Editorial Team Figuring out the ROI on emerging channels is a huge headache for marketers in 2026. Your old attribution models just don’t work, so you’re left guessing where your budget is actually doing anything. It’s almost impossible to confidently spend money on new platforms when you can’t nail down what they’re contributing to the bottom line.
Key Takeaways
- Before you launch, define what success actually looks like with hard numbers for every emerging channel campaign.
- Get your tracking straight from day one with custom UTM parameters and by digging into the platform’s own analytics to get detailed data.
- Use multi-touch attribution models (like time decay or U-shaped) to give these early-funnel channels the credit they deserve in the customer journey.
- Isolate a channel’s real impact by running controlled tests, like A/B splits or geo-experiments, on your ad spend.
- When you report on ROI, show the direct cash return but also talk about the long-term brand value you’re building.
1. Define Clear, Measurable Objectives and KPIs
Before you spend a dime on some new channel, you have to define what “working” means. You need specific, quantifiable targets, not fuzzy goals like “brand awareness.” For instance, if you’re experimenting with interactive augmented reality (AR) ads inside a shopping app, a real objective is to hit a 15% increase in product page views from AR interactions in Q1. Another goal could be a 10% uplift in in-app purchases for users who engaged with the AR experience versus a control group that didn’t see it. Every objective has to be SMART: Specific, Measurable, Achievable, Relevant, and Time-bound. Without these targets, the data you collect is just noise that’s impossible to interpret for ROI.
Think about it for a new voice search optimization strategy. A solid objective could be driving a 20% increase in qualified leads from voice search queries, measured by form fills over a six-month window. You have to think about the entire funnel. Some of these new channels are great for top-of-funnel awareness, while others might actually be good at the consideration or conversion stages.
Pro Tip: Tie your emerging channel objectives to the company’s main business goals. If the business wants to grow market share by 5%, you need to explain how your new channel experiment helps hit that number. This is how you get executives to sign off on the budget and show you’re not just playing with shiny new toys.
2. Implement Strong Tracking and Attribution
Once your goals are set, you have to track everything. This is where a lot of marketers screw up, especially when a platform’s analytics tools are half-baked. You have to be a stickler for using custom UTM parameters on every single link. That means adding source, medium, campaign, content, and term tags. For example, a link from a new social audio campaign might look like this: www.yourbrand.com/landing-page?utm_source=social_audio_app&utm_medium=podcast_ad&utm_campaign=winter_promo_2026&utm_content=episode_3_mention. This kind of detailed tagging is the only way you can effectively segment your traffic in platforms like Google Analytics 4 (GA4) and know for sure where people came from.
Beyond UTMs, dig into the platform’s own analytics. Many new platforms offer at least some internal data, even if it’s basic. If you’re running ads on a new short-form video app, you need to understand its native reports on views, engagement, and clicks. Whenever possible, you should get this data into a central dashboard. You might want to look into a customer data platform (CDP) to pull all your disconnected data sources into one place, giving you a full picture of customer interactions across every touchpoint.
Common Mistake: Just using last-click attribution. It’s the easiest path but it’s wrong. Emerging channels almost always show up early in the customer journey, so last-click models give them zero credit and make your ROI calculations look terrible. You need a more sophisticated approach.
3. Select Appropriate Attribution Models
This is probably the most important part of measuring ROI for these new channels. As I said, last-click attribution is not enough. You need to be using multi-touch attribution models. Inside GA4’s “Advertising” section, under “Attribution settings,” you’ll find options like linear (which gives equal credit to all touchpoints), time decay (which gives more credit to recent touchpoints), and position-based (which splits credit between the first and last interactions). For emerging channels, a time decay model is often a good fit because it gives some credit to the channel for introducing the brand early on, even if the sale happened weeks later from a search ad.
Another option is data-driven attribution which uses machine learning to figure out how much credit each touchpoint should get based on your actual customer data. It automatically adjusts to show how different channels influence conversions, making it far more accurate than a fixed, rule-based model. The catch is that you need enough conversion data for it to work properly, so it might not be an option right away for a brand-new channel with no history. But once the data starts rolling in, it’s incredibly valuable.
An IAB report on attribution modeling found that marketers see big improvements in media spend optimization when they move past last-click. This is about more than just justifying a new channel’s budget. It’s about making your entire marketing mix work better.
“Growth marketing teams need to connect AEO to acquisition metrics quickly enough to act on the signal and justify investment. The teams doing that now are building a playbook that will be much harder to replicate once the channel matures.”
4. Conduct Controlled Experiments
When you’re trying a new channel, it’s tough to isolate its impact from everything else you’re doing. Controlled experiments give you the clearest proof of ROI. A simple A/B test is a common way to do this. For example, if you’re testing a new interactive ad format on a streaming platform, you can set up two audience segments. Group A sees the new ad, while a control group (B) sees a standard ad or nothing at all. Then you track KPIs for both groups for four to six weeks. If you kept all the other variables the same, the difference in performance is because of the new ad format.
A geo-experiment is another great technique. You pick two similar geographic areas, run the new campaign in one (the test market), and keep it out of the other (the control market). For instance, a brand could run a campaign on a new digital out-of-home (DOOH) network only in Atlanta, Georgia, while running business-as-usual in a comparable city like Charlotte, North Carolina. By comparing the sales data or website traffic between Atlanta and Charlotte, after you account for normal historical differences, you can estimate the actual lift from the DOOH campaign. This approach is really useful for channels where it’s hard to track individual users.
5. Calculate and Present ROI Holistically
The basic ROI formula is simple: (Revenue from Channel – Cost of Channel) / Cost of Channel * 100%. But for emerging channels, the value isn’t always just in immediate sales. You also have to think about the brand equity you’re building. Did the campaign get people talking about you on social media? Did your brand sentiment scores go up? These things are harder to put a dollar value on, but they’re real long-term benefits that feed future revenue.
When you present your ROI numbers, give them context instead of just showing a percentage. You have to explain the attribution model you used, the details of the experiments you ran, and any assumptions you made. For example, if a new channel drove a 5% increase in branded search, you should try to estimate what that means for future revenue. Good dashboards that mix financial data with these other insights are your friend. Use visuals like conversion funnels or journey maps that clearly show where the new channel fits in. Your goal is to inform future budget and strategy, not just to prove a single channel worked.
Pro Tip: Be prepared to report an initial negative ROI. New channels often take time and money to figure out before they start paying off. You have to frame those early losses as tuition, explaining what you learned and how you’re going to use those insights to optimize the next campaign. Being transparent about this stuff builds trust.
To successfully measure ROI for emerging channels, you need a mix of strategic planning, disciplined data collection, and smart analytics. By setting clear goals, tracking carefully, using the right attribution models, and running controlled tests, you can navigate the changing digital world and prove the real value of your work. This same strategic thinking is necessary for figuring out the impact of AI media buying on your marketing spend and for optimizing your digital ad spend. Getting a handle on these platforms is also how you keep your ad performance from tanking because of poorly-spent budget.
Why is last-click attribution insufficient for emerging channels?
Last-click attribution only gives credit to the final touchpoint before a sale. Emerging channels are often the *first* touchpoint, introducing a customer to your brand long before they’re ready to buy. Using a last-click model will always undervalue these early-stage interactions, making your ROI look worse than it is and leading to bad budget decisions.
What are some examples of “emerging channels” in 2026?
In 2026, we’re talking about things like advanced AR/VR ads in metaverse platforms, shoppable video during live streams, AI-powered conversational marketing, and hyper-local ads in smart cities that use advanced beacon tech. This space changes so fast, so you have to keep your eyes open for the next thing.
How can I track offline conversions influenced by emerging digital channels?
Connecting digital campaigns to in-store sales is tricky but doable. You can use unique promo codes or QR codes from a digital ad that are redeemed at the register. You can also just ask customers “how did you hear about us?” at checkout. Loyalty program data is another great way to match a digital user ID to an in-store purchase. Things like geo-fencing and foot-traffic analysis can also show if people visit a store after seeing a digital ad.
What if an emerging channel doesn’t have strong native analytics?
When a platform’s built-in analytics are weak, you have to focus on what you can control. First, be obsessive about UTM tagging on every link you post there. Second, use a unique landing page just for that channel’s campaigns so you can isolate its traffic. You should also watch your broader brand metrics, like direct traffic to your site, branded search volume, and social mentions. A sudden lift in those could be a sign the new channel is working, even if you can’t prove it with direct attribution.
How often should I review the ROI of emerging channels?
For new and unproven channels, you need to check in way more often than you do for something like paid search. In the beginning, look at the performance weekly, or even bi-weekly, so you can spot trends and fix things fast. Once the channel has been running for a while and the data is more stable, you can probably switch to a monthly or quarterly review. But you always need to be ready to pivot quickly if the platform or its audience changes.
