Overview
For many DTC businesses, customer journeys include both direct clicks and passive ad exposures. Traditional attribution models often undervalue upper-funnel activity (like ad views), while overvaluing last-click interactions from owned or direct channels.
The Clicks & Deterministic Views attribution model blends clicks and view-throughs from participating ad platforms to capture the full picture of channel influence. By combining high-intent actions (clicks) with qualified exposures (views), the model delivers more accurate and fair credit distribution across marketing channels.
Participating view-through platforms: Meta, TikTok, Pinterest, Vibe, Axon
Who Finds This Model Most Useful
Paid social-heavy advertisers (Meta, TikTok, Pinterest): Capture influence from impressions that don’t result in immediate clicks.
Multi-channel marketers: Prevent channels like email or direct from stealing all credit when paid ads influenced the journey.
Growth-stage brands investing in awareness: Attribute upper-funnel campaigns that often drive incremental new customers.
Creative/video-focused advertisers: Recognize impact from campaigns where engagement happens visually, not through clicks.
Note: This model is less critical for search-heavy advertisers, where most conversions already originate from bottom-funnel clicks.
What’s Included (Data Sources)
Clicks: First-party pixel clickstream joined to orders.
Deterministic Views: Platform impression → order joins (Meta, TikTok, Pinterest, Vibe, & Axon), refreshed daily.
Other channels: Channels without view-sharing still participate, though their clicks may naturally earn more credit.
Attribution Behavior
In the Clicks & Deterministic Views model:
Eligible Touchpoints: Both ad clicks and the most recent ad view (when no click occurred) are eligible for attribution credit.
Time Sensitivity (time-decay): Credit decreases the further a touchpoint is from the conversion, using a time-decay algorithm applied per touchpoint type:
Clicks: credit is halved every 7 days.
Views: credit is halved every 1 day.
This reflects that view influence fades faster than click intent, and ensures recent, higher-intent touches carry more weight in the final attribution.
Channel Role Awareness: Owned and demand-capture channels (e.g., coupon code sites) may receive reduced or no credit when preceded by higher-funnel interactions, reflecting their assistive rather than initiating role.
Fractional Attribution: Credit is proportionally shared across all eligible touchpoints, and normalized so that each actual order is counted exactly once in the final attribution output.
Example A - Cross-Channel: Pinterest View + Meta Click
A shopper sees a Pinterest ad, then later clicks a Meta ad before purchasing.
How the model handles it: Both touchpoints get credit. The Meta click receives the major share (reflecting higher intent), while the Pinterest view receives a smaller assist for influencing the purchase.
Example B - Same Channel: TikTok View + TikTok Click
A shopper views a TikTok ad earlier in the week, then clicks a different TikTok ad before purchasing.
How the model handles it: Both the view and the click count. The click receives the majority of credit as the final, high-intent action, and the view still retains partial credit for its earlier role.
Example C - Paid View + Owned/Direct Click
A shopper views a Meta ad, then later clicks an email link from your brand and makes a purchase.
How the model handles it: The Meta view retains partial credit for influencing the conversion. The email click receives a smaller share (because owned channels don’t override paid influence in this model).
Example D - Paid View + Direct Visit
A shopper views a TikTok ad, then later goes directly to your site and purchases without clicking any ad.
How the model handles it: The direct visit receives no credit, and the TikTok view receives full credit for the conversion because it’s the only eligible paid touchpoint.
Comparison to Triple Attribution + Views
Triple Attribution + Platform Views: Starts from a last click per platform base, then appends platform-reported view-throughs.
Clicks & Deterministic Views
Integrates clicks and deterministic views directly into each customer journey.
Normalizes credit across touches (no “double counting”).
Produces a blended, cross-channel perspective where clicks and views compete for influence.
Guardrails & Considerations
⚠ Attribution window is not configurable for Clicks & Deterministic Views. The model uses its built-in time-decay algorithm (see Attribution Behavior) instead of a fixed lookback window. If you previously selected an attribution window (e.g., 7-day, lifetime) while using another model, that selection may still appear in the menu when C&DV is active, but it has no effect on C&DV's attribution calculations. Differences you see across users are cosmetic carryover from prior model selections, not a difference in the underlying numbers.
Deduplication ensures multiple views from the same ad are reduced to the most relevant one. If a view and a click are recorded for the same ad, only the click will be eligible for credit.
Demand Capture channels receive less credit in scenarios where a prior ad touch is recorded
Direct/owned clicks don’t overwrite prior paid touches.
When Should I Use Clicks & Deterministic Views?
Use Clicks & Deterministic Views when:
You are looking for a more holistic, blended performance model across channels.
Your brand is spending on Meta, TikTok, or Pinterest.
For in-channel optimizations when your campaigns have significant view-through conversions in addition to clicks.
Limitations
Delay when enabling: Up to 48 hours before view data begins flowing.
Daily refresh: View data updates once per day; current-day views aren’t included.
No per-user drilldown: Journeys involving views remain aggregated to protect privacy.
Dependence on platform view data: Reporting may lag or be incomplete.
Not all platforms supported yet (e.g., YouTube, display).
Setup and Requirements
To use Clicks & Deterministic Views Attribution, you must:
Install the Triple Pixel on your site.
Configure Triple Whale tracking parameters in your ad campaigns.
Connect supported channels (Meta, TikTok, Pinterest, Vibe, & Axon) to Triple Whale.
Enable two-way data sharing consent in the app at: app.triplewhale.com/clicks-and-views-attribution
If you connected TikTok to Triple Whale prior to January of 2025, you may need to disconnect and reconnect the integration in order to upgrade your connection to support view data matching. Simply navigate to https://app.triplewhale.com/integrations, locate your TikTok integration, and click 'disconnect' and 'reconnect' to complete your upgrade.
Frequently Asked Questions
Q: Why include views?
Deterministic Views capture upper-funnel influence. Without them, awareness channels are undervalued in click-only models.
Q: Will email and SMS still get credit?
Yes, but they won’t overwrite prior paid touches.
Q: Why can't I see view data for 'today'?
View data is shared through daily bulk uploads on each day for the day prior. For this reason, if you are viewing the current day, it will not include view touchpoints in the attribution calculation.
Q: Does this replace platform reporting?
No. Platform-reported conversions still display alongside model attribution for transparency.
Q: Why do I need to reconnect TikTok to access this model?
Clicks & Deterministic Views relies on our updated TikTok integration. Reconnecting upgrades your account to the new API, which provides improved GMV metrics and ensures attribution compatibility. No historical data is lost.
Q: Does Clicks & Deterministic Views replace Total Impact for cross-channel analysis?
Not entirely. Clicks & Deterministic Views is primarily a cross-channel model, so it can serve as a replacement for Total Impact (TI) in that context. However, TI is still recommended if a brand runs non-click-generating channels, such as awareness or offline campaigns. This will remain true until more view integrations are added.
Q: What about in-channel optimization? Does Clicks & Deterministic Views replace TA+V?
In the event that a campaign has significant levels of View Through Conversions, Clicks & Deterministic Views is better than TA+V for in-channel optimization across platforms like Meta, TikTok, and Pinterest. It distributes credit across campaigns and includes both click and view data.
Q: Can I change the attribution window for Clicks & Deterministic Views? Why do I see a different window than my teammate?
No, the attribution window is not configurable for Clicks & Deterministic Views. C&DV uses a time-decay algorithm rather than a fixed lookback: click credit is halved every 7 days, and view credit is halved every 1 day. If you or a teammate previously selected an attribution window (7-day, lifetime, etc.) under a different model, that selection can still display in the menu when C&DV is active, which is why different users may see different windows. The C&DV numbers themselves are calculated the same way for everyone, the displayed window does not affect the math. To compare reports cleanly across users, switch to Triple Attribution or another model where the window is respected.