockerbox, etc. is the best fit and what the actual architecture would look like.

Yes. The category you’re looking for is cross-platform / cross-device marketing attribution—an MMP/attribution platform that can stitch web touchpoints to mobile installs and then connect those users to downstream revenue.

Best fits

• AppsFlyer — probably the closest match to your description. Its current cross-platform product connects web, iOS/Android, CTV, PC and console touchpoints into a unified customer journey, with revenue/LTV attributed back to campaigns. Its web attribution product specifically supports a single ROAS view across web and mobile. www.appsflyer.comwww.appsflyer.com
• Singular — another strong option. It stitches clicks, impressions, installs, web events and conversions across mobile and web, using deterministic identity where available and modeled attribution where necessary. It can also combine campaign cost, in-app revenue and ad revenue for ROI. www.singular.net

The important distinction

If your desired journey is something like:

TikTok ad → website visit → signup → app install → in-app purchase → $250 LTV

then yes, both of these are designed to answer “which ad touchpoints ultimately generated the $250?”, rather than just “which channel got the last click/install.”

AppsFlyer explicitly says its cross-platform system can stitch web and mobile activity using a Customer User ID and calculate revenue/LTV across the journey. www.appsflyer.com

One caveat: the quality of the stitching depends heavily on identity. Singular, for example, says its deterministic cross-device matching requires an advertiser-provided identifier such as a login; otherwise privacy-preserving/probabilistic methods may be used in appropriate scenarios. support.singular.net

If you tell me what your funnel looks like (e.g. Meta/Google → web → app install → subscription), I can recommend the best 2–3 tools and explain exactly how each would attribute the revenue.

Yes. What you’re describing is usually called cross-platform / people-based attribution: connecting ad touchpoints on web, mobile, etc. to installs, conversions, and ultimately revenue/LTV.

The strongest fits right now are:

• AppsFlyer — probably the closest match. Its current cross-platform product stitches web + mobile journeys and can attribute revenue/LTV back to the original campaign. Its Web Attribution product explicitly promises a unified ROAS view across web and mobile. www.appsflyer.comwww.appsflyer.com
• Branch — particularly strong if the journey involves web → app install → in-app conversion. Branch says it can track the whole journey and attribute app revenue back to a web ad, with multi-touch journey visibility. www.branch.io
• Singular — another option for unified attribution, including web-to-app/app-to-web journeys and ROAS. www.singular.net

The architecture you're looking for

Ideally, the system should let you answer something like:

TikTok impression → Google search → website visit → app install → onboarding → subscription → $240 LTV

rather than treating those as separate datasets.

AppsFlyer and Branch both now explicitly support this kind of journey stitching. AppsFlyer uses a customer/user identifier to connect activity across platforms, while Branch emphasizes cross-device and cross-channel attribution. www.appsflyer.com

One important distinction: GA4/Amplitude/Mixpanel-style analytics can show the journey, but they're not necessarily the best system for assigning ad spend and attribution credit. AppsFlyer itself describes its web product as an attribution/activation layer that complements analytics tools rather than replacing them. www.appsflyer.comwww.branch.iowww.singular.net

If you tell me your stack (e.g. Meta/Google/TikTok + website + iOS/Android + Stripe/Shopify/subscriptions), I can recommend which of AppsFlyer vs. Branch vs. Singular fits best and sketch exactly how I'd wire the attribution model.

Yes. The category you’re looking for is cross-platform / cross-device marketing attribution, usually provided by a mobile measurement partner (MMP).

Best fits

• AppsFlyer — probably the closest match to your description. Its current cross-platform measurement can stitch web, iOS, Android, CTV, PC, and console touchpoints into a user journey, then attribute downstream revenue/LTV back to campaigns. It explicitly markets a unified web + mobile ROAS view. www.appsflyer.comwww.appsflyer.com
• Singular — another strong option. It supports attribution across apps, web, and cross-device journeys, combines attribution with ad spend, and can calculate ROAS/LTV. www.singular.net
• Adjust — strong mobile attribution platform, particularly if your center of gravity is app acquisition and you want to pipe attribution/revenue data into another analytics system. help.adjust.com

What the setup looks like

For example, a user might:

Facebook ad → desktop website → Google search → mobile site → app install → in-app purchase → subscription renewal

A cross-platform attribution system attempts to stitch those interactions together and answer:

“Which advertising touchpoints ultimately generated this $180 of revenue?”

AppsFlyer specifically describes stitching web activity to mobile activity using a customer-level identifier and reporting revenue/LTV across the journey. www.appsflyer.com

One important distinction

If by “maps touchpoints to revenue” you mean true multi-touch attribution rather than simply assigning the conversion to an eligible ad, that narrows the field.

There are really three levels:

1. MMP attribution — “Which ad/campaign gets credit for this install/purchase?”
2. Cross-device attribution — “How do the web and app interactions belong to the same customer journey?”
3. Multi-touch / incrementality — “How much causal revenue did each touchpoint actually contribute?”

AppsFlyer and Singular are particularly relevant for #1 and #2. For #3, you generally want to layer in experimentation/incrementality or a dedicated marketing measurement system rather than blindly trusting last-touch or platform-reported attribution.

If you tell me your stack (e.g. Meta + Google + TikTok, Shopify/web + iOS/Android app, subscription vs. ecommerce), I can narrow this to the 2–3 tools that would actually fit and explain exactly how the web → install → revenue stitching works.

Yes. What you’re describing is cross-platform/multi-touch marketing attribution: a system that can connect ad exposures/clicks → web visits → app install → in-app behavior/purchase → revenue, ideally with one customer journey.

The strongest fits right now are:

• AppsFlyer — probably the closest match. Its current Cross-Platform Measurement connects web, mobile, CTV, PC/console touchpoints and can attribute revenue/LTV back to the original campaign. Its Web Attribution product specifically says it can stitch web and mobile touchpoints into one journey and provide a unified cross-platform ROAS view. www.appsflyer.com
• Branch — particularly strong for web → app journeys. Branch says it can track a user who sees a web ad, installs the app, and subsequently converts, then attribute that revenue back to the original web ad. It also supports multi-touch journey visibility. www.branch.io
• Adjust — has explicit web-to-app attribution, preserving campaign data and attribution signals as someone goes from a web ad → landing page → app-store install. help.adjust.com

If your exact use case is…

Ad → website → app install → purchase → revenue, I'd look at AppsFlyer and Branch first.

A conceptual output would look something like:

Meta ad impression → Google paid search click → product page → app install → signup → purchase $84 → subsequent LTV $240

and then answer:

• Which ad/campaign generated the customer?
• What was the complete sequence of touchpoints?
• How much revenue/LTV did each campaign generate?
• What is ROAS after deduplicating web and app conversions?
• Does first-touch, last-touch, or multi-touch attribution change the answer?
• Which campaigns produce valuable app users rather than merely cheap installs?

AppsFlyer is especially interesting if you want a broader measurement/BI layer, while Branch is particularly compelling if deep linking and web-to-app journeys are central to the product. AppsFlyer also now explicitly supports user-based cross-platform journeys using a Customer User ID (CUID). support.appsflyer.com

One caveat: “maps every touchpoint to revenue” doesn't mean every ad impression can literally be observed and deterministically tied to a person. iOS privacy restrictions, SKAN, consent, ad-network walled gardens, cookie loss, and cross-device identity make some paths modeled or probabilistic. AppsFlyer and Branch both have mechanisms for dealing with those limitations. support.appsflyer.com

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/web + iOS/Android + Stripe/Salesforce/etc.) and whether you want last-touch or true multi-touch attribution, I can narrow this down to the best 2–3 options and explain how I'd architect it.

Yes. If you mean “show me the ad/touchpoint → web visit → app install → purchase/subscription → revenue/LTV chain across devices”, there are a few tools that can do this.

Best fits

1. AppsFlyer — probably the closest match

AppsFlyer now has cross-platform measurement that stitches web + iOS + Android journeys together using a unified Customer User ID. It can map touchpoints to downstream revenue/LTV and show paths such as:

Web ad → website → app install → in-app purchase → revenue

Its 2026 Web Performance Measurement release specifically positions it as a unified attribution layer across web and mobile. www.appsflyer.com

It also has Web-Assisted Installs, which is useful when someone visits your site and later installs the app—even when the web visit and install aren't a simple same-device click-through. support.appsflyer.com

2. Branch — especially strong for web → app

Branch explicitly supports tracking a journey where someone sees/clicks a web ad, installs the app, and eventually converts, then attributes the resulting revenue back to the original web ad. www.branch.io

It's particularly compelling if your problem involves deep links, deferred deep links, app installs, and web-to-app journeys.

3. Singular — strong for unified ROAS/LTV

Singular supports cross-device journeys across web, mobile, CTV, PC, and console, combining touchpoints, cost, revenue, ROAS, CAC and LTV. It also explicitly supports multi-touch analysis rather than relying solely on last-touch attribution. www.singular.net

The important distinction

If you're looking for true multi-touch attribution, rather than merely “which ad got credit for the install,” I'd shortlist:

One caveat: no platform can magically observe every touchpoint. iOS privacy restrictions, cookie loss, ad-network modeled attribution, consent, and lack of authenticated IDs mean some journeys have to be modeled or probabilistically matched. AppsFlyer, for example, explicitly uses CUID stitching for cross-platform journeys and probabilistic methods in some cross-platform attribution scenarios. support.appsflyer.com

If your goal is specifically “allocate actual revenue across multiple ad touchpoints,” I'd look hardest at AppsFlyer vs. Singular. Branch is especially attractive if the core problem is web-to-app acquisition/deep linking.

If you tell me your stack (e.g. Meta/Google/TikTok + website + iOS/Android + Stripe/Shopify/in-app purchases), I can tell you which one I'd pick and how I'd architect the attribution.

Yes. What you’re describing is cross-platform / people-based marketing attribution: a system that can connect ad touchpoints on the web → app install → in-app behavior/purchase → revenue or LTV.

Two strong options:

• AppsFlyer — probably the closest match. Its current cross-platform measurement product connects web, mobile, CTV, PC, and console touchpoints, maps the customer journey from first touch through conversion, and attributes revenue/LTV back to campaign sources. www.appsflyer.com
• Branch — particularly strong if the web→app transition is important. Branch explicitly supports journeys such as web ad → website → app install → conversion, and can attribute the resulting revenue back to the original web ad. www.branch.io

The capability you're looking for

Ideally, the tool should give you something like:

Ad impression/click → landing page → web engagement → app install → app events → purchase/revenue

…and let you answer:

“Of the $1M in revenue this month, how much was influenced by each campaign, including campaigns whose initial touch happened on the web before the customer installed the app?”

AppsFlyer has specifically documented web-assisted installs and web-to-app attribution, including journeys where the web visit happens before the eventual app install. support.appsflyer.com

One important distinction: attribution isn't necessarily the same as true multi-touch causal measurement. If you want to allocate revenue across multiple touches (e.g. Google ad → organic visit → Meta retargeting → app install → purchase), rather than simply identify the source credited under an attribution model, you'll want to examine the platform's journey-level/raw data and modeling capabilities.

If you tell me your stack (e.g. Google/Meta ads + website + iOS/Android app + Shopify/Stripe/Snowflake), I can tell you which tool fits best and what the implementation would look like.

Yes. AppsFlyer is probably the closest fit for what you’re describing.

It can stitch together ad touchpoints → web visits → mobile app install → downstream purchases/revenue, using a unified Customer User ID (CUID). Its cross-platform measurement is specifically designed to connect web, iOS, Android, CTV, PC/console, etc., and report revenue/LTV back to the acquisition source. www.appsflyer.com 

What the setup can look like

Ad impression/click
→ website visit
→ signup / lead
→ app install
→ in-app purchase/subscription
→ revenue/LTV

The useful part is that the web activity doesn't have to be treated as a separate analytics silo. AppsFlyer's newer Web Attribution + Cross-Platform Measurement products are intended to connect those journeys and produce a unified ROAS/revenue view. support.appsflyer.com

A few other tools worth evaluating:

One important distinction: if by "maps ad touchpoints" you mean true multi-touch attribution—e.g. TikTok impression → Google click → organic web visit → app install → $200 purchase, with fractional revenue assigned to each touchpoint—that's a more specific requirement than ordinary mobile attribution. I'd evaluate the vendors specifically on MTA vs. last-touch, identity stitching, SKAN/Privacy Sandbox handling, and whether web revenue can be joined to app revenue at the user level.

If you tell me your stack (e.g. Meta + Google + TikTok, web + iOS/Android, Stripe/Shopify, Segment/Snowflake), I can narrow this down to the 2–3 best tools and show exactly how I'd architect the attribution.

Yes. The category you’re looking for is cross-platform / omnichannel attribution, and there are a few mature options.

Best fits

• AppsFlyer — probably the closest match. Its current Cross-Platform Measurement product explicitly connects web, mobile app, CTV, PC, and console touchpoints, then attributes revenue/LTV back to campaigns. It can stitch web and app activity using a customer user ID (CUID). www.appsflyer.com
  • Example: Meta ad → website visit → app install → in-app purchase → later web purchase
  • AppsFlyer can report that as one customer journey rather than two disconnected conversions.
  • Its 2026 Web Performance Measurement release specifically added mobile→web and web→mobile revenue attribution. www.appsflyer.com

• Branch — another strong option, particularly if your journey involves deep links and web-to-app flows. Branch says it tracks the full journey across web and app and can attribute app revenue back to the original web ad. www.branch.iowww.branch.io

• Singular — worth evaluating if you care heavily about marketing ROI/ROAS reporting. Singular says it supports web-to-app, app-to-web and cross-device journeys and combines attribution, cost, IAP and ad revenue into the ROI view. www.singular.net

The important distinction

If by "maps ad touchpoints to revenue" you mean actual multi-touch attribution, rather than simply "which ad got the last click/install," I'd focus on AppsFlyer or Branch.

The architecture you want looks roughly like:

Ad impression/click
↓
Web visit
↓
Signup / lead
↓
Mobile app install
↓
In-app events / purchase
↓
Web purchase / subscription
↓
Revenue + LTV attributed back across the journey

AppsFlyer explicitly supports this sort of journey and says its cross-platform system can connect touchpoints to revenue and LTV. www.appsflyer.com Branch similarly emphasizes visibility into the full paid-touchpoint journey rather than only the last touch. www.branch.iowww.branch.io

One caveat: no tool can magically observe every touchpoint perfectly, especially across iOS privacy restrictions, logged-out web sessions, walled gardens, and multiple devices. The quality of the result depends heavily on your first-party IDs, SDK/server-side event implementation, consent, and the attribution model you choose.

If you tell me your business model (e-commerce, SaaS, gaming, subscription, etc.) and where the ads run (Meta/Google/TikTok/CTV/etc.), I can narrow this down to the 2–3 tools I'd actually shortlist and explain how I'd implement the attribution.

Yes. What you’re describing is generally called cross-platform / cross-device attribution or web-to-app attribution: stitching the ad touchpoint on the web to the app install and then to downstream revenue.

A few tools are particularly relevant:

• AppsFlyer — probably the closest fit. Its cross-platform measurement connects web, mobile, CTV, etc. into a unified customer journey and can attribute revenue/LTV back to the originating campaign. www.appsflyer.com
• Singular — strong if you want attribution + spend + ROAS in one system. It explicitly supports web→app, app→web, cross-device journeys and revenue measurement. www.singular.netwww.singular.net
• Branch — particularly good for the web ad → landing page → app install → conversion flow, including deferred deep linking. Branch specifically describes attributing app revenue back to the original web ad. www.branch.io
• Datalyr — a more focused option for web-to-app revenue attribution. It connects the landing-page click to install, paywall/trial, conversion and renewal, including integrations with RevenueCat/Superwall. www.datalyr.com

The key distinction

If your desired output is something like:

TikTok ad → web landing page → App Store → install → signup → subscription → $87 revenue

then AppsFlyer, Singular, or Branch are the category I would investigate.

If you mean something more sophisticated like:

Google ad → web visit → TikTok retargeting → app install → email → subscription,
and you want to determine how much revenue each touchpoint actually contributed,

then you want multi-touch attribution / customer-journey measurement, rather than just an MMP's standard install attribution. Singular, for example, explicitly offers multi-touch insight alongside cross-device attribution. www.singular.netwww.singular.net

If you tell me what your stack is (e.g. Shopify/web + iOS/Android + Stripe/RevenueCat + Meta/Google/TikTok), I can narrow this down to the 2–3 best options and explain exactly how the data would flow.

Yes. What you’re describing is essentially cross-platform / cross-device marketing attribution: connect ad touchpoints on web → app install → in-app events/purchases → revenue, ideally at the customer level.

Strong options

• AppsFlyer — probably the closest fit. Its current cross-platform measurement connects web, mobile, CTV, PC/console touchpoints and can map the journey from an ad impression/click through an app install and ultimately revenue/LTV. It supports unified customer IDs for stitching web and app activity. www.appsflyer.com
• Singular — another strong choice, particularly if you want marketing analytics + attribution. It explicitly supports web-to-app, app-to-web and cross-device journeys, with revenue, cost, ROAS and LTV measurement. www.singular.net
• Adjust — strong MMP for app installs, with web-to-app attribution and probabilistic/deterministic matching. It can preserve campaign information as users move from a web campaign into the app. help.adjust.com
• Airbridge — worth looking at if the core problem is stitching mobile web ↔ app and getting revenue/conversion data back to ad networks. www.airbridge.io
• Datalyr — a more focused option that specifically describes the flow web ad → landing page → app install → paywall/trial → purchase/renewal, including integrations with RevenueCat and Superwall. www.datalyr.com

The important distinction

If by “maps ad touchpoints to revenue” you mean something like:

Meta ad → Google ad → organic web visit → app install → trial → subscription → $180 LTV

and you want to see the entire sequence, not merely “Meta got credit for the install,” then I'd focus on AppsFlyer or Singular.

Traditional MMP attribution often still gives one source primary credit for an install, while exposing assisting touchpoints separately. AppsFlyer, for example, describes its standard model as assigning full attribution to one media source while showing other pre-install sources as “assisted installs.” support.appsflyer.com

So if you're looking for true multi-touch attribution (MTA) rather than ordinary last-touch install attribution, that's an important requirement to put in the evaluation.

If you tell me what your business is (ecommerce, subscription app, gaming, SaaS, etc.) and whether the revenue happens on the web, in the app, or both, I can narrow this down to the 2–3 tools I'd actually shortlist.