Achieving Hyper-Personalized, Integrated Experiences With The Help Of CDPs: Session Recap: Key Takeaways from Roshni Nambiar, Peter Bond at eTail Palm Springs 2026
The fireside chat “Achieving Hyper-Personalized, Integrated Experiences With The Help Of CDPs” at eTail Palm Springs 2026 brought together Peter Bond of The CPG Guys and Roshni Nambiar of Unilever’s prestige beauty group. They explored how customer data platforms help large CPG brands unify siloed data, power true personalization across channels, and prepare for an AI-driven commerce future.
Key Takeaways from the Session
1. CDPs solve growing challenges with fragmented customer data
Roshni described how Unilever’s prestige DTC brands were juggling transaction data in e-commerce platforms, engagement data in ESPs, and loyalty and subscription data across multiple vendors. This ecosystem created siloed databases that made personalized communication increasingly difficult. Implementing a CDP became a strategic necessity to unify customer profiles, connect touchpoints like Facebook and email, and enable consistent, relevant messaging across channels.
2. The rise of DTC and loss of third-party cookies make first-party data critical
The explosive growth of DTC during the pandemic, combined with the deprecation of third-party cookies, pushed CDPs into the mainstream for CPG brands. Roshni emphasized that brands now need to own first-party data and use it intelligently rather than relying on external identifiers. CDPs provide the infrastructure for consolidating that data and turning it into actionable intelligence for personalized experiences and long-term customer relationships.
3. Building vs. buying a CDP: complexity and time-to-value favor partnerships
Unilever evaluated the complexity of building a proprietary CDP, such as ETLs into a data warehouse, visualization, segmentation tools, and outbound integrations at massive scale. With millions of customer records and resource-intensive engineering requirements, the team decided not to build in-house. Instead, they partnered with providers like Simon Data, mParticle, and Tealium to gain a pre-built CDP infrastructure and reduce time-to-value from six to eight months down to roughly two to three months.
4. Cross-functional teams are essential to unlock CDP value
Roshni outlined five critical groups for CDP success: marketers, creatives, API and integration owners, data science teams, and senior leaders such as the CMO or CFO. Without these stakeholders, CDPs risk becoming “just another tool” in the stack. Data scientists in particular drive differentiation by analyzing cohorts, LTV, and retention, while finance leaders feel the pain of fragmented attribution and advocate for a unified customer view that aligns reported revenue with channel performance.
5. Proving CDP ROI requires long-term thinking and smart measurement
CDPs are inherently a long-term ROI play, so leadership alignment on timelines is crucial. Roshni recommended using control group testing for each campaign to demonstrate incremental value, and focusing on use cases where CDPs can simulate workflows before brands invest in new vendors. She highlighted LTV and month-to-month retention as key metrics, showing how improved intelligence and segmentation can bring back high-value cohorts that ESP best practices might otherwise overlook.
6. Deep analytics and ongoing collaboration drive true activation
Unifying data is only the first step; the real value comes from continuous deep analytics and close partnership between data science and brand teams. Roshni’s team regularly runs cohort analysis, market basket analysis, and segment discovery, then provides recommendations for re-engaging inactive but valuable customers. This ensures CDPs move beyond basic win-back campaigns, enabling hyper-targeted experiences tailored to past behaviors, product affinities, and lifetime value potential.
7. CDPs must evolve for an AI-first, interface-shifting commerce landscape
Looking ahead, Roshni noted that discovery is shifting from search to conversational AI platforms like ChatGPT, Gemini, and Perplexity, which are starting to integrate e-commerce and purchasing. As websites’ role changes, CDPs will need to ingest data from new surfaces and partners. The foundation of clean, unified data built today positions brands to feed large models, participate in AI-driven recommendations, and adapt when customer journeys increasingly start and end inside AI assistants.
In Their Words
For a brand to be successful, we should be able to use that data, use that intelligence, and be able to have a personalized communication with the customers over multiple channels.
— Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever
Why It Matters for Retail and DTC Leaders
For many retail and DTC leaders, data fragmentation and rising customer expectations are converging at the same time. This session showed how a global CPG like Unilever is treating CDPs as strategic infrastructure rather than a niche marketing tool. By investing in unified IDs, deep analytics, and cross-functional ownership, brands can turn scattered signals into integrated customer journeys. As privacy norms evolve and AI reshapes discovery, leaders who build robust CDP foundations now will be better equipped to personalize at scale, prove marketing effectiveness, and compete in both DTC and wholesale environments.
Actionable Insights
- Audit your data ecosystem: Map all platforms holding customer data and prioritize CDP use cases that reduce fragmentation and unify profiles.
- Align on long-term ROI: Set expectations that CDP value accrues over time, and use control groups to demonstrate incremental impact per campaign.
- Build a cross-functional CDP squad: Involve marketing, creative, data science, integration owners, and finance in design, implementation, and activation.
- Invest in deep cohort analytics: Regularly analyze LTV and retention by segment to identify high-value customers and design tailored re-engagement strategies.
Want more insights? Learn more about eTail.
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2026, eTail Palm Springs- Fireside Chat_ Achieving Hyper-Personalized, Integrated Experiences With The Help Of CDPs
Peter Bond, Founder & Co-Host, The CPG Guys: Hey, Kris. First of all, congratulations to you- Thank you ... on creating such a platform that's ready for AI. Yeah. It doesn't exist, man. You guys are early. Thanks, man. So good luck. Good luck. All right. We're gonna create some awkward space unless you all come up forward. We're gonna sit like this. So there's no reason for some of you to sit in the back.
We don't bite. We bite only after dark, so feel free. All right, so what are we talking about today? Customer data platforms, and can't think of a better company than Unilever, which is obviously this oversized legacy, seventy billion dollars annual global sales, maybe fifty-plus international markets.
Wholesale distribution is what the majority of the business is, yet focuses on a D2C side of the fence with prestige beauty, prestige luxury beauty, things of that nature. You can't really be successful in the D2C business without a customer data platform, so here we go. Roshni, thanks for joining us, first of all, today.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Happy to be here.
Peter Bond, Founder & Co-Host, The CPG Guys: Awesome. So I'll kick it off with a very simple question, in the context that I laid out, which is Unilever, obviously massive global CPG brand manufacturer. Enor-enormous amount of customer data flowing, whether that comes from the wholesale side or D2C side, multiple channels across the board.
From your vantage point as the role you play as Senior Director of Analytics and Strategy on the D2C side, what was that moment where y'all said, "Okay, we are a large company. Wholesale is our primary business, but we need to have a CDP," and made it a strategic priority within the company rather than just one more technology kind of toy?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So it was getting extremely challenging to have a personalized communication with the customers because of all the siloed databases that was existing in the ecosystem. So if you look at a typical e-commerce D2C brand you will have your e-commerce running on Shopify or Commerce Cloud, so your transaction data resides there.
Then all the product data is in that database. If someone is availing a promotion, that data goes there. And then you have your ESP running your email marketing, all clicks, opens, and all the data that goes in there. And you may have your loyalty platform, you may have your repeat order program subscription.
So all this is creating a siloed databases. So for a brand to be successful, we should be able to use that data, use that intelligence, and be able to have a personalized communication with the customers over multiple channels. And that was the point we were pushing CDP as a mainstream thing because that personalized communication was getting more and more challenging.
Peter Bond, Founder & Co-Host, The CPG Guys: Was that decision an IT decision or a business decision?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: It's both. It's both.
Peter Bond, Founder & Co-Host, The CPG Guys: Gotcha. And then when I think about multiple channels, so in personalized communication what channels are you guys using it for? Is it primarily just D2C and digital, and that's the way to go? Are you also pushing using the CDP to create offers, et cetera, on the wholesale channel when you sell it to Walmart?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Right now we are mostly on the digital side. But just the fact that within your e-commerce department, you may have 50 or 100 or even more smaller vendors, and when it comes to having that unified customer profile, it was getting more challenging to get to that point. Be able to know that, okay, this is the customer I'm talking to in Facebook, this is the customer I'm talking to in email, and we are taking it to the next level by integrating data from other retailer channels as well.
But right now it's more on DTC digital side.
Peter Bond, Founder & Co-Host, The CPG Guys: And you'll feel you'll have a grip of it now, you're on top of it, all those platforms have come together in the CDP, and you have a genuine unique identifier now. Yes.
Congrats.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: As much as possible.
Peter Bond, Founder & Co-Host, The CPG Guys: Sure. That market in the last three years, especially with clean rooms coming in, retailers willing to share that data as well, has exploded in the recent years.
In your view, what are the top two or three underlying forces that dri- is driving that? Whether that's the death of the third party cookies, the right of D2C-- rise of D2C, or something else entirely that are really driving CPG companies towards CDP adoption. 'Cause in my wildest dreams, having come from like PepsiCo and Johnson & Johnson, I would have never thought Unilever would be the one that would run the race on this one.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. I would say rise of DTC. With pandemic stay-at-home, most of the brands, DTC brands, they doubled and tripled the revenue who survived that of course. But and along with that explosive growth, there came a marketplace inundated with point solutions. Not that anything wrong with it, but what creates behind the scenes is all these data challenges.
So that definitely play a role. And then third party cook-cookies going away. There are, there's been talks in and out, but that gave all the brands some sort of urgency to own first party data. They should be owning that regardless, that's a different conversation. But yeah, those two factors I think really pushed CDP into the mainstream.
Peter Bond, Founder & Co-Host, The CPG Guys: I think a great advantage for all of you in the room. How many of you actually have a CPG product or D2C sellers yourself, or sell on a third party marketplace platform? You guys actually have a big advantage versus the largest CPG companies in the world. Take it from me, a guy who spent 30 years in that world.
They don't have a clue what to do with the CDP. Unilever is an exception. So congratulations again. Now, when you guys were evaluating a CDP strategy, how seriously did the team weigh building a proprietary solution versus purchasing an off-the-shelf platform? Because a knee-jerk at most large companies is due to all the IT complications, the seven layers of bureaucracy, procurement, all of that stuff, and usually end up underestimating the cost, and once you bring it in, lots of things are discovered.
So whether it's the engineering talent needed to build integration, complexity of buying, what were those factors that said, "Let's do it," and how did you go about that selection?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So if you think about a CDP platform, it's a complex infrastructure. First of all, you need to write ETLs to extract data from all the different data sources and bring it into a warehouse, data warehouse, right?
So that data modeling, writing ETL, that itself is a complex project. Yep. And then you need to have some sort of visualization so marketers can really understand how to use the intelligence and analytics. That is second component. And then thirdly, you need a segmentation tool to build customer segments out of that intelligence.
And it doesn't end there. Fourth component, which is the outbound channel integration. So it, it's a massive project we are talking about. And these resources to build all this, they're not easy to get so that's another challenge.
Peter Bond, Founder & Co-Host, The CPG Guys: And expensive, I assume.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah, super expensive. And we are easily looking at six to eight months of development time.
And also think about the scaling that we have to do. We are dealing with customer records, ten mil- hun- I'm not even yeah, giving a number, so may- let's say ten million customer records, and we are talking about that times number of communication times every- Sure ... record you can think about, right?
It's a massive data. So we didn't even look at building it in-house. And then time to value. So if you are building it in-house, eight-- six to eight months to build, stabilize, and then you're running your use case on top of that. Versus if it's a pre-built solution, you are up and running in two, three months.
Peter Bond, Founder & Co-Host, The CPG Guys: Awesome. So do share with the audience what did y'all end up doing? Did you build? Did you buy as a result of all this complication?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: We, we ended up partnering with, within Prestige is a group of eight brands. We have multiple vendors in the ecosystem.
Peter Bond, Founder & Co-Host, The CPG Guys: And what are those brands? Cause normally when you think Unilever, large company, you think- Yeah mass stage and you think $2 to $10 maybe-
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah ...
Peter Bond, Founder & Co-Host, The CPG Guys: across beauty, skincare, and body lotions. So do share.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. The vendors you're talking about, right?
Peter Bond, Founder & Co-Host, The CPG Guys: The brands.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So yeah we had Simon Data, we still have. We looked at mParticle, one brand is having that, and another brand had Tealium. So it's a mix of things. I, I don't want to, stack rank-
Peter Bond, Founder & Co-Host, The CPG Guys: But for the benefit of the group though- Yeah ... these brands that you're selling on D2C, these can't be the $2 and $7 mass stage brands. So what are they? Are they like, are your price points much higher that allows you to do it and therefore the communication in the CDP is going to be very different and hyper-targeted?
Yeah, Unilever brands, yeah.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. Yeah so I'm part of the prestige group. We play in the luxury beauty segment. Skincare brand, we have five skincare brands, two haircare, and one color cosmetics. Average order price is around 100 that kind of range- That's why ... depending on the brand.
Peter Bond, Founder & Co-Host, The CPG Guys: And I imagine your conversation with the consumer is hyper, hyper targeted and individualistic.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah, yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: Awesome. So obviously talent, which you've already hit upon that subject. You require very specialized talent to be able to build this, and a successful CDP is only as good as the team that's behind it, right? From the tech people to the marketers who take advantage of it.
And I understand you have a unified ID, so how did you guys think about staffing, even with a partner, this cross-functional energy? 'Cause at the end of the day, marketing is the single biggest beneficiary of the CDP. How did you go about it?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. It's important to have five groups of people, in my mind. One is the marketing, obviously.
They are the ones who are going to use the product, build customer segments, and, launch campaigns. And the product or whatever you're building, it's only as good as how they are going to use it. And then secondly, part of marketing, but creative people are important. That's oftentimes overlooked, because you will be thinking about all the heavy lifting on the data side, and this comes as an afterthought that's why I'm mentioning.
And then third part is, people who are ready to give API access to CDP providers so they can, go in and get that done quickly. All those different source systems we were talking about, I just named a few, but there will be, like, 20, 40, and depending on your environment. So that's that, and then data science people are important.
Peter Bond, Founder & Co-Host, The CPG Guys: Yep.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Because otherwise CDP will be just another tool in the, in your tech stack. The real differentiator is going to come from the data science analyzing the data, figuring out the LTV tier, figuring out month, how the retention is going how different customer segments or customer cohorts are be- behaving to as a promotion, things like that.
So all sorts of analysis, the more you do, the better. That's very important. And finally maybe get your head of marketing or CMO or head of finance, CFO involved, because they are seeing the problem of fragmented data more than anyone else. So CFO is looking at, let's say, a 10 million revenue a month, and then Facebook is telling, "I generated eight million," Google is telling another eight million.
It doesn't add up to 10, so they're really seeing the problem getting a buy-in from them will go a long way.
Peter Bond, Founder & Co-Host, The CPG Guys: I can't imagine that was easy, which is where I'm gonna jump to next, which is the ROI of a CDP platform. Such a large company, any company, it's a tough sell because it's not a small investment, especially when the time it takes to materialize the ROI, as you mentioned, it takes eight months or so to just to build a platform, right?
But it takes time to materialize. So how do you, how did you frame a business case upfront? What KPIs did you commit to and are playing it out to the day and actually delivering against those KPIs to make sure that leadership aligned cross-functionally like you mentioned?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. So CDP is a, it's a long-term ROI play.
If you're looking at two to three months, I want to see positive return, you may not see that. So that alignment has to be there upfront. Having said that, short-term success is also important. So I would do for every campaign do a control group testing so you can show the incremental value.
That's one thing. And then secondly, address some of the use cases where there is a gap in your business. For example, you're thinking about launching a subscription program, and you are not sure whom to go with and it's another 100K investment. So in that kind of scenario, you can use CDP to simulate those workflows.
Go for use cases like that instead of competing with an existing vendor and trying to recreating that. And KPIs, LTV is a good measure. So look at LTV before and after implementation. But keep in mind that LTV is a long-term measure. And my favorite is month-to-month retention. So take each cohort and see what percentage is coming back every month, and then look at your CDP implementation when it happened in the timeline.
And if you did it correctly with the right intelligence it will-- you will see a difference.
Peter Bond, Founder & Co-Host, The CPG Guys: Now, LTV is obviously a golden asset- Yeah ... for D2C brands, but an Achilles heel for the wholesale brands. So do you make the wholesale brands jealous? Those channels?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Maybe.
Peter Bond, Founder & Co-Host, The CPG Guys: And are they hungry enough where they're asking you to share that data?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: We don't share that kind of data.
Peter Bond, Founder & Co-Host, The CPG Guys: Gotcha.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So it's, yeah, it's more of inter- Privacy? Yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: Privacy, I imagine.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah, yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: Gotcha. How long did the sale process take to get leadership convinced that they should do this?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: We were seeing those problems, that fragmented data and this wasn't-- we started in somewhere around two thousand nineteen before the pandemic, so we really saw the issue of fragmented data.
Peter Bond, Founder & Co-Host, The CPG Guys: And so it was an easy sell?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: It was. It was like-
Peter Bond, Founder & Co-Host, The CPG Guys: Doesn't happen every day-
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: Let me assure you.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah, yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: A lot of companies do this pretty aggressively. As you mentioned, the need state exists. You have a plan, it's cross-functional, marketing buys off. You implement it, and then you hit a plateau.
The good part is you're unified on data, as you mentioned- Yeah ... but haven't fully activated it. And that's why I asked you the question, getting the most out of it. The wholesale part of the world- yeah ... can really benefit from learnings they have from CDP, even though you never give away the private individual consumer data.
But what does getting the most out of a CDP actually look like in practice in this large company? And where do you see the biggest untapped opportunities?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So it's important to run that deep analytics I was talking about. That's where the value of the platform is. So use that continuously, like every-- run it every month or every quarter, and then identify the new customer segments you can go after for that incremental value.
That's very important. For example, if your your ESP provider, oftentimes they will recommend that you go with the deliverability score as a criteria. So their recommendation would be just touch people who were active in the last six months or eight months or 12 months. But if when you have that month-to-month plot using CDP, you will clearly see that you will have an older set of cohorts, which they most likely they will be your high LTV customers as well.
But they're not coming back as much as they should be. So these are the incremental value you can bring to the business using CDP platform.
Peter Bond, Founder & Co-Host, The CPG Guys: Are you all having those conversations consistently with the marketing folks-
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah, yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: The business side on these?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: And how do they respond typically?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. So what we do is the data science team, we work with the brands closely and generate all those analytics and give them recommendations. Outside of all the normal marketing activities they do, outside of all the promotions they do, if you want to bring in those inactive customers, it's not as simple as inactive win back kind of thing that marketing plans.
But really using the data science, identifying what products they used to purchase doing market basket analysis and all those things, we would make recommendations so they can create segments and target them.
Peter Bond, Founder & Co-Host, The CPG Guys: Awesome. So they're taking full advantage.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: Awesome. So looking ahead as we forecast the future, where do you see CDPs evolving for CPG brands, whether that's deeper integration with retail media networks, real-time personalization at scale, or com-- something completely else?
And then what should brands be thinking about now? Kris already referred to AI. Are you all thinking about- How all of this data that you've built over time could easily be fed into a large learning model and exploit that.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. It, the foundation of data, that's super important, right? Even in the AI world, so we have set there.
But where it is going, the whole process of getting found in the net, it's, that's changing, right? Instead of searching, you're asking ChatGPT or Gemini or Perplexity some questions. And e-commerce integration is already happening. The, you're getting recommended by the AI engine, and there are options to buy directly from there.
We are working on it. It's not done yet but that is happening. So s- where's si- the role of the website, it may change in the future. We'll see.
Peter Bond, Founder & Co-Host, The CPG Guys: As Kris has already point, adds up some.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah. Yeah. So I think, CDP, a good percentage of the data right now is coming from the website.
Peter Bond, Founder & Co-Host, The CPG Guys: Yep.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So with this paradigm shift, so now we have to get data from the other side. Would they share? I don't know. That's the bigger question.
Peter Bond, Founder & Co-Host, The CPG Guys: But it's a good problem to have.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Yeah.
Peter Bond, Founder & Co-Host, The CPG Guys: Awesome. That's all we had. We got about a minute left. Any questions y'all have for Roshni? Go ahead.
Audience Member: Hi, Roshni. So I work directly with D2C brands who are more in the fashion retail space, and one of the questions that I often get as a seller is: "Hey, R- Rooveena what do you recommend as far as CDPs go?" From-- So from your perspective, what are maybe two questions that you would ask a CDP as you're trying to figure out a right fit for Unilever?
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: So one thing, looking back when I did all that data side and handed over to the marketing, a good friend of mine, what she said is, "I don't know what I don't know." So whatever insights CDP was telling through their visualization, that wasn't enough for them. So that is one part I would focus when I'm selecting a platform, making sure there's enough visualization if you do not have an internal team or a business analyst supporting that.
And then secondly, service side of things. That is something we overlooked. Some of the brands within Unilever, they really needed hand-holding, like the service person working with them launching the campaign. So that kind of support is very important too.
Peter Bond, Founder & Co-Host, The CPG Guys: We're out of time, so thank you. But Roshni's around, y'all can always pick her brain individually.
But thank you folks for joining us today.
Roshni Nambiar, Sr. Director, DTC, Analytics & Strategy, Data Science, Unilever: Thank you. Thank you.