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Exit Bee appoints Victoria Pindar as UK VP of Sales
Published by Jessica Weisman-Pitts
Posted on November 29, 2022
3 min readLast updated: February 3, 2026
Global Banking & Finance Review®
Company
Published by Jessica Weisman-Pitts
Posted on November 29, 2022
3 min readLast updated: February 3, 2026
The leader in micro-moment advertising continues on its growth trajectory with another senior hire
The leader in micro-moment advertising continues on its growth trajectory with another senior hire
London, UK – 29 th November, 2022: Exit Bee, the leader in micro-moment advertising, has strengthened its team with the appointment of Victoria Pindar as VP of Sales in the UK. Victoria will help to spearhead further growth within the UK, whilst developing key strategic partnerships.
With more than 15 years’ experience in the advertising industry, Victoria was formerly Group Digital Manager at Hearst Magazines UK, before joining Ex.Co – formerly Playbuzz – where she rose through the ranks to Managing Director.
Victoria says: “I was attracted to Exit Bee’s innovative, start-up culture and its unique technology. It offers a perfect marriage of effective branding and ground-breaking technology; helping clients to supercharge effectiveness in the attention economy. No one measures the way Exit Bee does and there is so much we can achieve when it comes to strategic brand storytelling in crucial micro-moments.”
Pavlos adds: “We are thrilled to welcome Victoria to the growing team. I’ve no doubt that she will help to deliver outstanding results to more clients at this exciting time in Exit Bee’s development – enabling more teams to benefit from the impactful creative opportunities that our technology offers, and making the most of both content and context in an increasingly busy online world.”
Exit Bee uses pattern recognition and machine learning to detect or predict the moments users disengage from website content, their attention becomes available and are more likely to interact with an ad campaign. It identifies the in-between micro-moments; before serving timely, premium, brand safe and high performance, ad campaigns – leveraging contextual analysis and natural language processing to target users with the most relevant campaigns. In this way, it runs next generation ads for agencies, brands and publishers globally – targeting users the moment they’re most receptive and likely to engage and setting new performance standards.
For more information:
Maryum Sheikh, Press Lead, The Digital Voice™
press@thedigitalvoice.co.uk
About Exit Bee:
Exit Bee was set up to reimagine advertising. Founded in 2018 in Greece and 2019 in the UK, it was launched to offer an alternative to interruptive banners, pop-ups, and other standard digital display formats.
Using pattern recognition and machine learning, Exit Bee can determine when an individual has come to the end of an online journey and is most likely to be receptive to creative and impactful advertising messages – delivering impactful and contextually relevant display ads in these critical ‘micro-moments’; brief periods of time during which users’ attention becomes available.
Exit Bee display ads have been proven to deliver up to 30 times increased engagement, alongside 100% share of voice and over 85% viewability; offering a versatile, highly effective display ad opportunity for brands, and a new revenue opportunity for publishers.
Clients span sectors across both B2B and B2C markets: From Adobe and Dell, to BMW and VW, Sky and Vodafone, Coca Cola and RedBull; all focused on delivering powerful campaigns in spontaneous moments between online journeys and revolutionising display advertising, for brands and audiences alike.
Micro-moment advertising refers to targeting consumers during brief instances when they are most receptive to marketing messages, often when they are disengaging from content online.
A VP of Sales, or Vice President of Sales, is a senior executive responsible for leading a company's sales strategy, managing sales teams, and driving revenue growth.
Pattern recognition in advertising involves using algorithms to identify user behaviors and preferences, enabling targeted marketing strategies based on predicted actions.
Machine learning is a subset of artificial intelligence that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention.
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