Home Content Studio Beyond The Click: The Value Of Full-Funnel, Omnichannel Measurement

Beyond The Click: The Value Of Full-Funnel, Omnichannel Measurement

SHARE:
Brian Brookhart, Senior Principal of Product Management, Amazon Ads

The customer journey is complex, with consumers interacting across 20+ channels and exposed to 4,000-10,000 ads daily before making a purchase. This fragmented landscape challenges advertisers to effectively measure impact across touch points to understand: How do marketing efforts across all stages of the customer journey contribute to overall business outcomes?

With high stakes in a competitive economic climate, brands that can reliably and accurately understand both the immediate and long-term impacts of their advertising efforts have the advantage.

But capturing this advantage demands moving beyond simple metrics to measure the outcomes and lasting impact across the consumer journey. And as traditional identifiers become less reliable, advertisers increasingly depend on partners with rich data signals and advanced technical capabilities. These partnerships can identify causal relationships, estimate advertising outcomes and gain a clear, comprehensive understanding of advertising impact – across all levels of the funnel and all channels of sales, online and offline.

Full-funnel measurement: understanding the customer journey

While conventional methodologies have served us well, they struggle to capture the full complexity of modern consumer journeys. Advertisers need new measurement strategies that offer more comprehensive insights, leading to better campaign optimization, more precise resource allocation and more impactful customer experiences throughout the purchase journey.

To unlock this potential of full-funnel measurement, the industry must explore new approaches that integrate data across touch points, measure long-term effects and reinforce nuanced marketing interactions with causal measures. Here are three of those emerging approaches:

  1. Vertical funnel analysis: from impressions to conversions
    Vertical funnel measurement expands the scope of analysis beyond surface-level metrics. While traditional methods might focus solely on impressions, clicks and conversions, this approach delves deeper, examining the progression from searches to brand engagements and ultimately to conversions and advocacy. By measuring across upper-, middle- and lower-funnel activities, advertisers gain a comprehensive full-funnel view of the customer journey.
  2. Omnichannel measurement: the all-seeing eye
    Omnichannel measurement serves as a dynamic radar, tracking ad impact across online and in-store interactions. Effective implementation requires integrating with third parties and using complicated attribution logic to avoid overstating results. However, when done well, omnichannel measurement can significantly improve understanding of marketing effectiveness and support better decision-making.
  3. Longitudinal closed-loop measurement: the retail media advantage
    An evolution of full-funnel measurement is quantitatively connecting the dots across the entire spectrum of customer interactions, from initial brand interest to final purchase and beyond. This longitudinal closed-loop system, pioneered by retail media networks like Amazon Ads, relies on large volumes of first-party signals and advanced measurement analysis to identify the most impactful paths, attribute credit based on causal influence and estimate long-term impact.

Key techniques in full-funnel measurement

Effectively implementing these three new approaches requires a combination of proven techniques that provide a comprehensive view of advertising effectiveness across the full funnel. Below are a few of these useful techniques for measuring the effectiveness of full-funnel media. Employing a mix of these capabilities will help drive lasting, long-term business outcomes.

  • Multi-touch attribution: As privacy regulations reshape advertising, legacy MTA products that relied exclusively on device IDs and rule-based attribution are becoming obsolete. Multi-touch attribution (MTA) models attribute credit to different ads along the path to a conversion. Advanced MTA models leverage billions of signals, machine learning and randomized controlled trials to establish true causal relationships with consumer actions.
  • Conversion paths: MTA tells us what advertising touch points are having an impact, but conversion paths reveal how they’re creating that impact. By visualizing the sequence of touch points that lead to conversions, we can identify the most effective paths and incorporate that into budget allocation and planning.
  • Long-term sales (LTS): Estimating long-term outcomes over extended periods provides a more representative view of advertising impact on brand growth. Understanding what ad products influence short-term and long-term sales helps brands derive more balanced media strategies and plans.
  • Marketing mix modeling (MMM): The industry is also experiencing a resurgence in marketing mix modeling (MMM). In 2024, 83% of agencies and 58% of brands plan to invest in MMMs. MMMs use aggregate historical time-series data across geographies to quantify the holistic incremental sales impact and ROI of both marketing and non-marketing activities, taking into account factors that impact sales beyond media. Since MMMs do not rely on device identifiers, they are a privacy-compliant source for cross-device and cross-media measurement.

 Embracing full-funnel measurement: What’s next?

The power of full-funnel measurement lies in leveraging the right signals and data-driven insights to inform actionable strategies. Robust full-funnel measurement relies on the ability to measure the contributions of different touch points, derive lasting impact and base outcomes on causal signals. Forward-thinking companies are taking steps that respect user privacy while responsibly utilizing data to drive results. By making pseudonymized and protected first-party signals as a cornerstone of this approach, organizations can now model and estimate total advertising outcomes with unparalleled precision and confidence.

As we move into this new era of measurement, the most successful advertisers will be those who can balance the need for detailed insights with a strong commitment to data privacy and responsible practices. By doing so, they’ll not only improve their marketing performance but also build stronger, more trusting relationships with their customers.

The future of full-funnel measurement is here, and the time for change is now: Advertisers who embrace full-funnel measurement will drive meaningful business outcomes and sustainable growth through deeper customer connections and elevated experiences.

 

Tagged in:

Must Read

SQREEM Touts The Large Behavioral Model – Not The LLM – As The Winning Predictive Engine

Rather than relying on machine learning, SQREEM uses a mathematical AI model to track how systems change over time and predict audience behavior.

Comic: Game Over?

The Google Antitrust Remedies Are Too Little, Too Late – But Publishers Will Take What They Can Get

Given how much the market has changed since the Google trial began, and the wiggle room in the ruling itself, publishers aren’t expecting much relief from the court’s behavioral remedies.

Comic: "Deal ID, please."

Can Sell-Side Curation Solve The Cookieless Audience Problem For Advertisers?

Indie agency KWG says sell-side curation can target more high-performing inventory with better match rates and lower data fees than buy-side curation.

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

Infillion Acquires Foursquare, Adding More Location Data To Its Ever-Growing Ad Tech Stack

Infillion checked in with its latest acquisition on Friday: Foursquare. Apparently, if there’s a strategically interesting or distressed ad tech asset on the market, Infillion will find it.

HBO MAX’s Reddit Account Was Compromised And Used For Ad Fraud

A week ago, HBO MAX had its verified Reddit account overrun by a hacker group, which eluded notice for two days while it ran 108 different ad permutations targeting an unknown number of Redditors.

Gaming Wants To Prove It’s Just Like Other Media Channels – While Also Owning How It’s Different

Adapting other channels’ strategies might be what gaming platforms need to do to get advertisers comfortable spending more. Leaning into gaming’s differentiators will come later, after bigger budgets arrive.