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Reports & Alerts•Datascape•Dashboards•Assists

Assists dashboard

The Assists dashboard gives you a holistic understanding of your user acquisition campaigns. Get important insights into which campaigns, ad groups, and creatives are assisting conversions from your attributed channels. Understand how the role of assists develops over time to make actionable and impactful decisions.

Assists are an important part of piecing together the entire user story behind attribution and seeing the full value of all your marketing channels. Learn more about the role of assists in attribution and key terminology.

You can use the Assists dashboard to:

Drill-down with full granularity to discover which ad groups and creatives assist each other.
Understand the types of engagements that assist your users' journey to your app.
Know which channels bring the most value in attributed and assisted installs.

Data availability on the Assists dashboard

Data from self-attributing networks

With self-attributing networks, Adjust uses API calls rather than links to send information to the network. Adjust sends SANs every app session our SDK reports. If the network recognizes the activity, they claim the attribution (called self-attribution) by sharing the details from the last ad engagement on their side. Adjust then uses the engagement data we have from all networks (including non-SANs) to attribute the install to the last known engagement source.

Since this attribution flow with SANs works differently to other channels, Adjust has different levels of visibility into the various areas of assist data.

Full visibility into other channels assisting SANs

With the Assists dashboard, you can see the full extent to which SANs are being assisted by other networks. This lets you understand the comparative performance of other networks in producing engagements which resulted in a conversion on a SAN platform.

No visibility into SANs self-assisting

Adjust cannot report the extent to which SANs assist themselves. Since we only receive attribution claims from SANs, we don't know what happens on their platform prior to this. As a result, Adjust cannot report on other engagements that may have assisted the attribution.

Limited visibility into SANs assisting other channels

Adjust does not always accept attribution claims from SANs. When another network provides a stronger engagement, we attribute them instead. In these cases where we reject the self-attributed network's attribution claim, we report this as assist data.

Important:

Some SANs are an exception to this rule and we have full visibility on both self-assistance and the SAN assisting other networks. For example, this is the case with TikTok.

Filtering with Attribution type

The Attribution type filter only relates to the attributed engagement, not to the assisting engagements.

If you select click as the only attribution type, you will only see engagements that assisted clicks.
If you select impression as the only attribution type, you will only see engagements that assisted impressions.

It's likely that applying the attribution type filter to clicks will hardly have an impact, because nearly all attributed engagements are clicks. If you apply the filter for impressions, you will see severely limited amounts of data.

Assist metrics

These Adjust metrics help to measure the role different engagements play in assisting app installs.

	Definition	Formula	API Metric ID
Assisted Installs	The number of app installs that qualified for attribution but were not selected. Organic users do not have any engagement with an Adjust link, therefore are not considered as assisting an install.		assisted_installs
Assisting Engagements	All of the user touchpoints that were considered, but not awarded the attribution. These can be clicks or impressions, but must fall within the link's attribution window.		qualifiers
Assisting Impressions	All of the user impressions that were considered, but not awarded the attribution.		impression_based_qualifiers
Assisting Clicks	All of the user clicks that were considered, but not awarded the attribution.		click_based_qualifiers
Average Engagements per Assisted Install	The average number of engagements that assisted an install.	`Assisting Engagements / Assisted Installs`	qualifiers_per_assisted_installs
Average Impressions per Assisted Install	The average number of impressions that assisted an install.	`Assisting Impressions / Assisted Installs`	impression_based_qualifiers_per_assisted_installs
Average Clicks per Assisted Install	The average number of clicks that assisted an install.	`Assisting Clicks / Assisted Installs`	click_based_qualifiers_per_assisted_installs
Assisting Clicks for Reattributions	All of the user clicks that were considered, but not awarded the reattribution.		click_based_reattribution_qualifiers
Assisting Impressions for Reattributions	All of the user impressions that were considered, but not awarded the reattribution.		impression_based_reattribution_qualifiers
Assisting Engagements for Reattributions	All of the user touchpoints that were considered, but not awarded the reattribution. These can be clicks or impressions, but must fall within the link's reattribution window.		reattribution_qualifiers
Assisted Reattributions	The number of app installs that qualified for reattribution but were not selected.		assisted_reattributions
Non-Assisted Installs	The number of app installs that had no qualifying touchpoints within the attribution window prior to the attributed engagement. Organic users do not have any engagement with an Adjust link, therefore are not considered as assisting an install.	`Installs - Assisted installs`	non_assisted_installs

Widgets

Assisted share of paid installs - See your total number of installs over time with a breakdown between those that were assisted and those that were not.
Assisted share of attributed network installs - Check the best or worst performing networks according to number of installs, with a breakdown between assisted and non-assisted.
Assisting engagements by assisting network - See the best and worst performing networks according to the number of assisting engagements they generate.
Average assisting engagements per assisted install - Get insight into your networks' total performance by showing you how many assisting engagements each network needs before users convert.
Assisting engagement trends by assisting network - View the performance of different assisting networks over time, based on the number of assisting engagements they generate.
Level breakdown for assisted installs - Analyze your data at all four campaign-levels to see which channels have been most successful in supporting other channels.
Assisted install engagement metrics - Drill down into your data to the engagement level, and see how many ads users saw before they were converted via another channel.
User paths - Get a visualization of the most common paths in your customer journey, including both the assisting engagements and the attributed engagement, grouped by the network generating the engagements.