ChatGPT answers, unedited

Yes. What you’re describing is generally called cross-platform marketing attribution or people-based attribution: a system that connects ad impressions/clicks → web visits → app installs → purchases/subscriptions → revenue, ideally at the user/customer level.

A few tools are particularly relevant:

• AppsFlyer — probably the closest match. Its current Web Performance Measurement product explicitly connects web and mobile journeys, including touchpoints, conversions, revenue, and LTV, into a cross-platform ROAS view. AppsFlyer AppsFlyer It can also produce user-level cross-platform conversion paths showing the assisting touchpoints rather than only the last touch. AppsFlyer Support
• Singular — also supports web attribution alongside iOS/Android attribution and can connect mobile attribution to web touchpoints. It additionally has ad-revenue attribution, so app advertising revenue can be incorporated into campaign ROI/LTV. Singular Help Center Singular Help Center
• Branch — strong if the journey involves links/deep links between ads, web, and apps. Branch Ad Links support web and app conversions and deferred deep linking. Branch Help Center

The important distinction

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

TikTok impression → Google click → website signup → iOS install → app purchase → $147 LTV

then AppsFlyer and Singular are much closer to what you want than GA4 alone. AppsFlyer, for example, explicitly describes stitching web and mobile touchpoints into one journey and attributing revenue across platforms. AppsFlyer

One caveat: "maps every touchpoint" doesn't necessarily mean deterministic tracking of every impression. Privacy restrictions, iOS measurement limitations, cookie loss, cross-device behavior, and probabilistic modeling can mean that some links in the journey are modeled rather than directly observed. AppsFlyer's cross-platform user-based model, for example, can use a persistent Customer User ID when available. AppsFlyer Support

If you tell me your stack (e.g. Meta/Google/TikTok + website + iOS/Android + Stripe/Shopify/etc.) and what you consider the revenue event, I can map out which of these would actually give you the attribution graph you're looking for.

Yes. The category you’re looking for is usually called cross-platform marketing attribution, full-funnel attribution, or unified web + app attribution. These tools try to connect:

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

rather than treating web and mobile app acquisition as separate funnels.

Some common options:

A typical stack looks like:

Meta Ads / Google Ads / TikTok Ads / affiliates
                  |
                  v
        Attribution platform (MMP)
                  |
        +---------+---------+
        |                   |
     Website              Mobile app
        |                   |
  signup/purchase     install + events
        |                   |
        +---------+---------+
                  |
              Revenue + LTV

A few things to check before choosing:

• Do you need person-level journeys or just channel ROAS?

Some tools show aggregate campaign performance; others stitch user journeys.

• Do you have subscriptions?

Make sure it can ingest renewals, refunds, and LTV—not just first purchase.

• iOS privacy constraints:

Apple’s ATT and SKAdNetwork limits mean “perfect” user-level attribution is often not possible on iOS; good platforms combine deterministic signals, modeled attribution, and privacy-safe measurement.

• Where does the first touch happen?

If users see a web ad, visit a landing page, then install an app later, you specifically want web-to-app attribution/deferred deep linking support. Branch

If you describe your business model (e.g., subscription app, ecommerce app, marketplace, SaaS with mobile app) and ad channels (Meta, Google, TikTok, etc.), I can narrow this to the 2–3 tools that usually fit.

Some common options:

A typical stack looks like:

Meta Ads / Google Ads / TikTok Ads / affiliates
                  |
                  v
        Attribution platform (MMP)
                  |
        +---------+---------+
        |                   |
     Website              Mobile app
        |                   |
  signup/purchase     install + events
        |                   |
        +---------+---------+
                  |
              Revenue + LTV

A few things to check before choosing:

Yes. The category you’re looking for is cross-platform / web-to-app attribution: a system that stitches ad interactions on the web to app installs and then connects downstream purchases or LTV back to those touchpoints.

Strong options

• AppsFlyer — probably the closest fit. Its current Web Attribution + Cross-platform Measurement products explicitly connect web and mobile touchpoints, costs, conversions, and revenue into a unified ROAS/LTV view. It can model journeys such as web ad → website → app install → in-app purchase, and attribute revenue back to the acquisition source. AppsFlyer AppsFlyer

appsflyer.com

• Branch — particularly strong if your journey is heavily web → app. Branch says its Universal Ads product maps a web ad → app install → conversion/revenue journey and measures ROAS across platforms. Branch Branch

branch.io

• Adjust — has explicit web-to-app tooling that preserves campaign/source context as someone moves from a web ad through a landing page to an app install. Adjust Help Center

help.adjust.com

If your requirement is specifically...

“Show me every ad touchpoint and tell me how much revenue it ultimately generated, whether the customer converted on web or in the app.”

I'd start with AppsFlyer and Branch. AppsFlyer currently has especially explicit support for unified cross-platform LTV/revenue attribution, including web, mobile, CTV, PC and console. AppsFlyer AppsFlyer Support

One important caveat: this isn't necessarily literal deterministic tracking of every touchpoint. Privacy restrictions mean some journeys require probabilistic/modelled attribution or a first-party customer ID. AppsFlyer, for example, supports CUID-based user journeys, while its web-to-app flows can use other attribution signals when an identifier isn't available. AppsFlyer Support Adjust Help Center

If you tell me your stack (e.g. Meta/Google/TikTok + GA4 + Shopify + iOS/Android), I can recommend the best architecture and explain exactly how I'd wire the touchpoint → install → purchase → revenue chain.

Yes. appsflyer.com is probably the closest fit to what you're describing.

It can connect:

• Web ad touchpoints → website visits/conversions
• Mobile ad touchpoints → app installs/re-engagement
• Web → app journeys → e.g. Google ad → mobile site → app install
• Revenue/LTV → purchases and downstream value
• Cross-device journeys → when the same user can be identified across web and app

AppsFlyer's current cross-platform product explicitly supports mapping the journey from initial ad exposure through web/mobile conversions and attributing revenue back to campaigns. Its newer user-based attribution uses a Customer User ID to stitch activity across platforms. AppsFlyer AppsFlyer AppsFlyer Support AppsFlyer Support

Two I'd shortlist

Singular also supports web-to-app attribution and cross-device reporting, including web conversions, app installs, and revenue. Its cross-device identity generally requires an authenticated/customer ID to establish that activity belongs to the same user. Singular Help Center Singular Help Center Singular Help Center

One important distinction: if by "maps ad touchpoints to revenue" you mean true multi-touch attribution—e.g. TikTok impression → Google click → website signup → app install → $120 purchase, with fractional revenue credit assigned to each touchpoint—that's a more specific requirement than ordinary mobile attribution. AppsFlyer's cross-platform conversion reporting can expose the assisting engagement chain, but I'd evaluate its attribution model carefully rather than assuming it is arbitrary fractional MTA. AppsFlyer Support

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/Stripe + iOS/Android + GA4), I can recommend the best tool and architecture for stitching the whole funnel together.

Yes. AppsFlyer is probably the closest fit to what you're describing.

Its current cross-platform measurement can connect:

• Ad touchpoints across paid media, web, mobile, CTV, etc.
• Web conversions such as signup or purchase
• Mobile app installs and in-app events
• Revenue/LTV back to acquisition sources and campaigns
• The journey across devices, rather than treating web and app as completely separate users. AppsFlyer AppsFlyer

In particular, AppsFlyer's newer user-based cross-platform attribution uses a persistent Customer User ID (CUID). So, for example:

Google ad → website signup → web purchase → Instagram ad → app install → in-app purchase

can be represented as one customer's cross-platform journey rather than two unrelated attribution records. AppsFlyer Support

It also has revenue attribution/ROI functionality that lets you tie revenue back to the originating media source and campaign, rather than optimizing solely for installs or clicks. AppsFlyer Support

appsflyer.com

Other options

Depending on how sophisticated your requirements are, I'd also look at Branch, Adjust, and a warehouse/CDP + BI setup if you need your own multi-touch attribution model rather than a vendor's attribution methodology.

The important distinction is "attribution" vs. "journey analytics." If by "maps touchpoints to revenue" you mean literally seeing every touchpoint and assigning fractional credit to each one (e.g. 20% Google → 30% Meta → 10% email → 40% organic), that's a more specific multi-touch attribution (MTA) problem. AppsFlyer can give you the cross-platform journey and revenue data, but you'd want to check whether its attribution model matches the fractional-credit methodology you have in mind.

If you tell me what your funnel looks like (e.g. ads → web → install → subscription), I can recommend the best 2–3 tools and explain exactly how I'd wire them together.

Yes. If you mean “show me every ad touchpoint across web + mobile, then connect those touches to installs, purchases, and ultimately revenue/LTV”, there are several tools that do this.

Best fits

• appsflyer.com — probably the closest match. Its current cross-platform measurement connects web, mobile, CTV, etc., and can map journeys from an ad → web visit → app install → purchase, with revenue/LTV tied back to campaigns. Its newer Web Attribution product explicitly provides a unified ROAS number across web and mobile. AppsFlyer AppsFlyer
• singular.net — strong alternative if you want multi-touch/cross-device attribution. It can stitch clicks, impressions, installs, web events, and conversions into a user journey and calculate ROAS/CAC/LTV. Singular
• branch.io — particularly good when the web → app handoff/deep linking is important. Branch provides cross-channel attribution and can track interactions through to app engagement and conversion. Branch

The important distinction

If your desired data model is something like:

Google ad impression → Google click → website visit → signup → app install → app purchase → recurring revenue

…and you want to ask “how much revenue should I credit to each touchpoint/campaign?”, I'd shortlist AppsFlyer and Singular first.

AppsFlyer is especially interesting right now because its 2026 product supports user-based cross-platform attribution using a persistent Customer User ID, and its cross-platform conversion report includes the full assisting engagement chain plus revenue context, rather than just the final touch. AppsFlyer Support AppsFlyer Support

The catch is that cross-device identity is the hard part. Deterministic stitching is strongest when you have a logged-in/customer ID; otherwise these platforms have to use platform-specific attribution and, where permitted, modeled/probabilistic methods. Singular explicitly requires an advertiser-provided ID/authentication for its deterministic cross-device stitching. support.singular.net

If you tell me your stack (e.g. Google/Meta ads + website + iOS/Android app + Stripe/Shopify, etc.), I can recommend the best architecture and explain exactly how I'd wire the touchpoints → user identity → revenue → attribution model.

Yes. AppsFlyer is probably the closest fit to what you're describing.

AppsFlyer now has cross-platform attribution that can stitch together web and mobile activity at the user level and connect acquisition touchpoints to downstream revenue/LTV. AppsFlyer AppsFlyer Support

For example, it can model a journey like:

Google ad → website visit → signup → mobile-app install → in-app purchase → repeat web purchase

and report revenue/LTV back against the acquisition source rather than treating the web and app as separate silos. Its newer model uses a Customer User ID (CUID) to stitch activity across platforms. AppsFlyer Support AppsFlyer Support

Other tools worth considering

• AppsFlyer — strongest fit if mobile app acquisition is central and you want web + app + LTV/revenue attribution.
• Adjust — strong mobile attribution; worth evaluating if your primary problem is app acquisition and measurement.
• Branch — particularly good for web-to-app journeys, deep linking, and identity/attribution across devices.
• Google Analytics / GA4 — useful for behavioral analytics and web journeys, but I'd generally pair it with a mobile measurement platform rather than rely on it alone for this use case.

If your actual requirement is "give me one customer-level graph of every ad touch → web visit → app install → purchase, and assign revenue/LTV to the touchpoints", I'd shortlist AppsFlyer, Branch, and an in-house warehouse/BI layer rather than a conventional analytics tool.

AppsFlyer explicitly says its cross-platform product can attribute revenue and LTV across mobile, web, CTV, PC, and console. AppsFlyer

appsflyer.com

If you tell me B2C/e-commerce vs SaaS vs gaming, and whether you need multi-touch attribution or just first/last-touch, I can narrow this to the 2–3 best options and compare them.

Yes. What you’re describing is usually called cross-platform marketing attribution, multi-touch attribution (MTA), or revenue attribution. The goal is to connect the chain:

Ad impression/click → website visit → signup → app install → in-app events → purchase/subscription → lifetime revenue

and then assign credit (or influence) back to the campaigns and touchpoints that contributed. AppsFlyer AppsFlyer

Some tools that do this:

A typical stack looks like:

• Mobile measurement partner (MMP): AppsFlyer / Adjust / Singular for install attribution and app events.
• Product analytics: Amplitude, Mixpanel, Heap, etc. for user behavior.
• Data warehouse + BI: Snowflake/BigQuery + Looker/Tableau for custom revenue models.
• CRM/revenue source: Stripe, Salesforce, subscription billing, or backend events to determine actual revenue.

A few things to check before choosing:

• Can it stitch web → app? Many mobile attribution tools historically focused only on app installs.
• Can it ingest revenue, not just installs? You want LTV, subscription revenue, purchases, renewals—not just CPI.
• Does it support your attribution model? - Last-touch: simple, common for paid acquisition
• First-touch: useful for discovery/brand
• Multi-touch: distributes credit across the journey
• Data-driven: algorithmic weighting
• Can it handle iOS privacy changes (ATT/SKAdNetwork)? This is a major factor for mobile.

If your business is app subscription / mobile SaaS, I’d start by evaluating AppsFlyer, Singular, Adjust, and Branch. If it’s web checkout + app as another channel, a hybrid setup (MMP + revenue warehouse attribution) is often stronger. AppsFlyer Singular

If you tell me your model (e.g., mobile game, subscription app, ecommerce app, SaaS with mobile app, marketplace) and ad channels (Meta, Google, TikTok, Apple Search Ads, etc.), I can narrow down the best fit.

Yes. What you’re describing is cross-platform / cross-device marketing attribution: a system that can connect an ad touchpoint on the web to a later app install and then to downstream revenue.

Two particularly relevant tools are:

• AppsFlyer — probably the closest fit. Its current cross-platform measurement can stitch web, mobile, CTV, PC, etc. into a unified user journey and attribute revenue/LTV back to the originating campaign. It specifically supports journeys such as web ad → app install → purchase. AppsFlyer AppsFlyer

appsflyer.com

• Branch — also a strong fit, particularly if deep linking is important. Branch explicitly supports web → app attribution and can map app revenue back to a web ad. Its Universal Ads product is designed around this exact problem. Branch Branch

branch.io

What the setup can look like

For example:

Meta ad → web landing page → app install → signup → subscription

A good attribution system can preserve the campaign/user context across those steps and produce something like:

AppsFlyer goes further by supporting a Customer User ID (CUID) approach for stitching web and app activity into a user-level journey. AppsFlyer Support

The important distinction is that GA4 or a typical analytics tool isn't necessarily enough if your core question is “Which advertising touchpoints ultimately generated revenue, even when the user crossed from web to app?” Dedicated attribution/MMP platforms are built for that.

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/web + iOS/Android + Stripe/RevenueCat), I can recommend the best architecture and tell you whether AppsFlyer, Branch, or another tool fits best.

Yes. AppsFlyer is probably the closest fit to what you're describing.

Its newer Cross-Platform Measurement + Web Performance Measurement stack is designed to stitch together:

• Ad impressions/clicks on the web
• Website visits and conversions
• Mobile app installs
• In-app purchases/subscriptions
• Web purchases
• Subsequent cross-device/platform activity
• Revenue/LTV back to the acquisition source

AppsFlyer explicitly says it can map a journey such as web ad → website → mobile install → in-app purchase, and calculate revenue/LTV back to the originating campaign. AppsFlyer AppsFlyer Support

appsflyer.com

The other major option: Adjust

Adjust also now has Web Attribution and web-to-app measurement. It can analyze web and mobile-app marketing data together and preserve campaign context as someone goes ad → mobile web → app store → install → app. Adjust Help Center Adjust Help Center

help.adjust.com

Which I'd choose

One important distinction: "maps touchpoints to revenue" can mean two different things. AppsFlyer/Adjust are particularly good at marketing attribution—which campaign/source gets credit for the conversion and resulting LTV. If you mean full multi-touch attribution where, say, Google gets 40%, Meta 30%, an email 20%, and an organic visit 10% of the same $200 revenue event, I'd evaluate the architecture somewhat differently.

If you tell me your stack (e.g. GA4 + Meta/Google + Shopify + iOS/Android app), I can suggest the best tool and show exactly how I'd wire the attribution model together.

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

AppsFlyer now offers cross-platform measurement that can connect web ad touchpoints → web visits/signups → mobile app install → in-app events/purchases → revenue/LTV. It can stitch activity across platforms using a persistent Customer User ID (CUID), allowing revenue to be tied back to the original campaign. AppsFlyer AppsFlyer Support

appsflyer.com

Two strong options

• AppsFlyer — Best if your core problem is mobile app attribution + web-to-app journeys + revenue/LTV. Its 2026 web measurement product specifically supports both mobile acquisition → web conversion and web acquisition → mobile conversion in one attribution path. AppsFlyer
• Branch — Another strong option, particularly if you need deep linking + web-to-app journeys + paid-media attribution. Branch says it can track a user who sees a web ad, installs the app, converts, and attribute that revenue back to the original web ad. Branch Branch

branch.io

What the architecture looks like

Google / Meta / TikTok / other ads
          ↓
      Web landing page
          ↓
     Signup / purchase
          ↓
       App install
          ↓
   In-app purchase / subscription
          ↓
      Lifetime revenue

The important distinction is that you're looking for cross-platform/user-level attribution, not just Google Analytics or an MMP that reports app installs independently from web conversions. AppsFlyer's current cross-platform product explicitly stitches web activity with mobile activity and can attribute revenue/LTV across the journey. AppsFlyer Support

If you tell me your stack (e.g. Shopify + iOS/Android + Meta/Google/TikTok), I can also tell you which of AppsFlyer, Branch, Triple Whale, Northbeam, or a warehouse-based setup is the best fit.

Yes. What you’re describing is usually called cross-platform / unified marketing attribution: a system that can connect an ad touchpoint → web visit → app install → app/web conversion → revenue/LTV.

Two particularly relevant tools are:

• AppsFlyer — probably the closest match right now. Its 2026 cross-platform measurement connects web, mobile, CTV, PC, and console touchpoints and can attribute downstream revenue/LTV back through the customer journey. It also has dedicated Web Performance Measurement for tracking web acquisition through lifetime value. AppsFlyer AppsFlyer Support

appsflyer.com

• Branch — especially strong for web → app journeys. Branch explicitly supports a scenario where someone clicks a web ad, installs the app, and later converts, then ties that revenue back to the original web ad. Its Performance product also exposes the full paid-touchpoint journey and revenue. Branch Branch

branch.io

The distinction I'd make

If your desired data model is something like:

Meta ad → landing page → signup → app install → first purchase → subscription → 12-month revenue

then AppsFlyer and Branch are both worth evaluating.

If you specifically want user-level, multi-touch journey reconstruction and LTV across web + app, I'd start with AppsFlyer. Its current cross-platform product explicitly uses a persistent customer/user ID to stitch activity across devices and platforms, rather than treating web and app as isolated measurement environments. AppsFlyer Support AppsFlyer Support

If you tell me what your stack is (e.g. Meta/Google/TikTok + Shopify/website + iOS/Android + Stripe/RevenueCat), I can tell you which attribution setup would fit best and what it can/can't actually measure.

Yes. What you’re describing is cross-platform, people-based marketing attribution: connecting ad impressions/clicks → web visits → app install → purchases/subscriptions → revenue, rather than treating web and mobile as separate funnels.

Two particularly relevant tools are:

• AppsFlyer — probably the closest fit. Its current cross-platform measurement can stitch web, mobile, and other platforms into a unified customer journey and attribute revenue/LTV back to campaigns. It explicitly supports journeys such as web ad → web purchase → mobile ad → app install → in-app purchase. AppsFlyer AppsFlyer Support

appsflyer.com

• Branch — also a strong fit, particularly if your problem is web → app. Branch says it can connect a web ad to a subsequent app install and then attribute the resulting app revenue back to the original web ad. Its Performance product also provides multi-touch journey visibility. Branch Branch

branch.io

Which I'd look at first

If your requirement is literally:

"Show me every meaningful ad touchpoint across web + mobile, then tell me how much revenue those touchpoints ultimately generated."

I'd start with AppsFlyer. Its newer cross-platform/user-based attribution is specifically designed around stitching activity using a persistent customer ID and calculating revenue/LTV across platforms. AppsFlyer Support AppsFlyer Support

Branch would be my other major contender, especially for an app-centric business where deep linking and web-to-app journeys are important. Branch Branch

One important distinction: attribution ≠ causal incrementality. These platforms can tell you which touchpoints receive attribution credit; if you want to know whether an ad actually caused incremental revenue, you'd generally layer geo experiments, holdouts, or an incrementality platform on top.

If you tell me your setup (e.g. Google/Meta/TikTok + website + iOS/Android app + Shopify/Stripe/etc.), I can narrow this down to the best 2–3 options and explain exactly how I'd architect the tracking.

Yes. What you’re describing is essentially cross-platform marketing attribution: a system that captures ad touchpoints on web and mobile, connects them to installs/conversions, and ultimately ties those users to revenue/LTV.

Strongest fits

• AppsFlyer — probably the closest match. Its current Measurement Suite connects web, mobile, CTV, PC/console, and can map touchpoints to downstream revenue/LTV. Its Web Attribution product specifically says it can stitch web and mobile touchpoints into one journey and produce a unified ROAS view. AppsFlyer AppsFlyer

appsflyer.com

• Singular — another very good option. Singular can preserve attribution when someone goes web → app install, and its cross-device capabilities can break revenue down across web and mobile. Singular Help Center Singular Help Center

support.singular.net

The important distinction

If by "ad touchpoints" you mean something like:

Google ad → website visit → Facebook ad → app install → subscription → $180 LTV

then AppsFlyer is especially close to what you're asking for. It explicitly supports reconstructing journeys across platforms and attributing revenue back to campaigns. AppsFlyer

If you mean true multi-touch attribution—where every touchpoint gets fractional credit rather than one campaign getting the conversion—you'll want to look more carefully at the attribution model. MMPs like AppsFlyer/Singular traditionally excel at install/conversion attribution, while tools such as marketing data warehouses/CDPs can be layered on for custom multi-touch models.

If you tell me your stack (e.g. Google/Meta/TikTok + Shopify/web + iOS/Android app + Stripe/RevenueCat), I can recommend the best architecture and explain exactly how I'd map ad → web → install → purchase → LTV.

Yes. What you’re describing is generally called cross-platform / cross-device marketing attribution or unified attribution.

The strongest fits I’d look at are:

• AppsFlyer — probably the most direct match. Its current cross-platform measurement connects web, mobile, CTV, PC, and console touchpoints, maps journeys back to campaigns, and attributes downstream revenue/LTV. Its Web Attribution product specifically supports a unified web + mobile ROAS view. AppsFlyer AppsFlyer

appsflyer.com

• Branch — particularly strong if the journey is web ad → website → app install → in-app conversion. Branch says it can connect the web ad to the subsequent app revenue and expose the broader multi-touch journey. Branch Branch

branch.io

• Singular — also supports web-to-app, app-to-web and cross-device journeys, with cost + attribution + revenue combined for ROI calculations. Singular

singular.net

The distinction that matters

If you mean something like:

Google ad → mobile web visit → email signup → app install → in-app purchase → later web purchase

and you want to answer "which ad/touchpoints ultimately generated $X of revenue?", I'd start with AppsFlyer or Branch, rather than a conventional analytics tool like GA4.

AppsFlyer now explicitly supports user-based cross-platform journeys using a persistent customer ID, while Branch emphasizes multi-touch journey visibility and deduplicated attribution. AppsFlyer Support Branch

One caveat: "maps every touchpoint" doesn't necessarily mean deterministic person-level attribution for every touchpoint. Privacy restrictions, iOS ATT/SKAN, logged-out web traffic, and cross-device identity can force probabilistic or modeled attribution.

If you tell me your stack (e.g. Meta + Google + TikTok → website + iOS/Android app → Stripe/Shopify/in-app purchases), I can tell you which tool is the best fit and what the architecture would look like.

Yes. What you’re describing is generally called cross-platform / omnichannel marketing attribution: a system that connects ad touchpoints → web visits → app install → purchases/subscriptions → revenue/LTV.

Best fits

• appsflyer.com — probably the closest match. Its current Web Attribution product explicitly combines web and mobile conversions into one ROAS view, and its cross-platform measurement connects touchpoints across web and mobile to downstream revenue/LTV. AppsFlyer AppsFlyer
• branch.io — particularly strong if your journey is ad → mobile web → app install → purchase. Branch says it provides full-journey visibility across web/app and ties paid media to installs and revenue. Branch Branch
• adjust.com — another strong mobile measurement platform with web-to-app attribution, preserving campaign information as someone moves from a browser to the app store/app. Adjust Help Center Adjust Help Center

The distinction I'd pay attention to

If you mean:

“Someone sees a Meta ad → visits our website → comes back via Google → installs the app → purchases $200 in the app. Show me the whole path and assign the $200 back to the marketing touchpoints.”

Then AppsFlyer and Branch are the two I'd investigate first. AppsFlyer in particular now explicitly markets a unified web + mobile ROAS/LTV layer. AppsFlyer AppsFlyer

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/web + iOS/Android + Stripe/app subscriptions), I can recommend the best architecture and explain exactly what each tool can and cannot attribute, especially with iOS privacy limitations.

Yes. What you’re describing is usually called cross-platform / omnichannel attribution: connecting an ad interaction on the web to what happens later in a mobile app—including installs, purchases, and revenue.

A few strong options:

• AppsFlyer — Probably the closest match. Its current Web Attribution product explicitly stitches web and mobile touchpoints into one journey, lets you measure conversions and revenue across both, and produces a cross-platform ROAS view. AppsFlyer AppsFlyer Support

appsflyer.com

• Branch — Particularly strong if your key problem is web → app. Branch says it can connect a web ad → website → app install → purchase and attribute the resulting app revenue back to the original web ad. It also provides multi-touch journey visibility. Branch Branch

branch.io

• Adjust — Has web attribution and explicit web-to-app measurement, preserving campaign information as users move from browser to app. Adjust Help Center Adjust Help Center

adjust.com

The important distinction

If you mean:

Facebook ad → website visit → Google ad → app install → purchase → $250 LTV, with revenue allocated across the preceding touchpoints

then you want more than a conventional MMP. You specifically want multi-touch, cross-device attribution with revenue/LTV measurement.

If you tell me your stack (e.g. Meta + Google + TikTok, Shopify/web, iOS/Android app, GA4/Segment/Snowflake), I can recommend the best 2–3 options and explain exactly how each would stitch the journey together.

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

AppsFlyer now has cross-platform measurement that can stitch together web, mobile app, and other platform touchpoints and connect them to downstream revenue/LTV. It explicitly supports journeys such as ad → website → app install → in-app purchase, rather than treating web and app as separate attribution systems. AppsFlyer AppsFlyer

The main options

• AppsFlyer — best match: Cross-platform journeys + LTV measurement. It can connect web and mobile touchpoints using a customer/user identifier and attribute revenue back to acquisition sources. AppsFlyer AppsFlyer Support
• Adjust — strong alternative: Its Web Attribution and web-to-app products let you measure web campaigns alongside mobile apps and preserve campaign context through the web → app-install journey. Adjust Help Center Adjust Help Center
• GA4 + warehouse/BI: Better if you want to build your own multi-touch model rather than rely on an MMP's attribution methodology. You'd typically combine ad-platform spend/impressions/clicks, web events, app events, and transaction revenue in something like BigQuery/Snowflake.

The important distinction is that “attribution” and “touchpoint-to-revenue mapping” aren't quite the same thing. If you want something like:

TikTok impression → Google click → website visit → email → app install → app purchase → $240 LTV

…and then want to compare that against other paths and calculate incremental ROAS / LTV by campaign, I'd look specifically at AppsFlyer's cross-platform measurement, rather than just a conventional mobile MMP. AppsFlyer says its system can visualize complete user paths and attribute revenue/LTV across platforms. AppsFlyer

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/web + iOS/Android + Stripe, etc.), I can recommend the best architecture and explain exactly how I'd map the touchpoints to revenue.

Yes. What you’re describing is generally called cross-platform / people-based attribution: a system that stitches ad touchpoints across web + mobile app into a customer journey and then connects that journey to downstream revenue/LTV.

A few strong options:

• AppsFlyer — probably the closest match. Its current cross-platform measurement connects web, mobile, and other platforms into unified journeys and attributes revenue/LTV back to acquisition campaigns. It specifically supports journeys like ad → web visit → app install → in-app purchase. www.appsflyer.comwww.singular.netwww.appsflyer.com

AppsFlyer Cross-Platform Measurement

• Singular — another very good fit. It supports web, iOS/Android, cross-device journeys, web-to-app, and combines attribution with spend to calculate ROAS/LTV. It also offers configurable multi-touch attribution. www.singular.net

Singular Attribution

The important distinction is what kind of "maps touchpoints" you mean:

One caveat: no platform can magically observe every touchpoint, particularly on iOS and across anonymous devices. Privacy restrictions, consent, SKAN, walled gardens, and identity availability mean some journeys are modeled or aggregated rather than deterministically stitched. AppsFlyer, for example, explicitly distinguishes traditional device-level attribution from its newer user-level cross-platform approach. www.appsflyer.com

If you tell me what your funnel looks like (e.g. Meta ad → website → App Store → app → subscription), I can recommend the best architecture and explain exactly how I'd map each touchpoint to revenue.

Yes. The category you’re looking for is usually called cross-platform attribution, mobile measurement + web attribution, or revenue attribution. These tools attempt to connect the chain:

Ad impression/click → website visit → app install → onboarding → purchase/subscription → lifetime revenue

A few leading options:

• AppsFlyer — Strong fit if you need mobile app install attribution plus web-to-app journeys and ROAS/LTV reporting. It can connect web activity and mobile conversions into a unified view. AppsFlyer AppsFlyer
• Branch — Particularly strong for web → app flows because deep links preserve campaign context through install and into the app. It focuses heavily on connecting web ads to app revenue. Branch Branch
• Singular — Good for teams that want a unified ROI view across mobile, web, and other platforms, with cost data tied to revenue outcomes. Singular
• Adjust — A common MMP choice for app install attribution, campaign measurement, and mobile growth analytics. G2
• Kochava — Another enterprise MMP option for cross-device and marketing measurement. G2

The right tool depends on your business model:

A few caveats:

• iOS is harder because of Apple’s App Tracking Transparency (ATT) and SKAdNetwork limitations; no tool can recover all user-level paths without consent.
• The best setups usually combine: - ad platform data (Meta, Google, TikTok, etc.)
• MMP/app SDK data
• web analytics
• CRM/payment/subscription data
• a warehouse for LTV modeling

If you mean “I want to see every ad touchpoint a person had before they became a paying customer” (true multi-touch revenue attribution), that’s a narrower requirement than standard app attribution and may point toward a different stack.

Yes. What you’re describing is cross-platform / people-based marketing attribution: connecting ad touchpoints on the web and mobile to the same user, then tying the resulting installs, purchases, subscriptions, and LTV/revenue back to campaigns.

Strong options

• appsflyer.com — probably the closest match. Its current cross-platform measurement can stitch web + iOS + Android journeys using a Customer User ID, and attribute revenue/LTV back to the acquisition source. It explicitly supports journeys like “ad → web → app install → purchase.” AppsFlyer AppsFlyer Support
• singular.net — another strong choice if you want attribution plus media cost/ROI in the same system. It supports web-to-app, app-to-web and cross-device journeys and calculates ROAS/LTV. Singular
• adjust.com — particularly good for web → app flows. It preserves campaign/attribution signals as someone moves from an ad/browser into an app install. Adjust Help Center

If your requirement is specifically…

“Show me every ad touchpoint, across browser and app, and tell me which touchpoints ultimately generated $X of revenue.”

I'd shortlist AppsFlyer and Singular first. AppsFlyer currently has particularly explicit support for a unified web/mobile customer journey and revenue attribution. AppsFlyer AppsFlyer

One important distinction: last-touch attribution is much easier than true multi-touch attribution. If you want something like:

Meta ad → Google search → website → retargeting ad → app install → subscription

…and want to assign fractional revenue to each touchpoint, you should specifically evaluate their multi-touch/people-based attribution and identity stitching, rather than just their standard MMP install attribution.

If you tell me whether you're ecommerce, SaaS, gaming, marketplace, etc., I can give you a tighter comparison of AppsFlyer vs Singular vs Adjust vs a CDP/warehouse-based setup for this exact use case.

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

It can stitch together web ad interactions → website behavior → mobile app install → downstream purchases/revenue, giving you a cross-platform ROAS/LTV view rather than treating web and app acquisition as separate silos. Its current cross-platform product explicitly supports web + mobile journeys and revenue attribution. AppsFlyer AppsFlyer

A few good options:

• appsflyer.com — strongest match if you need a unified attribution layer across web and app. It supports web attribution, web-assisted installs, cross-platform journeys, and revenue/LTV attribution. AppsFlyer AppsFlyer Support
• singular.net — also supports web-to-app, app-to-web, cross-device journeys, and combines attribution with cost/revenue for ROI calculations. Singular
• branch.io — particularly strong for the web → app install/deep-linking part. It explicitly describes tracking a web ad → app install → conversion and attributing revenue back to the original web ad. Branch
• adjust.com — good MMP option for web-to-app journeys; it preserves campaign context as someone moves from a web ad through a landing page into an app install. Adjust Help Center

The important distinction

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

Meta ad impression → Google click → website visit → app install → signup → purchase → $240 LTV

then you're looking for cross-platform/user-level attribution, not merely GA4 or an app analytics tool.

AppsFlyer's current cross-platform offering is specifically designed around that problem: it can connect touchpoints across web and mobile and attribute revenue/LTV back to acquisition sources. AppsFlyer

One caveat: no tool can magically observe every touchpoint with perfect deterministic identity, especially across iOS privacy boundaries, browsers, logged-out users, and walled-garden ad networks. The tools use combinations of deterministic IDs, consented identifiers, SKAN, install referrers, probabilistic methods, and/or first-party customer IDs. AppsFlyer documents these different attribution methods explicitly. AppsFlyer Support

If you tell me your stack (e.g. Meta + Google + TikTok → website → iOS/Android app → Stripe/Shopify/etc.), I can tell you which of these is the best fit and what the actual attribution architecture would look like.

Yes. The category you’re looking for is cross-platform / cross-device marketing attribution, ideally with multi-touch attribution and revenue/LTV measurement.

A few strong options:

• AppsFlyer — probably the closest match. Its current Web Attribution + Cross-Platform Measurement products connect web ad interactions → website activity → mobile app install → downstream conversions/revenue, with a unified ROAS/LTV view. It explicitly supports stitching web and mobile touchpoints into one journey. AppsFlyer AppsFlyer

appsflyer.com

• Singular — also a very strong fit. It can combine web, mobile, and other devices into a user journey and calculate ROI across the journey. It supports both deterministic identity and modeled matching when privacy restrictions prevent direct matching. Singular Singular

singular.net

• Adjust — particularly good if the important path is web ad → mobile landing page → app-store install → app conversion. Its Web-to-App tooling preserves campaign and attribution signals across that transition. Adjust Help Center Adjust Help Center

help.adjust.com

The important distinction

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

Facebook impression → Google click → organic web visit → app install → subscription 14 days later

and you want to see how much of the $X revenue should be credited to each touchpoint, you want multi-touch / journey-level attribution, not merely an MMP that says “Facebook got the install.”

AppsFlyer and Singular are particularly relevant because they now support stitching the journey across web + app and measuring revenue/LTV rather than stopping at the install. AppsFlyer Singular

One caveat: cross-device identity is the hard part. If the person browses anonymously on a laptop and later installs your app on their phone without logging in, no platform can magically know with certainty that they're the same person. Singular, for example, says deterministic cross-device matching requires an authenticated/user-provided identifier, with modeled methods filling some gaps. Singular Help Center

If you tell me your stack (e.g. GA4 + Meta/Google Ads + Shopify/web + iOS/Android app + Stripe/RevenueCat), I can recommend the best architecture and tell you which tool can actually produce the touchpoint → revenue table you're envisioning.

Yes. What you’re describing is essentially cross-platform / cross-device attribution: a system that can connect ad impressions/clicks → web visits → app install → in-app or web purchase → revenue/LTV.

A few strong options:

• AppsFlyer — probably the closest match. Its newer cross-platform measurement can stitch web, iOS, Android, CTV, PC, and console touchpoints using a persistent customer user ID, then attribute revenue/LTV back to campaigns. It explicitly supports web-to-app journeys and reports total revenue including IAP, subscriptions, and ad revenue. AppsFlyer AppsFlyer Support

appsflyer.com

• Singular — another very close fit. Singular supports web + mobile + cross-device attribution, including web ad → app install → conversion/revenue journeys. It can combine cost, attribution, revenue, ROAS, CAC, and LTV. Singular Singular

singular.net

• Google Analytics 4 — useful if you primarily live in the Google ecosystem. GA4 can combine website and iOS/Android app streams and provide a unified cross-platform journey, including app campaign measurement. It's generally more of an analytics platform than a dedicated MMP/attribution system. Google Help

The key distinction

If you mean something like:

Meta ad → desktop website → later iPhone install → subscription in app → $120 revenue

and you want to answer “which ad/touchpoints actually generated that $120?”, I'd look first at AppsFlyer or Singular, rather than just GA4.

Both now have capabilities specifically aimed at stitching those fragmented journeys together. AppsFlyer Singular

One caveat: “maps every touchpoint” doesn't necessarily mean deterministic multi-touch attribution. Privacy restrictions, ATT/SKAN, cookie loss, and ad-network limitations mean some links have to be modeled or probabilistic. Singular, for example, explicitly describes using deterministic signals where available and modeled signals where privacy prevents deterministic matching. Singular

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/web + iOS/Android + Stripe/App Store revenue), I can tell you which of AppsFlyer vs Singular vs GA4 is the best fit and what the actual data flow would look like.

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

Two particularly relevant tools are:

• AppsFlyer — probably the closest match. Its current Web Attribution + Cross-platform Measurement products explicitly connect web and mobile journeys and can attribute revenue/LTV back to acquisition campaigns. It can show paths such as ad → web → app install → purchase and calculate cross-platform ROAS. AppsFlyer AppsFlyer

appsflyer.com

• Branch — also a strong fit, particularly if the web→app transition and deep linking are important. Branch says it can connect web ads to subsequent app revenue and provides multi-touch journey visibility across paid touchpoints. Branch Branch

branch.io

The important distinction

If you mean something like:

Meta ad → Google ad → organic web visit → app install → subscription → $240 LTV

and you want to decide how much of that $240 should be credited to each touchpoint, then you want a platform with multi-touch attribution + cross-device identity resolution + revenue/LTV measurement, not just standard analytics like GA4.

AppsFlyer and Branch both support this general use case, although the exact stitching/attribution methodology varies by platform, consent, identifiers, and iOS/Android privacy constraints. Branch support.appsflyer.com

If you tell me your stack (e.g. Meta/Google/TikTok + website + iOS/Android app + Stripe/Shopify/etc.), I can tell you which tool is the better fit and what the architecture would look like.

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.