Moloco’s Post

Estimating Short Term and Long Media ROI has always been a challenge since long. As per Nielsen 2023 annual marketing report media clutter and channel overload is hurting accurate estimation of Media ROI. 70% of the Global Marketers claim that it is easy to estimate the aggregate (Total Media ROI) but on the flipside the confidence on the ROI Measurement at the individual media channel level is much lower. According to Boston Consulting Group, while few companies have adopted media measurement system; only a fewer are able to measure and optimise. Leverage CatmanAI to measure ; estimate ; simulate and optimize media Budget. https://lnkd.in/gNBmqfXA

Navigating the maze of multi-touch attribution and platform analytics—think last click, first click—is a common challenge. Yet, Market Mix Modeling (MMM) offers a refreshing escape, presenting a holistic view that transcends the limitations of direct attributions. MMM enables a comprehensive analysis that includes both online and offline activities, offering clarity across "walled gardens" like Amazon, Google, and Facebook, where data sharing poses a challenge. With growing privacy concerns and the expansion beyond digital platforms (CCTV, linear TV, direct mail), MMM shines by providing valuable insights without the need for cookies. As businesses venture beyond digital borders, MMM emerges as a pivotal tool, equipping brands with the insights needed to make informed decisions across their entire marketing landscape.

The Trade Desk wants buyers to only buy premium inventory. DoubleVerify wants advertisers to be educated on fraud. The truth is any decent media buyer can identify the top 100 premium publishers in any channel and they identify garbage traffic via simple analytics analysis. The real need in adtech is being able to identify long tail, premium ad placements. We can help with that!

✍ Very happy for the opportunity on AdExchanger to dive deeper on supply-side signal measurement and how Signal IQ is empowering publishers with a new level of visibility into their third-party IDs. Time to think about this measurement as an always-on capability that improves publisher adaptability to change (which, as they say, is constant). If you’re measuring your signals, you can improve them. 📈 https://lnkd.in/gHk4eRRR Kudos to Tracy Lee, Alicia McCarthy, Jim Asip, Prabhuram Jagadeesan, Eric G., Lucas Sherman, Cassius Butcher, Sohaib Siddiqui, Tui Popenoe, John Abraham, Chaoran Chen, Margaret Liu, and Jon Ellsaesser for bringing Signal IQ to life for our APS publishers. #SignalIQ #APS #AmazonPublisherServices #Supply #Signals #Measurement

(From our friends at MDDC Advertising Services) 📊 As digital advertising evolves, so does the importance of high-quality commerce data for advertisers. Thanks to platforms like Attain, we now have unprecedented insights into consumer behavior and purchasing patterns. This shift towards data-driven marketing promises a significant boost in ROI for advertisers. 💰 #DataDrivenMarketing #Attain #ROI ➡️ https://bit.ly/3U2zarV

In this five-minute video, Dan Richardson from Yahoo explains what advertisers need to do to be successful in a world beyond third-party cookies. Take a look!

According to recent stats from Insider Intelligence retail media is set to claim over half of all new search ad dollars this year 💥 Astonishingly, just 1 in 5 will go to Google. This shift underscores the evolving preferences of consumers and advertisers alike. How do you perceive this trend evolving in the future? Tell us below in the comments.👇 You can find the full report here- https://bit.ly/3Ic6fMG #retailmedia #searchinsights #digitaladvertising #zitcha #retailmediatrends #retailmediaplatform

Data is a powerful tool in advertising!💥 Wen Zhe Lim, our Director of Advertising & Partnerships, recently shared his view on specific data signals that are vital to businesses in the future of advertising, at The Drum's APAC Trends Briefing - Data-driven brilliance: Navigating the future of advertising. "It serves us also not to forget the specific moments, emotional attachments, and points of purchase intent and consideration that are owned by different retailers and fragmented within platforms or other companies." Watch the panel on-demand here: https://lnkd.in/gKaDdhmF Connect with us to experience the power of panda ads' insightful data https://lnkd.in/g_Cu2Ni5 #RetailMedia #DigitalAdvertising #pandaads

As the temperature rises, so do the opportunities for advertisers and publishers. 🌞📈 Dive into our latest blog for data-driven summer marketing strategies to unlock your seasonal revenue potential. 👇🏻 https://bit.ly/4bplDSK #Adtech #Advertising #Revenue #VDOAI

Metrics are useless In the case when: - they don't match the tactical focus (“Why do we need NPS when our priority is to optimize ad traffic?”) - no context. (“Retention rate 21% - is it good or not so good?”) - the effect of changing the metric is not clear ("Conversion rate dropped from 1.2% to 1.19%. Is it already time to throw all your efforts into finding the reasons?") - it is not clear what action should be taken (“LTV decreased by 9%. What is the first priority action to be taken?”) - unclear how this relates to other metrics ("Wow! LTV is up 20% based on our calculations. How did this affect our profit?") --- How do you fix it? It's quite simple. 1. Track only those metrics that help you solve your current challenges in the medium term 2. Always take another period / deviation from plan / benchmark for comparison 3. Define acceptable limits of metrics outliers so you know when it is just a temporary fluctuation or a critical deviation 4. Find actionable metrics that you can influence directly with your actions 5. Describe how some of your metrics relate to others. This will help you determine the extent and nature of the influence