
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 Georgia Campbell, Head of Strategic Partnerships at Kontext.
What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies?
Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts.
Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively.
Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions.
Some examples of audience types include these (and hundreds more):
- In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior.
- Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months.
- Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors.
- Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine’s Day, etc
- Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value)
- Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail)
By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits.
How is Kontext’s data sourced, and what differentiates it from other data providers?
Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases.
This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles.
Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior.
Our data stands out due to its:
- Deterministic Nature: We capture 1st-party data as transactions occur (all in real time)
- Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior.
- Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions.
How does Kontext ensure the accuracy and reliability of its audience data?
Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data.
What types of brands or verticals might resonate the most with Kontext audiences for activation?
Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space.
- Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns.
- Health & Wellness: Identifying consumers with specific health and wellness interests.
- Automotive: Targeting potential buyers of electric vehicles or eco-friendly products.
- Financial Services: Engaging high-value shoppers with premium credit card usage.
- And many more
How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies?
As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers:
- Direct Consumer Insights: Accurate and consented data directly from consumer interactions.
- Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage.
- Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices.
What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers?
Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through:
- Consented Data Collection: All data is collected with explicit consumer consent.
- Robust Security Protocols: Data is encrypted and secured with industry-leading practices.
- Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA.
- User Control: Consumers have the ability to opt-out and manage their data preferences.
Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data?
To give you a sense of how Kontext data can be applied, here are two use-cases:
- Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext’s custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS.
- Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign.
Thanks for the interview. Any recommendations for our readers if they want to learn more?
For those interested in learning more about Kontext, reach out for a personalized consultation.
About our expert

Georgia Campbell, Head of Strategic Partnerships, Kontext
In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company’s strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext’s offerings.
Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory.
In this Q&A, Georgia shares her insights on Kontext’s Onboarding partnership with Experian, offering perspective on how Kontext’s unique insights can unlock new opportunities for advertisers and brands alike.
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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.