Home Data-Driven Thinking Will Cost Per Engagement Become The Go-To Metric For In-App Advertising?

Will Cost Per Engagement Become The Go-To Metric For In-App Advertising?

SHARE:

omerkaplanData-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is by Omer Kaplan, co-founder and CMO at ironSource.

Performance advertisers looking to acquire users for their apps traditionally considered cost per install (CPI) their key metric. But as both brand and performance marketers become more focused on incorporating clearer KPIs into their campaigns, we’re starting to see other metrics emerge and bridge the gap between brands and direct-response advertisers.

One example is cost per engagement (CPE), which offers a more nuanced pricing model than CPI. Based on specific engagement actions taken by a user once inside an app, it’s easy to see how CPE can appeal to performance advertisers wanting more than just an install. Mcommerce, dating, gaming or content-rich apps can pay only for specific actions taken within the app, such as completing a level or opening the app a certain amount of times, while brands can pay based on specific engagement with ads, such as hovering over an ad to expand it.

CPE can significantly increase the quality of the users being acquired – and therefore ROI. While costs rise proportionately to the quality and rarity of the user, many advertisers are comfortable paying higher CPEs because they believe that getting a user who has reached a certain level of retention or completed a certain amount of actions in their apps are likely to stick around for the long term and become ROI-positive.

CPE also lends itself to retargeting or re-engagement campaigns. Instead of paying a subscription for a re-engagement service, mobile marketers can run a CPE campaign based on inspiring dormant users to become active again by driving specific in-app engagements.

Upside For Brands

While CPE seems to be the mainstay of performance advertisers, it can also offer compelling advantages to brands looking to add measurability and transparency to their campaigns.

While clicks, conversions or other specific actions might not suit a brand looking for a high-impact campaign, measuring whether users are engaging with an ad at all can help brands evaluate the impact of an awareness campaign. More preventative than a cure, running CPE campaigns can also work as an effective barrier to fraud. Faking an engagement, while doable, is significantly harder than faking an install.

Moving forward, we may see CPE find success as a “performance lite” metric, with just enough performance built in to satisfy an increased focus on ROI and measurability.

The Future Of CPE

While promising, there are several obstacles that may inhibit widespread adoption of CPE. Engagement, for example, is a broad term. CPE can fall between the cracks of brand needs, which are impressions based, and performance KPIs, such as completed actions, purchases or subscriptions. CPE could potentially be undone by the broadness of its own definition.

For pure performance advertisers, an engagement is only valuable in the sense that it can be connected to a concrete KPI, such as a completed sale. In this context, CPE would get passed over for more clearly defined metrics, such as cost per action.

CPE could also become irrelevant for big brand marketers looking for high-impact campaigns that drive awareness and create a specific public perception, as opposed to particular engagements.

Since it’s reliant on post-install activity and data, CPE can also prove problematic for technology providers, as they work to build models that can convert between the CPE advertisers are willing to pay for the end-goal engagement – for example, $5 for each subscription post-install – and the CPM or CPI they are paying publishers to get in front of those users in the first place.

For example, an ad network would have to account for the thousand impressions they bought, calculate the conversion rate to installs and then calculate what percentage of those installs met the specific KPI set by the advertiser. It’s a game of inches, and since advertisers lack the ability to know in advance which traffic sources will bring high CPEs, success is dependent on effective optimization on the part of the tech provider.

Either way, in order for CPE to have any chance at becoming a go-to metric there will need to be greater transparency and more sharing of data between advertisers and technology partners. By sharing the right data, marketers will empower technology providers to optimize more effectively and drive more high-quality users.

Follow ironSource (@ironSource) and AdExchanger (@adexchanger) on Twitter.

Tagged in:

Must Read

Fox Announces Plans To Acquire Roku For $22 Billion

It’s long felt like a foregone conclusion that Roku would eventually get gobbled up by a much bigger fish. Now, the day has finally arrived.

What Platforms Say Will Bring Bigger Ad Budgets To Digital Audio

To close the gap between digital audio ad spend and audience engagement, audio platforms want to get more deeply embedded in omnichannel campaign planning tools.

AdExchanger's Big Story podcast with journalistic insights on advertising, marketing and ad tech

Programmatic TV Home Screens And Gaming Ads For Kids

How can companies put ads in new places without hurting the user experience? Smart TV makers, like Samsung, are adding programmatic ads to the home screen, and Roblox will now show ads to users under 13. We examine the trade-offs as platforms expand their ad footprint.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

This AI 'Brain' Wants To Get Rid Of The Grunt Work In Creative Campaigns

Innovid’s latest offering serves as the “brain” behind a company’s orchestration layer. Optimum says it reduces manual work and cuts down on execution time.

multiple sets of eyes

Amazon DSP Adds Adelaide’s Pre-Bid Attention Targeting

Advertisers can target high- and medium-attention ad inventory in Amazon DSP while filtering out low-attention placements and made-for-advertising sites.

Marketers Are Getting Used To AI In The Ad Stack

Marketers and media buyers are gradually getting more comfortable talking about ad campaigns they’re testing on large-language models like OpenAI’s ChatGPT.