Overview
Once your integration is active, you can use Rockerbox’s attribution models to evaluate how MNTN Performance TV contributes to conversions, revenue, and cross-channel performance.
This article explains where to find MNTN data in Rockerbox and how to interpret it.
Review Rockerbox Reports
Within the Rockerbox platform, evaluate MNTN data in your Cross-Channel Report (Attribution > Cross-Channel Report), alongside all your other digital channels.
💡 Tip: If you ever need help reading performance across the MNTN and Rockerbox platforms, do not hesitate to reach out to a member of the MNTN Support Team.
Compare MNTN performance against your overall efforts, or isolate only MNTN data by typing "MNTN" into the Search bar.
Toggle between different attribution models to see the the difference in conversions and revenue.
See here for more information on the different Rockerbox attribution models.
Toggle between key metrics to see how performance is trending day-over-day.
📝 Note: Keep in mind that spend data will have a 1 day lag, so ROAS and CPA performance will not be updated for the present day.
How Rockerbox Attributes MNTN Performance
Like any other attribution platform, Rockerbox will assign conversion and revenue according to their attribution window and the attribution model selected.
Conversely, MNTN will track all conversions and revenue from a targeted household within a 30 day window, following a Verified Visit.
See below for how the different attribution settings in Rockerbox may impact the performance data assigned to MNTN, and therefore result in expected discrepancies between Rockerbox and MNTN.
Rockerbox Attribution Models
Rockerbox will assign credit to different touch points based on where they land in the user journey or how impactful they were at driving a conversion.
📘 Example: For instance, this may be fractional credit based on how influential a touchpoint was in driving the conversion (modeled multi-touch), or full credit only to the last touchpoint before a conversion (last touch).
There are 4 different Rockerbox attribution models: Modeled Multi-Touch (most common), first touch, Last touch, even weight. For more information on each of these models, check out Rockerbox's default attribution models.
Rockerbox Attribution Window
With our current integration, Rockerbox assigns a 220 day conversion attribution window following a visit event for MNTN campaigns.
Differences Between MNTN & Rockerbox Attribution
MNTN | Rockerbox |
Attributes all conversions from a household following a verified visit | Uses Multi-Touch, fractional attribution across all touchpoints in the customer journey |
Uses separate attribution windows for Verified Visits and Conversions | Uses a 220 day conversion window for attribution |
Focuses on household level influence | Focuses on channel-level credit distribution |
⚠️ Warning: MNTN will track all conversions and revenue from a targeted household within a 30 day window, following a Verified Visit. This can differ from Rockerbox's attribution models, leading to an expected discrepancy in performance.
Like any multi-touch attribution model, this discrepancy can be very dependent on all the other channels you might be running. For example with Modeled Multi-Touch - if there are many touch-points in the user journey, then the fractional attribution credit will get split up into smaller amounts per channel, potentially leading to a larger discrepancy against the MNTN platform.
MNTN Performance Ramp-up in Rockerbox
Keep in mind that ramp up time for MNTN performance in Rockerbox may take longer than other multi-touch attribution platforms (such as Google Analytics). This is due to the longer attribution window assigned to all digital channels.
Rockerbox assigns fractional conversion credit (under the default modeled multi-touch) for all marketing touchpoints under this longer window, so for newer channels, it may take some time to ramp-up to expected volume of tracking marketing touchpoints in the user journey.