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Evolving Display Advertising Through PDCA. Continuously Optimizing to Achieve Results.

Following Part 1, we asked Mr. Yasuhiro Matsuno and Mr. Hiroyuki Tamura of Nextedge Dentsu Inc. about device considerations when delivering display ads and post-delivery optimization through PDCA cycles. What key points should be considered in actual operations to drive results?
*Nexedge Dentsu Inc. became "Dentsu Digital Inc." on July 1, 2016.

■Smartphone? PC? Effective Display Ad Usage Tailored to Each Device

──Are there devices that are more or less compatible for delivering display ads?

Tamura: Yes, there are. Take job recruitment campaigns, for example. The KPIs are member registration and job applications. For member registration, smartphones have a significantly higher conversion rate and lower CPA. Conversely, for job applications, PCs have a higher conversion rate and lower CPA. Member registration involves fewer fields to fill out, making it convenient on smartphones. Job applications, however, require filling out more detailed information like career sheets, making PCs more suitable.

Understanding these device-specific characteristics allows us to focus promotions on smartphones for registrations while reliably capturing applications via PCs.

Matsuno: I feel smartphones are becoming a crucial channel. Especially for e-commerce sites focused on low-involvement products like inexpensive daily goods, and clients requiring member registration, the majority of conversions now come from smartphone ads.

The dominant trend in smartphone display ads is clearly the "in-feed" format. "In-feed" is a type of "native advertising" that appears between articles on social media or curated media sites. Yahoo! also uses this format, and in our actual case studies, we've seen significantly higher efficiency compared to PCs in many instances.

Furthermore, even for products perceived as "inefficient on smartphones, not leading to conversions," there are actually many cases where "users see the ad on their smartphone and then complete the final conversion on a PC." This highlights the importance of a cross-device approach.

In accounts we managed, when smartphone conversions were set at 100, cross-device conversions—where users viewed on smartphone and purchased on PC—added approximately 10 to 20 conversions. This prompted a reassessment of smartphone ad effectiveness. Google is now able to capture this data as well.

ポイント:「スマートフォンで広告を見て、最終的なコンバージョンはPCで行う」というケースが多くあるので、クロスデバイスの考え方は大事

■Continuous improvement for better ads

──Please explain the process after display ads are delivered.

Tamura: In PDCA terms, the process involves Plan and Do before delivery, followed by Check (evaluation) and Action (improvement) afterward. For display ads, we create multiple variations by altering elements like the catchphrase, color, or banner size. We then select the most effective ones, ultimately retaining those with the highest conversion rates to refine them into optimal creatives. We cycle through PDCA as quickly as every week or even daily (!). That said, we never fixate on the last surviving display ad. We constantly generate new ideas, always aiming for something better. So, it never ends (laughs).

Matsuno: Regarding Check (evaluation), while we sometimes receive requests from clients, we actually have more opportunities to proactively propose changes. We constantly think, "What if we tried this? It might boost effectiveness," and we do it with excitement. I think of effectiveness verification as being like conducting experiments.

──Regarding the Check (evaluation) phase, what aspects do you focus on when verifying effectiveness?

Matsuno: There are three main points. First is formulating hypotheses. We consider what might happen if we target a different segment in addition to the ones we've been using. For example, with smartphones, we might hypothesize that conversion rates could increase during commuting hours or lunch breaks. Once we establish such hypotheses, we verify them by comparing them with actual data.

Second, clearly defining "which metrics to verify and along which axes." We precisely decide which metrics to track—clicks, CTR, conversions, CPA, etc.—and determine whether to compare via period verification (before/after the initiative) or conduct A/B testing with simultaneous delivery. Once decided, consistency is crucial, so we strive to reach full agreement with the client before proceeding.

Finally, it's crucial to alternate between macro and micro perspectives. If a single-day test shows only marginal results, try a week-long test. If overall effectiveness improves, break it down to segments or creatives to pinpoint the most impactful elements. The final review is vital; steadily accumulating this know-how is how we improve results.

ポイント:PDCAはマクロ視点とミクロ視点を交互に見ることが重要

Tamura: What I focus on is not just committing to client requests, but clearly establishing whether the requested cost per acquisition (CPA) is derived from the client's sales figures and is reasonable. For example, if a client requests a CPA of ¥10,000, and I feel it's unreasonable, I calculate and present what I consider a reasonable CPA. I believe thoroughly aligning on this point solidifies the core KPI.

■Overall optimization boosted conversions by 1.7 times

──Could you share a specific case where display ads drove results?

Matsuno: This involves an automotive client. The conversion was a used car appraisal request. They switched from another vendor to us. Initially, they were running ads across about seven different display networks. There was a strong desire to "try new things," but the budget allocation and usage strategy for each network were unclear.

So, we first took a macro view to oversee all seven networks and then individually tuned them. Using a trading desk approach, we implemented rapid PDCA cycles on a daily to weekly basis while maximizing efficiency on each individual network. We stopped underperforming networks and those with overlapping delivery networks, optimizing the overall budget allocation.

Subsequently, we took a micro-level approach to deeply refine each display ad creative. Developing banners with gimmicks to make products stand out improved CTR and conversion rates. Within about five months, performance increased by 1.7 times. I believe alternating between the macro and micro perspectives, as mentioned earlier, is what delivered these results.

ポイント:マクロ視点とミクロ視点を交互に見ながらPDCAを行い、コンバージョンが1.7倍に

Tamura: I have a real estate case study. That client was using "dynamic creative" from another vendor, which dynamically generated banners based on users' product browsing history. However, the challenge was that as the ad spend increased, the CPA efficiency deteriorated.

First, we verified and reset the established goals to ensure they were appropriate, then recalculated the budget required to reach the target acquisition volume. Next, we reviewed the account settings, which had been difficult to monitor, including refining the targeting. Finally, we expanded delivery to broader user segments upstream. The result was a doubling of acquisitions while maintaining the same budget.

■The Evolution and Future of Display Advertising

──Finally, how do you think display advertising will evolve from here?

Tamura: A commonly cited trend is the increase in users researching on smartphones but completing conversions on PCs. Without properly analyzing this pattern, it could lead to conclusions like, "Smartphones have poor conversion rates, so let's stop using them." But that's incorrect.

For example, Google offers reporting features that enable cross-device tracking via Google IDs. These features estimate conversions based on collected anonymous data, allowing reporting on scenarios where someone researching on a smartphone ultimately converts via PC. I believe such analysis will become increasingly precise going forward.

Matsuno: This isn't limited to display ads, but as we gain deeper insights into digital data, we can consider conversions not just between smartphones and PCs, but also between digital and physical stores, for example.

Google's latest advertising platform features now integrate with Android smartphone users' location data to show whether someone who clicked an ad visited a physical store—essentially providing an "estimated store visit count." Furthermore, for companies that already have customer membership programs, by having users download an app with a points card function, it becomes possible to track whether someone who visited the site or app via an online ad actually purchased a product in-store.

In other words, we're moving toward a world where data can capture each user's "actions beyond the web screen." In that sense, digital advertising—and indeed the very concept of marketing itself—will likely expand and grow significantly.

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Author

Yasuhiro Matsuno

Yasuhiro Matsuno

Dentsu Digital Inc.

Joined Dentsu Inc. in 2010 and participated in establishing a digital-specialized group company in 2013. Responsible for digital marketing consulting primarily for e-commerce, financial services, automotive, and health food industries. Drives comprehensive data-driven marketing execution—from SEM, display advertising, and creative PDCA operations to performance optimization using advanced techniques like tag management, data feeds, attribution analysis, and various tool implementation support—as well as integrated planning combining mass media and digital advertising.

Hiroyuki Tamura

Hiroyuki Tamura

Dentsu Digital Inc.

In 2011, joined an online-specialized agency. Served as a consultant for performance-based advertising, primarily display ads, handling a wide range of clients from major corporations to startups across industries including e-commerce, telecommunications, real estate, entertainment, and gaming. After also handling proposals and operations utilizing third-party ad delivery, tag management, and DMP (Data Management Platform) tools, joined Nextedge Dentsu Inc. in 2013.

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