The measurement layer for modern commerce

Measure every touch.
Improve the next one.

Unify first-party clicks, verified ad views, post-purchase survey answers, and orders into decision-ready attribution — then send richer signals back to the platforms buying your next customer.

See MTA in action
An editorial data sculpture showing clicks, views, survey responses, and purchase signals converging into one attribution system.
Signal ledger / live
Clicks + views + survey + revenue → enrichment
First-party clicks
Tracked by Triple Pixel
Verified views
Deterministic platform joins
Zero-party signal
Post-purchase survey
Platform enrichment
Server-side signal passback
Built for brands where the journey is never one click
Selected public customer stories
Cozy Earth
Travelpro
Hat Club
Ekster
Soar With Us

The sale has a story.
Last click is only the last sentence.

Modern journeys move between passive exposure, active research, owned channels, direct visits, and offline influence. MTA gives each decision a view of the journey that fits the job.

01 / ClickHigh intent

The signal you can see.

A first-party clickstream connects campaign, ad set, ad, visit, and order — across the customer journey, not inside one platform’s reporting window.

02 / ViewVerified exposure

The influence clicks miss.

Clicks & Deterministic Views blends high-intent actions with platform-verified impressions, so upper-funnel channels can earn fair fractional credit without duplicating the order.

03 / SurveyInvisible influence

Ask the customer what the pixel could not know.

Total Impact combines the tracked journey with post-purchase survey data to surface channels such as podcasts, influencers, word of mouth, TV, and AI discovery — then weights the full revenue picture.

Journey signalTracked + remembered
01ViewAwareness begins without a click.
02ClickThe measurable journey takes shape.
03DirectThe customer returns on their own.
04OrderThe survey recovers the missing influence.
Model outputInvisible influence receives a measurable weight.
02 / Model lab

One journey.
Eight decision lenses.

Seven model families, with Linear available in All and Paid variants. Switch the lens without rebuilding your data or accepting one black-box answer for every decision.

A set of distinct precision instruments representing multiple attribution lenses.
01 / 08Clicks & Deterministic Viewsball paths · live
Clicks + verified impressions

Clicks & Deterministic Views

Fractional credit is shared across eligible first-party clicks and deterministic views, then normalized so each order is counted once. Built for blended cross-channel optimization where awareness and intent work together.

Best forCross-channel budget and creative decisions
Revenue viewReconciled / deduplicated
PPS influenceNo
View signalDeterministic
03 / View-through attribution

See influence.
Not platform mythology.

Clicks & Deterministic Views joins first-party clickstream with verified impression-to-order data from participating platforms. Views and clicks compete for fractional credit inside one customer journey.

Click half-life
7d
Higher-intent influence decays more slowly.
View half-life
1d
Passive exposure fades faster.
Verified platform joins sequence live
MMetadeterministic view
TikTokdeterministic view
PPinterestdeterministic view
VVibedeterministic view
AAppLovindeterministic view
Normalized1 journeyclicks + eligible views
Credit ledgerEvery touch competes. Every order reconciles.
Click 46%View 31%Click 23%
Output1 order

Click data updates in real time. Deterministic view data refreshes daily, excludes current-day views, and can take up to 48 hours to begin processing after enablement.

04 / Total Impact

When the customer knows
what the browser never saw.

Total Impact weights first-party click data with zero-party post-purchase survey signal, so revenue can reflect the marketing that created demand — including channels that never generated a measurable click.

Ask after the order

What led you to purchase today?

Meta or Instagram
Podcast or creator
Friend or word of mouth
Search or research

Use Triple Whale’s PPS or connect Fairing or Kno. The model needs at least seven days of survey response data; 28 days is recommended for budget planning.

Weight the whole mix

100% of business sales, redistributed by impact.

Survey frequency adjusts channel weight. The model continuously incorporates new signal and is best used for multi-channel planning rather than same-day campaign reaction.

05 / Freshness

Decisions move at the speed of the signal.

Triple Pixel connects qualifying ad clicks to orders as they happen. The Live Orders view updates with new purchases and their attribution. Deterministic view data follows its own daily refresh cadence.

Clicks + qualifying ordersReal time
Deterministic viewsDaily
Live order attribution
● streaming
18:20:04 Meta / prospecting$184.00
18:19:57 TikTok / video view$92.00
18:19:43 Google / search$246.00
18:19:21 Podcast / survey$128.00
18:18:55 Meta / retargeting$74.00
18:18:31 Pinterest / view$311.00
06 / Closed loop

Measurement is only half the system.

Triple Whale measures the journey, enriches first-party events with commerce context, and can transmit better server-side signal back to the platforms that optimize delivery.

Measure / independent truth

Understand what earned the order.

01Triple Pixel captures the first-party click journey.
02Deterministic views extend the paid-media story where supported.
03PPS adds the influence customers remember but tracking missed.
04Your selected model assigns credit for the decision at hand.
Enrich / improve the next delivery

Give the platforms a better signal.

01Sonar enriches events with connected commerce and customer data.
02Events transmit server-side through Meta CAPI or TikTok Events API.
03Meta Attribution Passback sends supported model credit as UpdatePurchase events.
04Platforms receive a more complete view for targeting, matching, and optimization.
Important product boundary: the measurement layer can include deterministic views, while attribution passback support varies by platform and model. Meta currently recommends First Click, Last Click, or Linear for Custom Attribution; Total Impact is not currently supported. TikTok attribution metadata can be enabled while platform-side optimization support continues to roll out.

The signal is only complete
when the stack is connected.

Triple Whale offers 60+ pre-built integrations spanning commerce, paid media, retention, surveys, warehouses, and operational systems — plus custom-signal ingestion for business context unique to your company.

Paid + affiliate media

Every ad channel in one operating view.

23verified connections

Current official coverage includes the established paid-media stack plus newer Walmart Connect and OpenAI Ads connections. OpenAI Ads is currently marked under partner review in Triple Whale documentation.

Meta AdsAds, views, CAPI + passback
Google AdsSearch, Shopping, YouTube + PMax
TikTok AdsAds, deterministic views + Events API
Pinterest AdsCampaign data + deterministic views
Snapchat AdsCampaign delivery + attribution
X AdsSpend, delivery + campaign data
Microsoft AdsBing search + audience campaigns
Amazon AdsSeller Central + advertising performance
LinkedIn AdsB2B campaign performance
Reddit AdsCommunity campaign performance
AppLovin / AxonCampaign data + deterministic views
VibeCTV campaign data + deterministic views
MNTNConnected-TV performance
TaboolaNative advertising campaigns
OutbrainNative advertising campaigns
CriteoCommerce-media performance
StackAdaptProgrammatic campaign data
AdRollRetargeting + campaign performance
RoktTransaction-moment advertising
OpenAI AdsChatGPT ad spend + delivery metrics
Walmart ConnectSponsored Search + Display
AwinAffiliate campaign performance
ShareASaleAffiliate campaign performance
Commerce + survey + warehouse + custom signals

The context behind the media signal.

9context inputs shown

Beyond pre-built connections, Triple Whale can ingest business-defined events and attributes as custom signals, so media performance is interpreted alongside the proprietary context that matters to your business. Custom context enriches analysis; it does not automatically become attribution credit in every model.

ShopifyCommerce + order truth
BigCommerceCommerce + enrichment
WooCommerceCommerce + order data
KlaviyoEmail + SMS context
FairingPost-purchase survey signal
KnoCommercePost-purchase survey signal
BigQueryWarehouse connectivity
SnowflakeWarehouse connectivity
Custom signalsBusiness-defined events + attributes
07 / Customer evidence

When the model changes,
the media plan changes.

Public Triple Whale customer stories show how broader measurement reveals undervalued channels, improves confidence, and changes daily optimization.

Cozy Earth / attribution
9.5×

increase in ROAS for a scaled Facebook DABA campaign after using advanced attribution and survey-informed analysis.

“Triple Whale is just day and night better. It saves me so much time in jumping between platforms, as well as understanding what different channels are doing.”
Public Triple Whale case study
Travelpro / marketing efficiency
+24%

MER improvement, from 5.9 to 7.3. Survey data also revealed the impact of NYT Wirecutter discovery.

“The ability to have a variety of different models at one click — last click, first click, Triple Attribution, plus view-through — is really helpful.”
Public Triple Whale case study
Hat Club / TikTok
+413%

TikTok-attributed revenue uncovered with Clicks & Deterministic Views versus click-only measurement.

“Clicks & Deterministic Views has caused us to see TikTok as an entirely separate emerging channel.”
Public Triple Whale case study
Ekster / model comparison
Side by side.

Proprietary models and in-platform reporting in one place, so the team can compare attribution methods instead of arguing from separate dashboards.

“What I appreciate about Triple Whale is that it displays both its proprietary models and in-platform performance data, allowing us to compare different attribution methodologies.”
Public Triple Whale case study
08 / Questions

Pick the model for the decision — not the dogma.

Triple Attribution or Last Click with a short click window is designed for same-day or day-to-day campaign decisions. Total Impact is better reviewed over at least seven days, while Clicks & Deterministic Views is especially useful when verified view-through influence materially changes channel or campaign performance.

No within its own model output. Credit is fractional and normalized so each actual order is counted once. Recent periods can still drift while deterministic view data refreshes, and dashboard filters, date basis, subscriptions, refunds, or pixel matching can create expected differences from Shopify.

Total Impact is the model that uses survey responses to adjust channel weights. Triple Whale’s survey, Fairing, or Kno can provide the signal. At least seven days of response data is required; without sufficient PPS data, Total Impact behaves more like Linear All.

First-party click tracking and qualifying order attribution update in real time. Deterministic view data is shared through daily bulk updates, so it does not include current-day views and can take up to 48 hours to start populating after enablement.

Not universally. Sonar sends enriched first-party events back to Meta and TikTok server-side. Attribution metadata or passback support depends on the platform and model. Meta’s Custom Attribution passback currently recommends First Click, Last Click, or Linear; Total Impact is not currently supported. TikTok attribution metadata can be sent while platform-side optimization support continues to develop.

The next decision deserves the full journey

Stop measuring the last click.
Start measuring the business.

See how Triple Whale connects attribution, customer signal, and platform enrichment in one operating layer.

Book a demo