1. How important is improving unaided brand awareness to your marketing objectives in the next 12 months?  

I lead marketing for a tech company, and as a B2B marketer I think unaided brand awareness is everything!  Tech needs to be top of mind in order to be considered.  When someone is considering using a technology, or for that matter any product or service, your awareness is key.  You either need to be thought of immediately, because you are clearly associated with that category, or when they do their research and see you, they immediately think of you in a different, hopefully better, way.  That second example of more aided awareness, but unaided awareness can keep you in front of the pack and force everyone else to position against you.  The biggest, best brands and ones that stay top of mind and score highly on unaided awareness.  For the next 12 months specifically, this might be the second most valuable metric I have as a marketer, second only to actual verifiable, qualified leads that convert.

2. To what extent do you believe in-content, non-disruptive advertising can outperform traditional formats in building brand equity? 

I believe it could be the way brands build trust and break through the clutter.  Interruptive ads are good for frequency and bringing a brand back to mind, but the in-content and non-disruptive model is better because you know it is not skipped, and it benefits from being in the content people know and love.  That’s why influencers do so well.  The messages are not skipped, and there is an implied trust in the creator that carries over to the brand.  That trust comes from an authentic implied endorsement.  Brands need that trust with the consumer, and if they have to borrow that trust from the context or the creator, then so be it.  If you take a portion of your budget and allocate it here, you get more awareness for your buck because it can’t be skipped, and that awareness is associated positively with a message.  That means your entire budget works smarter AND harder for your objectives.

3. Do you see embedded brand content within creator videos as a scalable and sustainable strategy for your brand? Why or why not? 

Yes.  Fundamentally, this is what we do.  We enable scalable solutions to execute this model.  For us, the audience that is attached to a show or a clip from a show, has a higher propensity to watch and engage with that content when it is shown to them, and that creates a higher attention opportunity for the brand.  When the audience is paying attention, your brand message works smarter.  I will never say this is the only way you should operate, but it definitely could be 50% of a marketers budget going forward.

4. As consumer attention shifts toward short-form, creator-driven, AI-augmented content, how is your organization adapting its messaging strategy? 

Our messaging has to be crisp and simple.  It has to be short and succinct.  It also benefits from being embedded in B2B content because that audience is ready for that kind of message.  For me, it's all about storytelling in the shortest way possible.  A good analogy is children’s books.   Those books are able to tell a story and get a point across very quickly.  When I used to read them to my kids, there was always a key message conveyed in a short time.  I think our marketing and messaging strategy has to be the same way.

5. Which KPIs are most important when evaluating a new advertising technology like RAI?

Any new technology should be able to be measured by the same KPI’s as the methods and formats that it is competing against.  For us, we evaluate our results on Unaided Awareness, Click-Through Rate, Video Completion Rate and Sales Lift.  These are standard KPIs and ones that any marketer should be focused on.

6. How important is being an early adopter of new advertising technologies in maintaining competitive advantage for your brand?

I think this is extremely important.  You always need to be thinking ahead.  Testing new technologies early allows you to unlock the value for your brand quickly, and maintain that competitive edge.  If you wait until someone else has figured it out, then you’re always going to be playing catch-up!

Get in touch with our MarTech Experts. 

1. How are digital marketing strategies evolving to meet the unique challenges of industries like law, insurance, and healthcare?

Industries like law, insurance, and healthcare operate in high-stakes environments where trust, compliance, and expertise are non-negotiable. That’s why our approach to digital marketing for law firms, insurance digital marketing, and healthcare clients at 5WPR is rooted in precision and authority. We’re leveraging data-driven strategies, like advanced audience segmentation, contextual content development, and reputation management, to ensure our clients cut through the noise without compromising regulatory integrity. It’s not just about visibility anymore; it’s about credible, high-impact engagement, at the moment that matters, that earns trust and drives business outcomes.

2. How does a unified approach to PR and digital marketing contribute to achieving organizational goals across different sectors?

When PR and digital marketing operate in sync, the result is not just amplified messaging, it’s measurable momentum. At 5WPR, we build integrated strategies that connect brand storytelling with conversion-focused tactics. Whether it’s building authority in legal services, driving lead gen in insurance, or scaling reach in health and wellness, our digital marketing agency teams work hand-in-hand with PR to align visibility with value. This alignment ensures that every media mention, social interaction, or paid campaign feeds into a cohesive narrative that supports long-term brand equity and immediate performance metrics.

3. How is the demand for personalized content shaping digital marketing approaches in sectors such as health & wellness and insurance?

Personalization has moved from being a differentiator to a baseline expectation, especially in nuanced spaces like health and wellness digital marketing, and insurance. Consumers want to feel seen, understood, and valued. To meet that demand, we’re building dynamic content ecosystems powered by behavioral data, lifecycle insights, and predictive modeling. Whether it’s a personalized wellness journey or a tailored insurance solution, we help brands show up with relevance, delivering the right message, in the right voice, at the right moment.

4. What challenges do organizations face in ensuring that digital marketing efforts comply with industry-specific regulations and ethical standards?

Regulatory complexity is one of the biggest hurdles in industries like healthcare, law, and insurance. From HIPAA and FINRA to evolving data privacy laws, the stakes are high. Our teams are proactive in navigating these challenges, integrating compliance checkpoints directly into our digital workflow. We tailor our strategies to reflect not just legal requirements, but also ethical standards, ensuring our clients maintain credibility and avoid risk while still delivering high-performing campaigns. It’s a delicate balance, but one we’ve built deep expertise around.

5. How can companies balance innovation in digital marketing with the need for transparency and consumer trust?

Innovation shouldn’t come at the cost of trust; it should enhance it. At 5WPR, we believe that the most effective digital strategies are those that blend creativity with accountability. That means deploying emerging tech like AI, automation, or immersive content, but doing so with clear value exchanges, ethical use of data, and open communication. Especially in industries where decisions impact health or financial security, brands have a responsibility to be both forward-thinking and forthright. Our job is to help them strike that balance through smart, responsible digital storytelling.

6. What trends are anticipated to impact digital marketing strategies in sectors like law, insurance, and B2B services over the next few years?

We’re seeing several transformative trends take shape: AI-powered legal search, decentralized insurance platforms, voice-activated claims processing, and more personalized B2B buying journeys. These shifts will require brands to be not only agile but also deeply attuned to client pain points. We’re helping our clients prepare by investing in long-form content, zero-click SEO strategies, and hyper-targeted paid media campaigns. Ultimately, future success will come from marrying technical innovation with human-centric design, something we’ve embedded deeply into our approach to digital marketing for B2B, insurance, and legal industries.

Get in touch with our MarTech Experts. 

1. How important is achieving a unified customer profile, and what best practices ensure its accuracy and utility? 

A unified customer profile is a detailed, nuanced, and contextual understanding a customer, a business, a household or another entity that organizations use to provide a differentiated customer experience (CX) – or to power AI, analytics, and operations. It’s a critical part of a solid data foundation that turns a company’s customer data into business value.

A unified profile must be complete, accurate, and timely for marketers and business users to completely trust that it represents the customer they’re engaging with. A few best practices elevate a true unified customer profile over simply aggregating customer data from various sources, applying a simple match and calling it a day. 

The most important is to continuously apply data quality steps at data ingestion, not downstream. Accuracy depends on not only ingesting data from all possible sources, but also in applying normalization, standardization, data enrichment and advanced identity resolution as data enters the system. This prevents bad data from entering critical downstream systems and creates a strong data foundation that enables marketers to make more confident decisions and successfully execute campaigns.

Another key step to ensure the utility of a unified profile is to make it available and accessible across the enterprise – ensuring that all users have an identical understanding of a customer. For dynamic segmentation and real-time decisioning, a common understanding results in a consistent CX across every channel – as if the brand is speaking to the customer with one voice, regardless of the interaction touchpoint.

2. What are the key challenges organizations face in unifying customer data, and how can they overcome them?

Most companies have deep organizational silos that are difficult to overcome. They’re set up operationally with the mindset that each department needs data for its own purposes. Each department has a different idea for what constitutes business-ready data, leading to a lack of standardization. As a result, marketing teams and business users never develop a complete understanding of their customers – and can’t pull off an omnichannel CX. 

From a technology standpoint, the challenge in unifying customer data is that most customer data technology fails to prioritize data readiness, which includes making sure that data is complete, accurate and timely as soon as data enters the system. A basic match of customer data whenever there is a changing key, matching that is not tuned to the desired use case (overmatch, undermatch), or even failing to correct data inconsistencies are common when customer data technology approaches data quality as anything but a core capability. 

Technology that instead prioritizes data readiness in the building of a unified profile solves for the downstream problems associated with a lack of a single customer view, and it also is instrumental in helping organizations change their mindset for how customer data is used across the enterprise.

3. How can businesses balance the need for immediate insights with the challenges of data integration and system performance? 

Data integration and system performance challenges can often make it difficult to generate immediate insights needed to provide a great CX.  This problem gets at the heart of why data readiness is so important, and why so much customer data technology falls short of extracting value from customer data when it relies on third-party solutions for preparing data for business or CX use.

Because customer data integration has a direct bearing on delivering a real-time CX, data must not only be ingested in real time, but the various sources of customer data integrations mush also be updated in real time. If various business users accept different requirements for when data must be made ready for business use, then the result – just like having different standards for data quality – will be a poor CX due to a lack of a real-time customer understanding. Data readiness assumes that immediate insights are an indispensable part of a relevant, omnichannel CX.

4. What considerations should businesses keep in mind when adopting a composable approach to their data infrastructure? 

One consideration when assembling a composable martech stack is to understand if and when data quality processes occur. Many composable CDP vendors leave data quality to someone else, thus avoiding the consequences of having different components treating data quality with different approaches. But when a composable framework includes central ownership for making data ready for business use, marketers can trust the data they’re using to build segments and execute personalized campaigns – all without having to wonder if IT is returning the latest customer record.

Because a composability framework gives marketers direct access to a unified customer profile, they can independently build audience segments and launch personalized campaigns without having to rely on IT support, allowing them to more easily focus on strategy, executing and improving CX.

Ultimately, a composable infrastructure should ultimately make it easier – not harder – to power a differentiated CX, and that is only possible when data quality is a priority.

5. What metrics should organizations track to measure the success of their CDP implementations? 

Retention, loyalty and customer lifetime value (CLV) are three key metrics for measuring the success of a CDP implementation. A robust, enterprise-grade CDP should produce significant improvements in all three, the result of transforming raw customer data into actionable insights through having a deep customer understanding. In a McKinsey survey on CX, 76% of consumers said that receiving personalized communications is a key factor in prompting consideration of a brand, and 78% said that such personalization makes them more likely to repurchase. 

Higher retention, a more loyal customer base, and an increase in CLV are the direct result of implementing a CDP that gets data right – ensuring it is complete, accurate and timely – and makes it actionable for any business or CX use case. That means a unified profile is accessible for segmentation and real-time decisioning, that it is tunable depending on the desired use case, and that it is privacy compliant.

6. Looking ahead, what emerging trends do you believe will shape the future of customer data management and personalization?

Agentic AI will play an enormous role in the evolution of customer data management and CX. There is an expectation that brands will rely on agentic AI to manage and execute an end-to-end customer journey, essentially taking the familiar chatbot experience to another level with agents representing a virtual concierge for an individual customer. 

An expectation for personalization will harden into an expectation for agents to be responsible for a consistently relevant CX across channels. Because a chatbot can now easily handle questions about a company’s return policy, for example, customers will soon expect agentic AI to be able to execute a specific return – print a label, schedule a pick-up, apply a balance, etc. – and help guide the customer journey – show similar items in stock that match a customer’s stated preferences, find complementary items, show updated loyalty points, etc. 

 Successfully deputizing AI agents into customer data management and personalization will require agents to have access to the unified customer profile. As consumers become more comfortable with agentic AI as a CX tool, we may even begin to see a time when consumers create their own personal agents for different brands – with more trusted brands receiving more detailed data and preferences from the customers’ agents. Agentic AI may become a two-way street in other words. Brands that are open with how they use agentic AI to improve CX may be rewarded by customers providing more data through their own agents, which will then further improve CX. The key component in successfully integrating agentic AI into CX is high-quality data. Organizations that prioritize data readiness will discover that an accurate, real time understanding of a customer is the backbone to power any emerging CX use case.

Get in touch with our MarTech Experts. 

1. What role does leadership play in ensuring innovation initiatives remain aligned with employee values and customer empathy? 

At Freestar, it starts with a clear vision and strong core values that serve as a compass for every decision we make. Innovation only works when it supports that vision and stays true to what our employees and customers genuinely need. Without that foundation, it’s easy to drift. With it, we can evolve while staying true to who we are.

Evolution and innovation are constants in our industry, and we've worked thoughtfully to build a culture in support of this. But we never innovate just for innovation’s sake. We firmly believe that innovations must be driven by what our customers and partners truly need. That means not chasing shiny objects, not working in silos, talking to everyone, and using stakeholder feedback to shape solutions. We know that sometimes there’s a difference between what the customer actually needs and what they think they want. It’s our job to understand them well enough to decipher that difference. The goal is to create value, not novelty, particularly given our business model where we only win when our partners win.

Leadership’s job is to help carve the initial path, guide pivots, bulldoze the hurdles, and create space for top-down vision and bottom-up insight to meet. When innovation is not just new, but meaningful and values-driven, that’s where the magic happens. At Freestar, we believe we are playing the infinite rather than finite game and always do our best to focus on long-term impact, not quick wins. 

2. How does your organization balance digital transformation with maintaining a strong human-centered company culture?

Digital transformation should enhance the human experience, not replace it. Technology makes the hard things easy and the impossible possible. AI and technology allow us to exceed human potential. But what sets an organization apart is the humans behind it and the customer service.

It’s pretty simple: work smarter, not harder. We use technology for what it’s great at—data collection, speed, automation—so that our people can focus on what they do best: building relationships, solving complex problems, and delivering the high-touch, white-glove service that we pride ourselves on. The key is knowing when to rely on tech and when to lean on people. For example, automation can make a simple transactional process seamless. But when nuance or empathy is required—like with a high-stakes issue or a critical client need—a human should step in. There’s a fine line between using AI to improve outcomes and losing the human element altogether. We’re intentional about always navigating the line with an unapologetic bias for the human side of things.

Ultimately, great technology is only as powerful as the humans behind it. Our culture is rooted in empowering our team with tools that extend their capabilities, again, not replace them. We encourage the use of technology to give time back, offer clarity, and make space to focus on the human-centered work that truly moves the needle for Freestar.  We also try to leverage technology to meet our customers wherever they would like to be met, providing direct access to our teams via tools like Slack and Zendesk, which actually enhances the human connection. 

3. In your view, what elements of the customer journey must remain human-driven despite advancements in automation? 

Ultimately, I believe that sales will always be human-driven. It isn’t just about offering solutions. It’s about uncovering the right problem to solve. Often, the challenge a customer states isn't the real issue. They may articulate a certain pain point or challenge, but not the true problem. That’s where that irreplaceable human intuition comes in. A great salesperson digests more than just words or survey data. They are reading the room, picking up on tone and body language, and gathering those subtle cues to get to the root of the concern. There’s a nuance to conversations that automation, no matter how advanced, simply can’t replicate. The ability to build trust, ask the right follow-up questions, and adapt in real time is key to creating long-term value and successful partnerships. 

AI can absolutely support sales by offering insights, uncovering patterns, and saving time on remedial or repetitive tasks. But the core human interaction is still needed. It’s those person-to-person moments that uncover the underlying needs, create tailored solutions, act as holdovers when the train derails, and ultimately drive success. At Freestar, that human element isn’t a nice-to-have—it’s an essential part of our business. It’s how we solve problems and build lasting relationships.

4. How is your organization innovating to improve customer experiences without making interactions feel impersonal or overly automated? 

We focus on using innovation to enhance the customer experience rather than replace the human connection altogether. Our approach to customer service ensures there’s always a human available to jump in, but only when the customer wants or needs that support. It's about finding that balance of being present without being overbearing.

A key goal for us is reducing friction. We always want to resolve issues in the fewest number of interactions possible. That means getting the right people involved quickly, clarifying the request early on, and offering thoughtful follow-up. No customer wants to hear, “We’ll get back to you soon”—they want the answer right away.

When it comes to utilizing automation, there’s definitely a sweet spot. We always ask: is this helping the customer, or just creating another step? Helpful automation—like being able to track a ticket in Zendesk or receiving a smart notification about travel delays—adds value. But too much automation can feel impersonal and even frustrating.

We talk internally about the creepy vs. convenience scale. If it feels like tech is reading your mind, that’s only great if it’s actually helpful — nobody wants to feel followed. Our goal is to stay on the side of convenience. It circles back to that idea of finding the right balance. We want to deliver faster, smoother experiences without losing the human touch that builds trust and long-term relationships.

5. How do you evaluate whether a new innovation might unintentionally erode human trust or connection? 

Evaluating whether an innovation erodes human trust often comes down to gut instinct. To do this, we put ourselves in the customer’s shoes, asking: Will this improve their experience or be more frustrating? If our offering ends up feeling like a “call-your-cable-provider” to get answers, that’s a huge red flag. At the same time, we try to stay objective. Sometimes automation brings real value. But we always weigh that against the potential for subpar customer service. If the savings or speed improve the experience and build trust, it’s a win. But if it leaves people wishing a human were involved, we’ve missed the mark.

Internally, we focus on helping our team thrive alongside automation by showing them how AI can amplify their potential. It’s about demonstrating how tools like AI can make their work easier, better, and faster, and ultimately help them grow in their careers. We also invest in a broad ecosystem of support—learning opportunities, mentorship, book clubs, and programs that connect employees across teams and levels. This helps reinforce internally that growth isn’t just about tech, but about human connections and knowledge sharing.

While we lean into automation where it adds value, we’re intentional about keeping a human touch. We always want it to be clear to our customers and our team that effort and care remain front and center.

Get in touch with our MarTech Experts. 

1. In what ways are you utilizing AI to create personalized customer journeys and content across multiple channels? 

At GrowthLoop, we’ve designed a system of specialized Growth Agents, each purpose-built to support the customer journey, with personalization at every touchpoint.

• The Data Agent continuously learns from your first-party data in your cloud, identifying key patterns and behaviors.
• The Audience Agent predicts the best-fit audiences and helps marketers build high-impact segments faster.
• The Journey Agent enables the creation of omnichannel journeys that adapt dynamically—whether across email, ads, SMS, or in-app.
• And the Insights Agent interprets performance data in real time, delivering daily recommendations to optimize what's working and fix what's not.
• Together, these agents form a Compound Marketing Engine, which empowers marketers to launch smarter, more personalized campaigns that improve every day and drive true business outcomes like revenue growth, conversion lift, and retention.

2. What challenges have you encountered in integrating AI-powered marketing solutions with your existing data infrastructure? 

One of the biggest challenges we hear from enterprise organizations is that they don’t see AI delivering value, and that’s often because the AI is pulling from incomplete or fragmented data.

We believe you don’t have an AI strategy if you don’t have a data strategy. 

And the truth is, your best, cleanest, and most valuable data doesn’t live in legacy marketing clouds—it lives in your enterprise cloud. That’s why traditional AI-powered marketing tools, which rely on syncing or copying data into their own environments, fall short before they even start.

At GrowthLoop, we were built from the ground up to run directly in the data cloud, so our Growth Agents can work with the full fidelity of your first-party data—securely, in real time, and without movement or duplication. 

This alignment between AI and cloud data isn’t just a technical preference. It’s the cornerstone of compound marketing. When AI can act on your best data continuously, marketers can iterate faster, improve performance daily, and create a compounding effect on growth.

3. What initiatives are in place to ensure that marketing strategies are directly linked to measurable business outcomes, such as sales and customer retention? 

At GrowthLoop, our goal is to make sure marketing isn’t just about launching campaigns—it’s about driving results that the business can see and measure. The Growth Agents work together to create a system that constantly learns from your data, activates personalized journeys, and improves outcomes over time.

And when it comes to proving impact, marketers can set up holdout groups with just one click for incrementality reporting. That means you can measure how much lift your campaign is actually driving, like increased conversions, higher revenue, or improved retention, compared to what would’ve happened with no action at all.

It’s this kind of continuous, provable feedback loop that powers compound marketing: a strategy focused on learning faster, and driving substantial, incremental improvements that compound over time.

4. How do you facilitate collaboration between marketing professionals and AI systems to optimize campaign development and execution? 

Our vision of AI is not to replace marketers, it’s to empower them. That’s why our interface is built like a studio, a space where marketers collaborate with AI agents powered by their first-party data. Marketers can start from AI-suggested audiences, build personalized journeys with AI recommendations, or edit directly with full control. 

It’s a human-in-the-loop system that makes good marketers great, and great marketers unstoppable. We’ve found this approach leads to faster iteration, more creativity, and ultimately better performance.

5. How do you measure the impact of personalized marketing efforts on customer engagement and satisfaction? 

Our platform allows marketers to directly track the effectiveness of personalization. All performance data is connected back to the data cloud, so we can slice performance by segment, journey, and channel.

One of the benefits of connecting to a single source of truth in the enterprise cloud is that marketers can benefit from the full breadth of company and customer data — that includes information on customer engagement and satisfaction. 

The result is a full picture of how personalization drives not just engagement, but business value. And the AI agents within GrowthLoop are constantly analyzing those insights to improve future campaigns.

6. How do you prepare for future trends in AI-driven marketing to maintain a competitive edge?

We believe the future belongs to marketers who can move fast, learn continuously, and execute across every channel with precision. That’s why we’re investing heavily in agentic AI that adapts to your business, not the other way around. 

We’re also building a community of forward-thinking marketing teams who embrace compound growth via small improvements that add up over time. Our roadmap is shaped by these customers and the belief that the next era of marketing will be driven not just by technology, but by how fast teams can act on their data with confidence.

Get in touch with our MarTech Experts. 

1. What factors should be considered when extending collaborations to ensure mutual benefit and continued impact?

The key is to ensure that all parties can see continued value in the partnership. In a sense, it is like a triangle of three questions: 1) what do customers need, want and value? 2) what is your brand partner trying to achieve? 3) what are you [Nectar360] trying to achieve? 

When designing any programme, it's important to address these three questions. By doing so, we can deliver mutual benefit and increase the likelihood of the partnership’s success.

2. Nectar360 recently announced the partnership between the Nectar loyalty scheme and the Woodland Trust has been extended to 2027. What metrics should be used to evaluate the success of conservation-focused loyalty initiatives in particular?

There's no one-size-fits-all metric, all partnerships are unique. In sustainability partnerships, the success metric might be raising awareness of a specific cause or driving meaningful change on an issue. 

For instance, conservation-focused loyalty initiatives aim to change customer behaviour to help drive change for the environment, encouraging actions such as planting trees, donating to food initiatives, or reducing water usage.

With our Woodland Trust partnership, Woodland Trust members who’ve lined their Nectar account can earn additional Nectar points by purchasing their favourites, including apples, eggs, chicken, turkey, reusable bags, and cards from Sainsbury's. Customers can also donate points to support environmental efforts like sowing wildflower meadows, planting trees, and protecting woods.

In our Severn Trent Water partnership, the goal of the trial is to encourage customers to use less water. Success is measured by how well the loyalty scheme's incentives, like extra Nectar points coupled with lower water and energy bills, promote and sustain this behaviour. An increase in Nectar membership numbers would also be a positive metric for evaluating the impact of such collaborations.

3. How can loyalty programmes effectively align with broader sustainability initiatives?

The most important thing is to ensure the value exchange and outcomes are clear to the people that engage with them. Whether they're buying something or redeeming points, they need to know not only what the initiative is supporting but also how it contributes to the sustainability or environmental measures behind it.

4. How can companies ensure transparency in reporting the environmental impact of such programmes?

Companies can ensure transparency in reporting the environmental impact of their programmes by leveraging the scale and marketing reach of partnerships like Nectar. This approach drives engagement and heightens awareness of the outcomes delivered. Additionally, publishing comprehensive CSR reports that outline sustainability goals, priority areas of focus, key commitments, and progress is crucial. Aligning these goals with the UN Sustainable Development Goals ensures that the company is making a significant impact and playing a leading role in building a more sustainable food system.

Sainsbury's Plan for Better exemplifies this approach, with its three interlocking pillars: Better for you, Better for the planet, and Better for everyone. This ensures that stakeholders and customers are informed about the company's efforts and achievements in sustainability, thereby maintaining transparency and accountability.

5. What are the challenges in aligning corporate sustainability goals with customer reward systems?

Traditional programmes focus on straightforward transactions, whereas aligning sustainability and rewards is more complex as it requires us to impact customer behaviour for a specific cause.

Evolving beyond this requires creative thinking and advanced insights. Understanding the impacts of behaviour, whether related to sustainability or commercial goals, can be complex. Without advanced insights capabilities and the ability to engage customers creatively, it becomes challenging for marketers to determine the appropriate level of loyalty for a given behaviour.

6. How can similar models be adapted to address other sustainability challenges?

Just as with the Severn Trent example, which incentivises reduction in water usage, or the donation of accumulated Nectar points to fund the Woodland Trust’s conservation activities, there is scope for adaptation within this model to support other sustainability objectives. That could be switching the type of energy someone uses to a greener option or rewarding for the use of electric car charging e.g., customers are rewarded through Nectar for using Sainsbury’s Smart Charge facilities.  

The principle of getting value back for changing your behaviour is the basis of loyalty programmes. So, as well as - or instead of - giving financial value back to members, these schemes can absolutely be used to drive positive actions that support the planet, with consumers incentivised by a new type of currency: the knowledge they are doing good.

Get in touch with our MarTech Experts. 

1. How has the adoption of CTV advertising influenced your organization's ability to reach high-intent audiences across multiple channels? 

CTV is generally trending in ways that benefit AdRoll immensely. You have the big media companies shifting toward hybrid ad-supported models that are really attractive to consumers, which is bringing in lots of new audiences. There was an 8% jump this year in traditionally subscription-focused consumers watching at least one ad-supported outlet. It’s not just the young, budget-conscious people anymore, and that gives us more reach, especially amongst audiences that appeal to B2B advertisers. 

2. How do you ensure seamless integration of CTV campaigns with other digital marketing efforts to create a cohesive customer journey? 

We really like to think of CTV as analogous to practicing before a big game or other kind of “in the moment” event. CTV prepares the consumer for an easier decision-making process that is more likely to happen away from the TV screen. For that reason, we have cross-channel capabilities as core to our offering. For example, you can target your CRM lists with CTV ads, then run display ads to those CTV ad viewers. Bringing all channels into a single campaign view makes it easy to track holistic performance while still allowing advertisers to pivot, isolate screens, and pinpoint what’s working.

3. What challenges have you encountered in implementing AI-driven CTV advertising solutions, and how have they been addressed? 

We have a tremendously powerful AI bidder, BidIQ, which works for any impression on any screen. It helps us proactively optimize price without sacrificing performance. For display, it optimizes for performance proactively on engagements like clicks and conversion probability, which is much harder to do with CTV. A big focus for us this year is identifying more actionable key performance indicators for CTV that make sense when training an “intelligent” bidder. 

Another area we’re thinking carefully about is creative generation and optimization. Many of our customers are finding the cost of ad creation to be a cause for hesitation when investing in a new channel. AI can help make video ad creative affordable, but it can’t be at the expense of both the brand and the user experience. Overly artificial feeling ads come across as disingenuous, so we’re thinking of these solutions as facilitators rather than outright creators.

4. What systems are used to map personal devices to households to enhance targeting precision in CTV advertising? 

We’ve found a great partner in Experian for this purpose. They’ve been doing enhanced targeting for a while now and underpin so many major components of CTV ads, so it’s great to leverage their technology. This is a major complement to our household identity solution, which has traditionally focused on resolving identity on the web with things like CRM lists, hashed email addresses (HEMs), and cookies.

5. What ethical guidelines govern the use of customer data in your CTV advertising strategies? 

We’ve leaned in hard on developing privacy-forward workflows for several years now and will continue to do so, even as Chrome walks back its deprecation of third-party cookies. This aligns well with the CTV ecosystem and the use of user-resettable device IDs. We still work directly with so many brands and have integrations with their customer systems, so we work with a lot of CRM data and personally identifiable information (PII). These items are pseudonymized the moment they hit our system, so we’re never holding any personal data. Keeping brands and their customers safe is one of our top priorities.

6. How is your organization preparing to adapt to the projected growth in CTV ad spending and evolving consumer viewing habits?

We feel the industry is largely acclimatizing users to mid and bottom funnel ads. You see more QR codes, more B2B/B2C ads prompting users to download a coupon or take advantage of seasonal offers. That’s good news for AdRoll, because we can build trust between brands and viewers when they understand why they’re seeing certain ads. That familiarity means delivering consistent performance, and we’ll be there with an offering that allows our customers to reach those audiences whenever they want. We’re running at full speed to deliver quality supply, the best service, comprehensive audiences and accurate targeting, alongside insightful, unbiased outcomes. 

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1. What are the strategic considerations for agencies when entering emerging markets with value-led initiatives?

When entering emerging markets, it’s crucial to lead with empathy and education. At Sotavento Medios, we prioritize understanding the unique challenges and cultural nuances of each market before offering solutions. We look at factors such as digital literacy levels, infrastructure, consumer behavior, and the local economic landscape. Our goal isn't just to introduce SEO services, but to co-create value with local businesses. That means tailoring campaigns that make sense for where the market currently is—not where we think it should be. It's also about being patient and building trust, rather than pushing for quick wins.

2. What approaches can agencies adopt to establish credibility and long-term relationships with local SMEs?

Consistency together with authenticity produces credibility. Sotavento Medios believes that real SME relationship development begins with active listening to business challenges. We provide strategic recommendations which are both transparent and achievable from that starting point. Our approach avoids false commitments because we teach our clients about digital transformation while becoming their strategic partners through the process. Our commitment to SME growth becomes evident through  free audits and consistent support.

3. How can agencies design programs that support SMEs in their digital transformation journeys?

We help overwhelmed SMEs simplify their digital transformation journey by dividing it into four distinct phases starting from awareness through optimization to automation and scaling. Sotavento Medios creates adaptable SEO digital marketing packages with minimal barriers which enable SMEs to enter the digital space comfortably. Our SEO company delivers tutorials and dashboards to help business owners gain control and empowerment. The key to digital transformation success involves giving business owner confidence and clarity rather than just investing in new technology.

4. How important is local community involvement for agencies expanding into new regions?

Sotavento Medios integrates fully into new markets beyond basic market entry. Local ecosystem membership instead of outsider status helps build trust and generates lasting positive relationships with the community. Our presence in the market remains grounded because of our accountability to it. Our genuine impact grows stronger when we provide more support to our community.

5. How should agencies adapt their offerings in response to changing economic conditions in different markets?

Agility is key. SMEs frequently need to reduce costs during economic shifts which is why we use SEO and content marketing  to deliver high return on investment at affordable prices. Sotavento Medios provides flexible modular SEO packages that enable customers to adjust their services according to their current needs. During challenging times we provide extensive education to our clients about maximizing marketing value from their investment. We track local economic indicators to modify our messaging and pricing structure alongside service delivery mix for staying relevant and providing support regardless of the economic situation.

6. What trends do you foresee shaping the future of digital agency services in the next five years?

The upcoming future will feature customized solutions and clear visibility combined with unified systems. AI and automation will dominate workplace evolution yet human interaction will become an increasingly important asset. Sotavento Medios actively prepares to serve clients who need personalized solutions and instant data analytics with ethical marketing approaches in a future market. Our SEO agency develops brand strategies that combine performance objectives with sustainability and purpose-driven marketing because these elements will become essential to brand success.

Get in touch with our MarTech Experts.