In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Rachel Herbstman, VP of Data Innovation, and Anastasia Dukes-Asuen, Senior Director of Advanced TV Data & Insights at Ampersand.
Could you introduce us to Ampersand and discuss your approach to TV advertising?
Ampersand, a joint venture between Comcast, Charter, and Cox, is a media sales organization that offers a unified footprint, unlocking unparalleled scale and unique data/insights for local and national advertisers. Ampersand gives advertisers true audience first planning, scale in execution, and advanced measurement of their TV investments, representing 117 million multiscreen households and over 75% of addressable households in the U.S. (64 million households). We help clients reach their unique target audience and deliver their stories – anytime, anywhere, and on whatever device.
How does adding streaming to a linear campaign, or vice versa, enhance overall campaign performance for marketers?
Herbstman: Marketers have recognized that multiscreen media strategies are the strongest as viewership continues to fragment. Unique audiences exist in traditional TV and streaming, and failure to include either media channel will reduce the total reach opportunity. These channels have proven to validate unduplicated audiences.
In our local business, adding streaming to a historically traditional linear-only media strategy increased campaign reach by 33%. Conversely, adding linear TV to a historically streaming-only media strategy increased reach by 209%. These metrics are validated by matching media exposures to an authenticated households subscriber ID and represent mass opportunities to reach new audiences with a multiscreen media strategy.
When considering reallocating media investments, how does Ampersand help clients determine the most effective channels for specific campaigns?
Herbstman: For a brand that historically invested in traditional TV, either national or local broadcast, we can provide insights to analyze the performance of any media campaign. The insights can include high-level metrics like reach and frequency and more granular metrics like unique reach per network. By seeing both the high-level results and more detailed granularity, we can provide optimization recommendations for funding other activation opportunities.
Our database of past campaigns consistently demonstrates that gaining new eyeballs with a national TV campaign usually plateaus after a few weeks. In other words, if most of your intended audience is reached after about three or four weeks of national television, reaching any new viewers can be exponentially more expensive.
We’ve built an Addressable Simulator tool for national advertisers that shows the potential impact of shifting a portion of the national media weight, specifically from the latter part of a flight, into addressable TV. Using our licensed Experian data set, we can measure any standard age/gender target or any advanced target to understand the complementary impact that addressable audience has on national media. This tool has dynamic inputs of CPMs and incidence rates, flight lengths, and budgets to simulate different scenarios and give marketers some intelligence on what holistic reach against that Experian segment they could expect with one given budget using brand-safe, traditional, and streaming inventory with an addressable activation.
Additionally, we’ve developed an interactive eCPM calculator that helps national advertisers assess the cost efficiency of adding addressable TV to their traditional campaigns. By dynamically inputting CPMs, marketers can evaluate tradeoffs between media types for upcoming campaigns.
Are there audience demographics that benefit from these combined media strategies, and what indicators or data points guide your recommendations to add cable to a local broadcast campaign versus other reallocations?
Herbstman: By including cable or streaming in a local effort, a client can use a data-driven approach to find more intended viewers in other premium content. Utilizing the vast library of Experian audience segments paired with our robust sample of 64 million data-enabled homes enables Ampersand to provide insights into the most valuable networks and dayparts that the intended viewer will likely watch on either platform.
With identity and viewing insights at scale, we can understand how consumers watch TV, even for inventory we have yet to sell. Our goal is to help marketers understand what’s happening as a result of their investments at a holistic level.
We can analyze a campaign running across hundreds of designated market areas to quickly and simply understand the holistic delivery of their broadcast and cable weight by pulling back set-top-box exposures on broadcast and Ampersand-purchased cable on our measurable footprint. Then, we can determine the share of measurable reach that each portion’s media weight contributes to.
We recommend optimizing towards a more balanced approach, where the reach levels for broadcast and cable mirror each other, creating a more effective market media mix.
Once we confirm cable’s potential in a market, we analyze network and daypart metrics to adjust key areas to optimize the campaign. We invite marketers to use these insights to measure their local or national TV campaign performance and garner unique perspectives to re-balance investments to drive reach and optimal frequencies.
Are there common missteps to avoid?
Dukes-Asuen: Ampersand’s decades of experience with media and data insights have allowed us to create an extensive database complete with targeting and measurement benchmarks. We use this database to curate best practices for brands and help set them up for success, keeping their goals and objectives for reach and frequency in mind.
Some clients spread their investment levels too thin, whether through short flight windows, low weekly frequencies, or targeting overly niche audiences that don’t fully support KPI goals.
One way to avoid these missteps is to set up a test-and-learn plan to validate a hypothesis and refine media strategies, ensuring campaigns are structured to garner meaningful insights. Ampersand can help ensure the test itself is constructed and supported to yield statistically relevant results, and the learnings can then be applied to the next campaign.
How does Experian’s data enhance your campaigns at Ampersand?
Dukes-Asuen: Within our Experian license, we can map the Experian Consumer View databases against our multichannel video programming distributors subscriber base in a privacy-compliant way to plan and activate them seamlessly. Experian has a rich set of audience targets and segmentation that we utilize to identify households that can be used for audience-based media execution with Ampersand. By defining the right audience—whether consumers are likely to purchase a product, exhibit certain behaviors, or demonstrate specific values—we enhance campaign performance and improve media spending efficiency for our advertisers.
Additionally, how do you believe AI and other new technologies will impact your media buying approaches in the future, and how might these innovations improve campaign effectiveness and provide value to your clients?
Herbstman: We have a strong use case on the measurement and analytics end. Using AI, we can aggregate a massive amount of historical data—viewership and exposure data. AI helps us understand overarching market trends and media performance to analyze campaign results and inform future campaign optimizations. The value of AI is in its role as an additional technology layer, enriching our insights portfolio and providing faster intelligence that enhances campaign effectiveness and delivers greater value to our clients.
Can you share an example of how precise audience targeting and segmentation, powered by Experian, have led to significantly better media spend reallocations and campaign performance for marketers?
One great example is how a national cruise brand dramatically improved its media spend and campaign performance by utilizing precise audience targeting and segmentation through Experian. By combining Ampersand’s addressable TV with Experian’s data-driven insights, they achieved a 14% incremental reach, a 3.1x higher frequency, and a 24% lower effective CPM. This strategic approach allowed them to reallocate their media spending more effectively, ensuring every impression reached their custom target audience.
Thanks for the interview.
For those interested in learning more about Ampersand, reach out for a personalized consultation.
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Cross-device matching and pixel-based foot traffic attribution reporting empower digital marketers with greater control of location-based campaigns.RALEIGH, N.C. (PRWEB) AUGUST 04, 2020 Tapad, part of Experian a global leader in digital identity resolution, and Reveal Mobile, a leader in location-based marketing, today announced a collaboration that combines Tapad's digital cross-device matching technology and pixel-based attribution features with Reveal Mobile’s VISIT Local, the software that hundreds of digital agencies and brands use for location-based analytics. The partnership is designed to drive improved performance by optimizing ad targeting and messaging for location-based campaigns. Powered by Tapad’s privacy-safe cross device matching, marketers using VISIT Local to power location-based campaigns can enhance how they reach shoppers. When one member of a household shops for groceries, clothes, household goods or any other consumer item, a conversation between multiple members of the household typically takes place beforehand. With cross device matching, marketers can reach everyone who has influence over what to buy and where to buy it. VISIT Local users can expand location-based services with a single click to include devices that share the same household, including targeting across multiple devices owned by the same user, allowing advertisers to maximize messaging and increase their share of wallet among consumers. “VISIT Local has always given our customers access to high-intent location-based audiences. With the addition of cross device matching from Tapad, advertisers can boost audience sizes up to 300 percent while maintaining full confidence in quality and relevance,” says Brian Handly, CEO of Reveal Mobile. “VISIT Local users can now apply multiple criteria and attributes to a single location-based audience, giving them the advanced control and transparency they need.” As reliable attribution becomes increasingly complex for marketers and ad buyers who need to prove value, the addition of Tapad’s pixel-based foot traffic attribution to VISIT Local enables the measurement of actual campaign effectiveness by tying ad views to in-store foot traffic. This new feature, which will be available in VISIT Local this fall, lets Reveal Mobile customers understand who visited a retail location as a result of being served an ad, providing a more accurate view into return on ad spend during and after advertising campaigns. “Tapad’s goal is to empower marketers with digital advertising efficiencies at scale across devices,” says Mark Connon, COO of Tapad. “With cross device matching and pixel-based foot traffic attribution, marketers using VISIT Local can better address the consumer’s preferences and habits, and deliver them consistently actionable information on user behavior. These capabilities advance location-based advertising in ways marketers need and want.” In addition to these new features, VISIT Local’s location-based audience builder now enables marketers to create custom audiences made up of people who have visited different places on different dates. This gives VISIT Local users the ability to segment and create the most highly targeted audiences possible. For example, a marketer who wants to advertise for a chain of restaurants can easily target visitors of different competitors in different cities. Or a marketer who wants to advertise vacation destinations can target people who have been to various resorts at different times of year. Or a marketer who wants to advertise the release of new music can target people who have been to concert venues in different cities on different dates. “Many of our customers need to create highly custom audiences so they can run experiments, test messaging, and run increasingly competitive campaigns,” says Handly. “Everyone who uses VISIT Local can now apply multiple criteria and attributes to a single location-based audience, giving them the advanced control and transparency they need.”To learn more about Tapad’s digital identity resolution products, visit our identity solution page. To learn more about Reveal Mobile’s location-based marketing offerings, visit http://www.revealmobile.com. About TapadTapad, Inc. is a global leader in digital identity resolution. The Tapad Graph, and its related solutions, provide a transparent, privacy-safe approach connecting brands to consumers through their devices globally. Our one-of-a-kind Graph Select offering enables marketers the flexibility and freedom of choice to correlate devices to varied objectives, driving campaign effectiveness and business results. Tapad is recognized across the industry for its product innovation, workplace culture and talent, and has earned numerous awards including One World Identity's 2019 Top 100 Influencers in Identity Award. Headquartered in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo. About Reveal MobileReveal Mobile is a leader in location-based marketing, analytics, audiences, and attribution. Creator of VISIT Local, VISIT Match and VISIT Data, the company’s products help digital agencies, brands and retailers of any size leverage location data to understand and reach the right audiences. Reveal Mobile is CCPA compliant and a member of the Network Advertising Initiative, which conducts an annual privacy certification. The company is based in Raleigh, NC. For more information, visit https://revealmobile.com. Contact us today
As the pandemic took hold of the country and stay-at-home orders were put in place, one of the consumer categories that was most adversely affected was the restaurant industry. But while sit-down restaurants were forced to pivot to curbside delivery and other inventive means to make ends meet, quick-service restaurants (QSRs) that already had a solid delivery program or drive-through in place saw a surge in new guests. “Dinner and a movie” took on a different meaning as people either picked up or ordered in to make date night happen, and QSRs rose to the occasion like never before. With some states beginning phased re-openings of non-essential businesses, some restaurants are now allowed to open so long as they follow social distancing rules or allow for outdoor dining areas. But that doesn’t mean consumers will be ready to race out and participate in this new dining experience. Many may remain apprehensive about safety and continue to “dine at a distance” until they’re confident that they can remain healthy, or until a successful vaccine goes into use. Even as states begin their phased re-opening plans, many continue to work from home—which has greatly affected both dine-in and QSR venues. Those who saw a robust lunchtime crowd probably saw a drop-off while business-based locals shifted their office plans. However, new opportunities have emerged for restaurants to reach out to their regular lunch crowd to offer delivery or attract a whole new lunch crowd who may not have thought to order from them before. Between the challenges of a post-pandemic world, a shifting of diner priority, and an uncertain future facing the restaurant world, it’s now more important than ever before to leverage an intelligent, data-driven marketing strategy to ensure your campaigns reach the right consumers, and also attract new customers to expand your customer base over time. All of this can be done using the power of data, but having the right data is key to making the most of your marketing efforts. As you’re crafting your current marketing plans, it’s important to look at all the variables you need to address to create more targeted messaging, thus helping you zero in on your most desired consumer base. The first thing to consider is, how well do you know your guests, and what do you know about them? If you have no insight into their dining habits or preferences, it will be challenging to come up with messaging that will speak to them. But with the right data, you can discover if they frequent your competitor’s locations (and if so, how often), which apps they’re using to order food, which days of the week, and even which meals they are most likely to order. You can also use this information to better understand how often you factor into your customer’s dining plans by understanding if they are beginning to commute again, or continuing to work from home, and if the latter, do they live near one of your locations. Data can also help you discover more about who they are, so you can even further tailor your messaging to their needs. Let’s say your target customer is married with children. Addressing their busy life as a professional and a parent, and sharing how you can ease the burden of dinnertime to make life easier for them, may be exactly the kind of message of support they need to encourage them to reach out to you. Using data based on demographics, lifestyle, behavior, attitudinal and mobile location data can help you cook up a marketing strategy with precision and success, resulting in more diners knocking on your door (or at least, calling for take-out). Another key component to consider is the use of mobile location data, which Zeta Global cites1 as being the most important data chain restaurants can use for their marketing plans. Not only can this data be used to better understand share of wallet and potential up-sell opportunities, but it can also be leveraged to reach out directly to potential new customers that have historically frequented your top competitors. You can also use mobile location data to connect with consumers who may be more drawn to your restaurant because of your delivery or curbside pick-up options, and craft outreach based on that information that will encourage them to order with you. As Hospitality Tech pointed out2, building trust in a post-pandemic world is key for QSRs who want to continue to encourage loyalty with current guests, and entice new ones to place orders. The key to making that happen is data. By deploying marketing messages that resonate, activating them on the channels your guests use most, then measuring the impact of your campaigns, QSRs can create more opportunities for success and customer connection that can translate into real, long-term results. Plus, the right data can help you increase store traffic with high value guests, reactivate guests who haven’t visited in a while and find new individuals who live nearby that closely resemble your current high value guests. Experian has decades of experience in helping organizations better communicate with their customers across all marketing channels. How can we help you? Find out more about our restaurant marketing solutions. 1https://zetaglobal.com/blog/chain-restaurants-need-customer-data/ 2https://hospitalitytech.com/new-marketing-communications-playbook-during-covid-19
2020 has been a year of change and challenges for businesses and consumers alike. With the global pandemic, we have seen stay at home orders put in place, a shift to work from home for many, major events canceled, schools shifted to online format, graduations and other end-of-year activities canceled, and more. As we move through the phases of reopening, everyone is figuring out how to navigate the ‘new normal’ in the wake of new safety requirements, businesses are working to determine what their day-to-day operations will look like as they reopen. The changing times have implications on how consumers act, what and how they purchase, and how they manage their daily lives. With these changing times, consumers are quickly adapting their lifestyles which impacts the choices they make on how they shop, bank and provide for their families. Businesses across the United States are trying to understand how consumers are feeling during this time and how that might correlate with their visitation patterns. Using Experian’s Mobile Location data, coupled with Consumer Sentiment data, we looked at foot traffic and sentiment trends in the retail space throughout the pandemic. As you can see from the chart, there has been a steady increase in household visits to retail locations since March that correlates with the rise in sentiment. Note the differences in visitation patterns across the regions. You can see some foot traffic spikes, which correlate to reopening phases in several states during the week of May 4th and Memorial Day weekend. However, you see a lower average of foot traffic in the Northeast U.S. where reopening phases are rolling out at a slower pace. It is going to be essential for businesses to craft marketing strategies on a regional level as guidelines for reopening are the state-level. This means that a business’s consumers look different based on where they are located and might require more targeted and sensitive messaging. For example, using Experian’s Mosaic segmentation, we further delved into what consumers look like today by analyzing those Mosaics who have the most positive change in regard to the pandemic, versus those that had the most negative. You can see in the charts that there is a significant difference between the Mosaics trending positively versus those trending negatively. Consumer segments have drastically different sentiment, and foot traffic patterns and understanding how your consumers are feeling and where they are shopping will help improve your ROI. Having a comprehensive and targeted marketing plan will be essential for companies as they navigate the intricacies of reopening. Experian’s Reopening Package allows brands to take a phased approach to better understand and reach both new and existing customers through targeting, analytics and key insights. Companies can analyze their consumers’ sentiments and visitation patterns during the pandemic, segmented by Experian Mosaic® lifestyle segmentation group. Businesses can then take those insights and apply them to other models, or create their own models, to build out and run effective marketing campaigns that target current and prospective customers. A successful long-term marketing strategy needs to be data-driven, leveraging data and analytics to help craft targeted messaging. We can see that consumers want to shop again – foot traffic patterns appear to have increased since June, and sentiment is up – now it is necessary to understand where your customers fit into the spectrum. Missed our recent webinar, How COVID-19 Has Shaped Consumer Behavior for Retailers? Access the on demand version here.