Optimizing media buying in privacy first era — Rohit Maheswaran // Lifesight
Rohit Maheswaran
Lifesight
- Part 1How Marketing Mix Modeling unlocks scale & Incrementality — Rohit Maheswaran // Lifesight
- Part 2 Optimizing media buying in privacy first era — Rohit Maheswaran // Lifesight
Show Notes
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03:06The shift toward a privacy first era in the data landscapeAdvertising has always worked, even before advanced tracking methods emerged. The challenges arise from changes in attribution tracking-based methodologies and marketers ability to keep up with the rapid, sometimes random, nature of these changes.
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04:46Adapting to a third party cookieless futureThe future of marketing will revolve around first-party data and building a robust first-party data strategy, prioritizing data ownership and quality. With third-party cookies going away, marketers need to adapt to new data-driven approaches and reduce reliance on platforms.
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06:54The future of the open webThe open internet is not going away; it will remain a vital space for various media forms, such as CTV. While it may face challenges in market share, the industry is adapting with consent-based approaches and alternative identifiers like mobile IDs and hashed emails.
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09:27Balancing personalization and privacy in marketingMarketers can strike a balance by managing first-party data with strict consent and using CDPs for consent management. They should focus on building a solid data foundation and re-educate themselves to leverage a range of marketing tools beyond traditional attribution tools.
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12:45Consent based data collectionBrands must get creative with data collection methods beyond cookie banners to motivate consumers to share data. The key is to secure that initial consent, which paves the way for effective data collection and personalized marketing efforts.
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14:51Companies successfully using Lifesight for media buyingA leading retail group adopted Lifesight's solution end-to-end, leveraging first-party data for enriched insights. The result: a 50% improvement in reach accuracy, a 30% reduction in cost per acquisition, increased ROAS, and the ability to trim marketing budgets while sustaining sales growth.
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16:11Ensuring data privacy while fostering collaboration between teamsIn the mentioned example, a data team is responsible for compliance, data privacy, and customer data management. Consent signals from the website are integrated into a CDP to update customer profiles, and the data team ensures visibility into trends and compliance
Quotes
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"Advertising is still advertising. The doom and gloom in the sky comes because attribution will stop working how it used to work, and that's what's scaring marketers today." - Rohit Maheswaran
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"Building out a first-party identity and first-party data strategy is where it's all at. Brands today need to put 100% of their focus on ensuring their data is owned by them and not sitting in some other platform." - Rohit Maheswaran
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"Marketers must have very strict consent when it comes to their first-party data, and the ability to manage that consent using a platform like a CDP." -Rohit Maheswaran
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"The generation of digital consumers today is completely open to sharing their data. Getting creative with how you do things, rather than relying on them clicking a cookie banner is going to be the differentiator." - Rohit Maheswaran
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"When it comes to match rates using our tool, marketers are seeing upwards of 50% improvement in the accuracy of reach of the customer base. Their cost per acquisition also drops by a significant amount." - Rohit Maheswaran
- Part 1How Marketing Mix Modeling unlocks scale & Incrementality — Rohit Maheswaran // Lifesight
- Part 2 Optimizing media buying in privacy first era — Rohit Maheswaran // Lifesight
Up Next:
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Part 1How Marketing Mix Modeling unlocks scale & Incrementality — Rohit Maheswaran // Lifesight
Rohit Maheswaran, Co-founder and Chief Product Officer at Lifesight, explores market mix modeling and modern media buying in an age of online privacy. Marketing mix modeling has been around since the '60s, used primarily by larger companies with statisticians and data scientists. While the advent of individual-level tracking in the late 2010s led to its decline, marketing mix modeling is reemerging in popularity as individual-level tracking becomes more difficult to accurately measure. Today, Rohit discusses how marketing mix modeling unlocks scale and better budgeting decisions.
Play Podcast -
Part 2Optimizing media buying in privacy first era — Rohit Maheswaran // Lifesight
Rohit Maheswaran, Co-founder and Chief Product Officer at Lifesight, explores market mix modeling and modern media buying in an age of online privacy. With privacy regulation changes like GDPR, CCPA, and the departure of third-party cookies, marketers are becoming anxious. However, now is the time for marketers to reduce their reliance on platforms and build out a robust first-party data strategy. Today, Rohit discusses optimizing media buying in the privacy-first era