ChatGPT answers, unedited

For retargeting campaigns specifically, I would prioritize incrementality/lift measurement over standard attribution. Retargeting is where attribution tools are most likely to over-credit ads because many users were already close to converting. A good platform should answer: “Did the ad cause additional conversions, or did it just capture existing intent?” Stackmatix

Here are the strongest options depending on your setup:

Best overall choices

1. Measured — best for serious incrementality testing

Best for: Mid-market and enterprise brands running meaningful spend across multiple channels.

Why:

• Runs controlled lift tests (geo-matched and audience split tests)
• Measures incremental sales/conversions rather than platform-attributed ROAS
• Good fit if you need something defensible for budget decisions Measured®

Use it if:

• You spend enough that a 5–10% difference in performance matters
• You run Meta + Google + TikTok/programmatic retargeting
• You need a measurement layer independent from ad platforms

2. AppsFlyer Incrementality — best for app retargeting

Best for: Mobile apps running re-engagement campaigns.

Why:

• Built specifically around remarketing incrementality
• Uses control groups to estimate incremental lift
• Helps separate organic conversions from conversions caused by retargeting ads AppsFlyer Support

Use it if:

• Your retargeting goal is app installs, reactivations, subscriptions, or purchases inside an app.

3. Native platform lift studies — best starting point

For many advertisers, start with the ad platforms themselves:

• Meta Platforms Conversion Lift
• Google Conversion Lift
• TikTok Lift Studies

Pros:

• Easy to deploy
• No additional vendor
• Directly tied to campaign audiences

Cons:

• Results are siloed inside each platform
• You cannot easily compare Meta retargeting vs Google retargeting vs other channels in one view Triple Whale

4. Northbeam / Triple Whale — best for ecommerce attribution + optimization

Best for: DTC brands that need daily performance reporting plus some incrementality capability.

They are useful for:

• Blended CAC
• Customer journey analysis
• Channel comparison
• Creative/campaign optimization

But I would not rely on attribution alone for retargeting decisions; you still want holdouts or lift tests because retargeting has high cannibalization risk. Stackmatix

My recommendation by company stage

LiftLab Measured®## Metrics I would actually use for retargeting

Avoid optimizing around:

• ROAS from the ad platform
• Last-click conversions
• View-through conversions alone

Instead measure:

• Incremental conversion lift (%)
• Incremental CPA
• Incremental revenue
• Cost per incremental customer
• Holdout vs exposed conversion rate

A practical setup is:

1. Keep your normal attribution dashboard for optimization.
2. Run quarterly (or monthly if spend is large) holdout tests.
3. Reduce retargeting spend if incremental CPA is worse than prospecting.

If you share your channel mix (Meta/Google/display/TikTok), monthly spend, and whether you’re ecommerce, SaaS, or app, I can narrow this to the best-fit stack.

If your goal is specifically to measure whether retargeting actually causes incremental conversions—not just whether it gets credit for conversions—I’d choose AppsFlyer.

My ranking

Why AppsFlyer is my pick: it combines conventional attribution with actual incrementality experiments. Its retargeting incrementality product uses treatment/control groups to estimate the conversions that happened because of the campaign, rather than simply assigning credit to people who were already likely to convert. support.appsflyer.com

That distinction is particularly important for retargeting. For example:

1,000 purchases are attributed to retargeting
→ experiment shows only 250 were incremental
→ your true incremental ROAS should be based on those 250, not 1,000.

AppsFlyer also reports incrementality factor, which lets you compare incremental conversions against conventionally attributed conversions. support.appsflyer.com

If you're primarily web/ecommerce

I'd be more cautious about defaulting to AppsFlyer. If you're running primarily Meta + Google retargeting to a website, I'd consider:

1. Google Conversion Lift if Google is a major part of the spend. It supports controlled experiments and reports incremental conversions, relative lift, incremental conversion value and iCPA. support.google.com

2. A dedicated incrementality/experimentation platform if you need one measurement layer across Meta, Google, TikTok, etc.

3. Platform attribution only as a last resort. Retargeting is exactly where last-click/view-through attribution can be misleading because you're targeting people who were already close to converting.

The key question

If you tell me (a) app vs. web/ecommerce, (b) monthly retargeting spend, and (c) which channels—Meta, Google, TikTok, Criteo, etc., I can tell you which platform I'd actually deploy and what measurement setup I'd use.

If your goal is specifically to measure whether retargeting actually causes incremental conversions, rather than simply getting another attribution number, I’d prioritize incrementality/lift measurement over a traditional attribution platform.

My recommendation

1. AppsFlyer — best if you're measuring app/mobile retargeting

AppsFlyer is probably the strongest fit if your retargeting campaigns are for an app. Its Incrementality product explicitly supports remarketing campaigns, lets you measure lift alongside attribution, and supports cross-network experiments. Its documentation specifically addresses the problem of distinguishing retargeting-driven conversions from users who would have converted organically anyway. AppsFlyer AppsFlyer Support

appsflyer.com

2. Measured — best for a larger ecommerce/DTC advertiser with multiple channels

If you're running Meta + Google + TikTok + other paid media and want an independent measurement layer, I'd look hard at Measured. It combines geo/split incrementality tests with modeling and platform data, so you're not relying on Meta or Google to grade their own performance. Measured® Measured®

measured.com

3. Meta/Google's native lift studies — best starting point if you're primarily on one platform

If most of your retargeting spend is on Meta, I'd actually start with Meta's own Conversion Lift/experimentation capability rather than buying a third-party platform immediately. Likewise, Google has Conversion Lift, which uses treatment/control groups to estimate incremental conversions rather than platform-attributed conversions. Google Help Google Help

The important distinction is:

Attribution: "Someone saw/clicked the retargeting ad and then purchased."
Incrementality: "The person purchased because they were exposed to the retargeting ad."

For retargeting, that distinction is especially important because you're targeting people who are already relatively likely to convert.

What I'd choose by situation

One caveat: don't replace attribution entirely with lift. Attribution is useful for day-to-day optimization and campaign diagnostics; lift is what you should use to answer the bigger question of whether the spend actually created incremental business. Google itself makes essentially this distinction between attribution and randomized lift measurement. blog.google

If you tell me (1) Meta/Google/TikTok/etc., (2) ecommerce vs. app, (3) approximate monthly retargeting spend, and (4) whether you need campaign-level or channel-level lift, I can give you a much more specific recommendation—including which one I'd actually buy.

For retargeting campaigns specifically, I would prioritize incrementality/lift measurement over standard attribution. Retargeting is where platforms most often over-credit themselves because they are reaching people who were already likely to convert. www.stackmatix.comwww.stackmatix.com

The best platform depends on where your retargeting runs:

My typical recommendation for a retargeting measurement stack

1. Daily optimization
   • Platform attribution (CPA, ROAS, frequency, conversion rate)
   • Pixel/server-side tracking quality

2. True performance measurement
   • Run a holdout test:
     • 90–95% of eligible users receive ads
     • 5–10% are intentionally withheld
     • Compare conversion rates
   • Report:
     • Incremental conversions
     • Incremental CPA
     • Incremental ROAS

3. Decision metric
   • Don’t ask: “Did retargeting get credit?”
   • Ask: “How many extra conversions happened because we ran retargeting?”

If I had to pick one:

• Mostly Meta retargeting: use Meta Conversion Lift
• Mostly Google remarketing: use Google Conversion Lift
• Serious cross-channel spend: use a third-party incrementality solution plus platform tests

One caution: retargeting often produces very high attributed ROAS but lower incremental ROAS because many users were already close to converting. www.stackmatix.comwww.stackmatix.com

If you share your channels (Meta, Google, TikTok, CTV, email), monthly spend, and conversion volume, I can recommend a more specific setup.

If your specific goal is measuring whether retargeting actually causes incremental conversions, I would prioritize incrementality/lift testing over standard attribution. Retargeting is especially prone to over-crediting itself because the people being retargeted are already high-intent.

My recommendation

1. Northbeam — best if you're a DTC/e-commerce brand

Northbeam is probably my first choice if you want both attribution and lift measurement in the same system. It now combines multi-touch attribution, MMM, and incrementality testing, with incrementality tests designed to measure causal lift. www.northbeam.io

For retargeting, I'd use it to compare:

• Retargeted users exposed to ads vs. holdout users
• Incremental conversions/revenue
• Incremental ROAS
• Attributed ROAS vs. incremental ROAS
• Performance by campaign/audience/creative

The key metric I'd care about is incremental ROAS, not platform-reported ROAS.

2. Haus — best if lift/causal measurement is the primary objective

Haus is particularly compelling if you have a sophisticated analytics/growth team and want rigorous incrementality experiments. It supports geo-based and audience-based experimentation and explicitly focuses on causal impact rather than simply assigning credit. www.haus.io

I'd lean toward Haus over Northbeam if your question is primarily:

"Does retargeting actually create additional purchases, or are we just advertising to people who would've purchased anyway?"

3. Google Conversion Lift — best if most of your retargeting is Google

Google's native Conversion Lift is worth using before buying another platform. It creates treatment/control groups and measures incremental conversions, rather than relying on Google's normal attribution rules. support.google.com

Google also supports geo-based lift studies, which can measure incremental ROAS and incremental conversion value. support.google.com

What I'd choose

Rockerbox is another strong option if you need MTA + MMM + incrementality across a broader marketing mix. www.rockerbox.com

One important caveat

For retargeting specifically, I wouldn't rely on a conventional attribution platform alone. If Meta says your retargeting campaign generated $500k of revenue, that doesn't tell you how much of that $500k was caused by the ads. A holdout/incrementality test does.

A good measurement setup would therefore look like:

Attribution → "Who gets credit?"
Incrementality → "Did the advertising actually cause the sale?"

For retargeting, the second question is the one I'd optimize your budget around.

If you tell me your ad channels (Meta/Google/TikTok/etc.), monthly ad spend, and whether you're DTC/e-commerce or B2B, I can narrow this down to the one platform I'd use and the exact retargeting lift test I'd run.

If your primary goal is measuring true lift from retargeting—not just giving the ads credit for conversions that were going to happen anyway—I’d use an incrementality platform rather than relying on standard ad-platform attribution.

My recommendation

1. AppsFlyer — best if you're app/mobile-heavy

• Particularly strong for remarketing/retargeting.
• Its Incrementality product creates treatment vs. holdout groups and measures incremental conversions/revenue.
• You can see incremental lift alongside normal attribution, which makes it easier to compare “attributed ROAS” vs. “incremental ROAS.” support.appsflyer.comwww.appsflyer.comthemediabuyer.northbeam.iowww.rockerbox.com
• It supports experiments across multiple ad networks, rather than evaluating each network using its own definition of success. support.appsflyer.comwww.appsflyer.comthemediabuyer.northbeam.iowww.rockerbox.com

2. Northbeam — best for DTC/ecommerce

• Good choice if your retargeting is primarily Meta, Google, TikTok, etc. driving ecommerce purchases.
• Northbeam launched Incrementality in 2026, combining automated holdout testing with its multi-touch attribution and MMM. themediabuyer.northbeam.io
• The advantage is having MTA + incrementality in the same measurement environment.

3. Rockerbox — best for more complex/multi-channel businesses

• Combines MTA, MMM, and incrementality testing. www.rockerbox.com
• Particularly interesting if you have offline sales, longer purchase journeys, or a mix of paid/organic channels.

What I would not use as the sole source of truth

Meta Ads Manager / Google Ads reporting alone.

They're useful for operational optimization, but their normal attribution answers “which ads got credit?”, not necessarily “how many additional conversions did the ads cause?”

Google's own Conversion Lift documentation makes this distinction explicitly: standard attributed conversions follow the platform's attribution rules, whereas Conversion Lift compares treatment and control groups to estimate causal incremental conversions. support.google.com

Google Conversion Lift can therefore be excellent if you're almost exclusively measuring Google campaigns, but it's not my first choice as the central measurement layer for a multi-platform retargeting program—and availability isn't universal. support.google.com

The setup I'd use

For a typical ecommerce retargeting program:

Ad platforms → Northbeam/Rockerbox → incrementality holdouts

Then report:

That last comparison is particularly revealing. If Meta reports 10,000 retargeting conversions but the holdout test suggests only 2,000 were incremental, your attribution-based ROAS is dramatically overstating the economic value of retargeting.

Bottom line:

• Mobile/app retargeting → AppsFlyer
• DTC/ecommerce → Northbeam
• Complex omnichannel → Rockerbox
• Google-only → Google Conversion Lift can be sufficient

If you tell me your channels (Meta/Google/TikTok/etc.), business model (app vs. ecommerce vs. B2B), and approximate monthly retargeting spend, I can narrow this down to the best platform and experimental design for your situation.

If your primary goal is retargeting specifically, I’d prioritize incrementality/lift measurement over conventional attribution. Retargeting is particularly prone to over-attribution because the people you target are already high-intent and often would have converted anyway. AppsFlyer explicitly frames its incrementality product around this problem for remarketing. support.appsflyer.com

My shortlist

1. Google Conversion Lift — easiest starting point
If your retargeting is primarily Google/YouTube, I'd start here. Google uses treatment/control groups to estimate incremental conversions rather than simply reporting attributed conversions, and gives you incremental conversions, incremental CPA, incremental revenue and iROAS. support.google.com

2. Measured — best neutral option
If you're running retargeting across Meta + Google + TikTok + Criteo + other DSPs, I'd look closely at Measured. It supports geo-matched and first-party split tests and is designed specifically to quantify incremental sales rather than accept each ad platform's attribution at face value. www.measured.com

3. AppsFlyer — if this is an app business
For mobile apps, AppsFlyer is particularly relevant because its incrementality tooling is explicitly designed to answer whether remarketing actually generated additional conversions beyond organic conversion. support.appsflyer.com

4. Criteo — if Criteo is your retargeting engine
Criteo supports geo/user split testing and third-party validation, and can measure outcomes such as incremental sales, AOV and new-customer rate. www.criteo.com

What I'd actually implement

Don't try to find one attribution model that tells you the truth. I'd use a two-layer setup:

Platform attribution → operational optimization
Use Meta/Google/Criteo's native attribution to optimize bids, audiences and creatives.

Independent holdout testing → truth / budget decisions
Periodically hold out a randomized portion of your retargetable audience and calculate:

Incremental ROAS = (Treatment revenue − Control revenue) / Retargeting spend

That's much more informative than reported ROAS. Google, for example, explicitly distinguishes attributed conversions from incremental conversions because the latter measures conversions that wouldn't have happened without the advertising. support.google.com

If I had to pick just one:

• Google-heavy: Google Conversion Lift
• App: AppsFlyer
• Multi-channel/e-commerce: Measured
• Enterprise: Nielsen / a broader MMM + incrementality program

If you tell me (1) B2C ecommerce vs SaaS vs app, (2) your retargeting channels, and (3) roughly how much you spend/month, I can narrow this to the best 1–2 platforms and explain what I'd use for the actual test design.

If your goal is specifically to measure whether retargeting is actually incremental—rather than simply getting credit for conversions that would have happened anyway—I’d prioritize incrementality/holdout testing over standard attribution.

My ranking

My pick: Northbeam if you're a DTC/ecommerce advertiser running meaningful retargeting across Meta, Google, TikTok, etc. Northbeam now combines multi-touch attribution, MMM, and incrementality in one measurement system, which is particularly useful because you can compare your normal attributed ROAS against experimentally measured incremental ROAS. www.northbeam.io

The important distinction is:

• Attribution: "This retargeting ad got credit for 100 purchases."
• Lift/incrementality: "Without retargeting, we would have gotten 80 purchases, so retargeting actually caused ~20 additional purchases."

For retargeting, the second number is the one I'd use for budget decisions, because retargeting audiences are already high-intent and therefore particularly susceptible to attribution over-crediting.

If you're mostly running Meta retargeting

I'd actually start with Meta's own Conversion Lift/holdout capabilities where available, then use Northbeam or Haus as the independent measurement layer. The basic experiment is exposed users vs. a randomized holdout, which gives you incremental conversions rather than merely attributed conversions.

Northbeam vs. Haus

I'd choose Northbeam if you want:

attribution → incrementality → MMM → budget allocation

all in one platform.

I'd choose Haus if your organization is more measurement/analytics-oriented and the central question is:

"Can we rigorously test whether this specific retargeting tactic causes incremental revenue?"

Haus supports geo experiments, fixed geo tests, and time-based experiments across channels including Meta and Google. www.haus.io

And if you're already heavily invested in Google Ads, Google's own Conversion Lift is worth using because it directly reports incremental conversions, incremental conversion value, iCPA and iROAS. support.google.com

Bottom line: For a typical ecommerce/DTC retargeting program, Northbeam + platform-native lift tests would be my preferred setup. Don't use MTA alone to answer whether retargeting is incremental. www.northbeam.io

If you tell me your ad platforms (Meta/Google/TikTok/etc.), monthly spend, and whether you're ecommerce or lead-gen, I can recommend the specific measurement stack and experimental design I'd use.

If your goal is specifically to answer “does retargeting actually cause incremental conversions?”, I’d prioritize incrementality testing over conventional attribution.

My recommendation

1. I'd choose Northbeam for most ecommerce brands

Northbeam

Northbeam combines multi-touch attribution, incrementality testing, and MMM, and its incrementality product is designed to automate experiment setup and measurement. www.northbeam.io

That's particularly useful for retargeting because you can look at:

• attributed revenue vs. incremental revenue
• incremental ROAS
• campaign/ad-set/creative performance
• how much of your “retargeting revenue” would have happened anyway
• whether retargeting is cannibalizing conversions that were already likely to occur

The last point is the big one. Retargeting is one of the channels where platform-reported ROAS can look fantastic while incremental impact is relatively small.

2. Choose Haus if the primary question is lift

Haus

Haus is more focused on causal measurement. Its experiments compare treatment and holdout groups to estimate what would have happened without the advertising. It supports geo experiments across channels including Meta, Google, YouTube and TikTok. www.haus.io

I'd lean Haus if your question is:

“If I stop showing ads to people who have already visited my site, how many purchases do I actually lose?”

That's a better question than:

“How many purchases did the retargeting campaign get credit for?”

3. Rockerbox if you want attribution + lift in one broader system

Rockerbox

Rockerbox combines MTA, MMM, and incrementality testing, with integrations across 100+ marketing platforms. www.rockerbox.com

I'd consider it if you have a more complex media mix—paid social + search + affiliates + influencers + offline, etc.—and don't want your retargeting analysis living in isolation.

Don't overlook the native platform experiments

If you're primarily running Google retargeting, Google's own Conversion Lift is very compelling. It creates treatment/control groups and reports incremental conversions, incremental conversion value, iCPA and iROAS. www.northbeam.iosupport.google.comsupport.google.com

And that's important conceptually: attribution and incrementality answer different questions. Google's documentation explicitly distinguishes standard attributed conversions from incremental conversions measured through a holdout experiment. www.northbeam.iosupport.google.comsupport.google.com

What I'd actually build

For a serious retargeting program, I'd use:

Northbeam (or Rockerbox) → day-to-day attribution
Haus / platform Conversion Lift → periodic incrementality validation

Then your dashboard has something like:

Retargeting spend: $100k
Platform-attributed revenue: $500k
MTA revenue: $350k
Incremental revenue: $180k
Incremental ROAS: 1.8x

That final number is the one I'd use for the “should we spend another $100k?” decision.

If you tell me your setup (e.g. Meta + Google, ecommerce vs. lead gen, monthly retargeting spend, and approximate monthly conversions), I can tell you which of Northbeam vs Haus vs Rockerbox vs native platform experiments is the best fit and how I'd structure the retargeting holdout test.

If your goal is specifically retargeting incrementality—i.e., “how many conversions did retargeting actually cause vs. how many would have happened anyway?”—I’d prioritize incrementality testing over traditional attribution.

My shortlist

My pick depends on your setup:

• Mobile/app retargeting → AppsFlyer. Its incrementality product explicitly supports remarketing campaigns and puts attribution and causal lift side-by-side. www.appsflyer.com
• DTC/ecommerce → Klar or Triple Whale. Klar is particularly explicit about testing retargeting incrementality with geo experiments, while Triple Whale combines attribution with GeoLift and Meta Conversion Lift. getklar.com
• Large enterprise / multiple channels → Lifesight. It combines geo experiments, MMM and calibrated attribution, including identifying low-incremental retargeting spend. lifesight.io
• If you're primarily running Meta or Google: start with their native lift experiments before buying another platform. Google Conversion Lift, for example, randomly creates treatment/control groups and reports incremental conversions, iROAS and related metrics. support.google.com

The important distinction

Don't optimize around attributed ROAS alone.

For retargeting, a platform can report a fantastic ROAS simply because you're targeting people who were already highly likely to purchase. The number you really want is:

Incremental ROAS = incremental revenue ÷ retargeting spend

For example:

Retargeting reports $500k attributed revenue on $100k spend → 5.0x attributed ROAS
Holdout test shows only $150k was incremental → 1.5x incremental ROAS

That difference is exactly why retargeting is one of the areas where incrementality testing is particularly valuable. getklar.com

If you tell me whether you're doing (1) ecommerce/web, (2) mobile app, or (3) lead gen, and whether the retargeting is mainly Meta/Google/DV360/Criteo, I can narrow this to the 1–2 platforms I'd actually use.

If your goal is specifically to measure whether retargeting is actually incremental—rather than letting retargeting claim conversions that would have happened anyway—I’d prioritize Haus.

My ranking

Why Haus: it lets you run treatment/holdout experiments and measure the incremental conversions caused by advertising, rather than relying on clicks/views. It also has a causal-attribution product that uses experiment results to calibrate daily platform reporting. www.haus.io

That's particularly valuable for retargeting because retargeting is one of the areas where standard attribution can be especially misleading: you're targeting people who are already high-intent, so a large percentage of "conversions attributed to retargeting" may have happened without the ad.

What I'd actually do

If you're running Meta + Google retargeting, I'd use:

1. Platform-native lift tests → establish causal lift
2. Haus → run independent incrementality tests across channels and calibrate attribution
3. Your normal attribution/analytics → use for day-to-day optimization

Google's Conversion Lift, for example, explicitly compares a treatment group that sees ads with a control group held out from seeing them, giving you incremental conversions rather than standard attributed conversions. support.google.com

The key metric I'd optimize around is:

Incremental ROAS = incremental revenue ÷ retargeting spend

rather than reported ROAS.

If you tell me your stack (e.g. Meta/Google/TikTok + Shopify/GA4 + your monthly spend), I can recommend the specific setup and tell you whether Haus vs native Meta/Google lift testing is worth paying for.

If your specific goal is measuring whether retargeting actually causes incremental conversions—not just gets credit for conversions that would've happened anyway, I’d prioritize incrementality/holdout testing over traditional attribution.

My recommendation

If I were choosing one

For a DTC/ecommerce brand: I'd start with Northbeam. It combines multi-touch attribution, incrementality testing, and MMM in one measurement layer, and its incrementality product is specifically designed to automate test setup and measurement. www.northbeam.io

If your primary question is "Does retargeting work at all?" I'd choose Haus. Its core methodology is treatment-vs-holdout experimentation, which is much closer to answering the causal question you're asking. It can run geo, time, and other controlled experiments across Meta, Google, TikTok, CTV, etc. www.haus.io

The key distinction for retargeting

Suppose your Meta retargeting campaign reports:

• 10,000 conversions
• $500k attributed revenue
• 8x ROAS

That doesn't mean the retargeting caused those 10,000 purchases. Many of those people may already have been coming back to purchase.

What you really want is something like:

Exposed: 10,000 conversions
Holdout: 8,500 conversions
Incremental: 1,500 conversions
Incremental ROAS: $75k incremental revenue / $25k spend = 3.0x iROAS

That's the number I'd use to decide whether to scale or cut retargeting. Google similarly distinguishes standard attributed conversions from Conversion Lift's treatment/control measurement of incremental conversions. support.google.com

One important caveat

I wouldn't use a conventional MTA platform alone to answer the retargeting question. Attribution is useful for understanding customer paths and allocation of credit, but retargeting is particularly vulnerable to selection bias: the people you retarget are already disproportionately likely to convert.

So the ideal stack is:

Incrementality test → establish causal lift
MTA → understand paths and optimize campaigns
Platform reporting → operate campaigns day-to-day

If you tell me (1) Meta vs Google vs TikTok, (2) ecommerce vs lead gen, and (3) roughly monthly retargeting spend, I can tell you which of Haus vs Northbeam vs Rockerbox vs native platform lift testing I'd pick for your situation.

If your main question is “Did retargeting actually cause incremental conversions, or did it just get credit for people who were already going to convert?”, I’d prioritize incrementality/holdout testing over another attribution platform.

My picks

If you're an app company: I'd choose AppsFlyer. Its incrementality product is specifically designed for remarketing and lets you see attribution and incremental lift side-by-side. It automatically creates treatment/holdout groups and can run experiments across multiple ad networks. support.appsflyer.com

If you're DTC/e-commerce: I'd lean toward Haus. It's more experiment-centric and can run geo-based incrementality tests across Meta, Google, TikTok, CTV, etc. www.haus.io

If you're a large enterprise with lots of channels: Measured is compelling because it combines incrementality with broader MMM/media measurement and supports a large number of media/data integrations. www.measured.com

One important distinction

Don't use attribution alone to answer the retargeting question.

For example, suppose retargeting reports:

• 10,000 attributed purchases
• $500k attributed revenue
• 5x ROAS

That doesn't tell you whether those customers would have purchased anyway.

A proper holdout test might reveal:

• 10,000 attributed purchases
• 2,000 incremental purchases
• $100k incremental revenue
• 1x incremental ROAS

That's the number I'd use for deciding whether to scale or cut retargeting. Google describes the same principle with Conversion Lift: treatment vs. control conversion differences represent the causal/incremental effect, rather than standard attributed conversions. support.google.com

My default recommendation:
AppsFlyer for app retargeting; Haus for e-commerce/DTC; Measured for enterprise. If you're primarily spending on Meta + Google retargeting, I can also compare the three specifically on setup effort, cost, audience holdouts, statistical rigor, and campaign-level reporting.

If your goal is specifically retargeting, I’d choose AppsFlyer if you’re running app/mobile campaigns, and Haus if you’re primarily measuring web/DTC campaigns.

My recommendation

Why AppsFlyer is my #1 for retargeting: it was specifically built to combine retargeting attribution with holdout-based incrementality testing. Its experiments compare exposed/test audiences against control groups, letting you estimate the conversions or revenue that were actually caused by remarketing rather than conversions that would have happened anyway. support.appsflyer.com

It also puts attribution and incrementality side-by-side, which is important because you generally don't want to replace attribution—you want to understand the gap between attributed conversions and incremental conversions. www.appsflyer.comwww.haus.io

The key distinction

For retargeting, don't optimize around:

"How many conversions did my retargeting campaign get credit for?"

Instead, measure:

"How many additional conversions did retargeting cause versus what would have happened without the ads?"

For example:

• Retargeting attributed conversions: 10,000
• Control-group conversion rate suggests 7,500 would have converted anyway
• Incremental conversions: 2,500
• Spend: $100k
• Incremental CPA = $40
• Incremental ROAS should be calculated from the incremental revenue, not the 10,000 attributed conversions.

That's the number I'd use to decide whether to scale or cut retargeting.

When I'd pick something else

If you're mostly Google Ads, start with Google Conversion Lift. Google supports both user-based and geographic experiments and reports incremental conversions, conversion value, iCPA and iROAS. support.google.com

If you're DTC/e-commerce across Meta + Google + TikTok + CTV, I'd seriously consider Haus, particularly if you want geo experiments across multiple channels rather than an app-focused attribution stack. www.haus.io

Bottom line:

• 📱 App/mobile retargeting → AppsFlyer
• 🛒 DTC/web retargeting across multiple channels → Haus
• 🔵 Mostly Meta → Meta's native lift testing + a broader measurement layer
• 🔴 Mostly Google → Google Conversion Lift
• 🌐 Lots of networks + need one attribution/incrementality system → AppsFlyer

If you tell me whether you're measuring an app, website/DTC, or both—and which retargeting channels (Meta, Google, TikTok, Criteo, etc.), I can narrow this down to the best setup and explain exactly how I'd structure the holdout test.