martechoutlookapac
Home » News

Revving Secures £107M to Combat UK Adtech's Cash Flow Crisis

Martech Outlook | Tuesday, August 25, 2026

Fintech Scale-Up Tackles 120-Day Payment Terms Head-On, Unleashes Industry Growth, Bolsters UK Competitiveness and Fuels £8.6 Billion Economic Impact

London – Revving, an innovative fintech scale-up, transforming the digital media payment landscape with a completely fresh take on traditional invoice factoring set to transform UK competitiveness in the global adtech market, today announced a landmark investment of £107 million led by one of the world’s largest asset managers, DWS. The investment package includes £100 million of debt funding which will be invested directly into the UK adtech sector and wider digital economy, which is vital for the future growth of the UK economy, but has been largely neglected by traditional financial institutions.

This significant investment will enable Revving to address the crippling issue of extended payment terms that has long plagued digital industries, straining cashflows and hindering productivity and growth. Over the next three years, Revving expects to fund up to £1.8 billion to UK digital businesses. According to the IAB, the industry body for digital advertising, this vital injection of capital could have a 4.8x multiplier effect, generating a potential £8.6 billion boost to the UK economy. 

Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

“Over 50,000 UK businesses went under last year due to late payments. We are on a mission to eradicate this and this strategic investment is a game-changer for Revving and the entire digital economy” said Chris Pettit, CEO of Revving. “Revving has built a highly sophisticated platform specifically for the digital economy that completely reinvents the way traditional invoice factoring works. 

The UK is betting big on the digital economy as a key driver of future growth, and the adtech sector, a powerhouse contributing £129 billion to the UK economy and supporting over 2 million jobs, is critical to this. Yet, despite its potential, UK adtech faces significant challenges in the form of extended payment terms that often stretch to 120 days or more. This is not only stifling growth and innovation, it is making us less competitive against well capitalised US adtech businesses who are taking an increasing share of the global market.

The Complexity of the Adtech Ecosystem

The complexity of the adtech ecosystem, including slow payments between publishers, affiliates, advertising networks, agencies and other intermediaries, results in a domino effect of financial strain across the entire digital supply chain.  Publishers face delayed payments, ad networks in turn struggle to accelerate cash flow for their clients, and programmatic and affiliate businesses are starved of critical cashflow and unable to capitalise on growth opportunities.

SME affiliates are suffering a David and Goliath moment with large platforms such as Google shortening supplier payment terms on the one hand, whilst large brands demand even longer invoicing payment terms on the other, leaving publishers and other digital SMEs invariably caught in the middle and having to fund these costs from their own pocket.

Kevin Edwards, founder and director, APMA, added: “UK affiliate marketing faces a funding bottleneck, with access to growth capital at an all-time low. The industry represents the best of UK entrepreneurship, and this cannot be jeopardised by sluggish payment systems. Revving is leading the way in enabling faster access to affiliate commissions, allowing affiliates to reinvest for growth.”  

Revolutionising Invoice Factoring 

Revving has completely revolutionised invoice factoring for the digital economy. Its innovative receivables funding platform is an industry first that seamlessly integrates with digital platforms and marketplaces to capture sales data and provide instant access to revenue ahead of invoice creation. 

Vlado Spasov, Head of Capital Solutions, DWS, said: “Revving's focus on high-tech digital ecosystems and robust growth trajectory aligns perfectly with our commitment to backing transformative financial solutions in the UK. This investment represents the evolution of private credit as it grows into new and innovative digital sectors.” 

Revving’s portal unifies sales, payments and funding information from multiple sources to provide customers with unparalleled transparency and control over their cashflows, expanding the reach of their solutions and streamlining financial operations.

Key features include:

● Innovative funding model: Revving has developed a new and innovative form of invoice factoring specifically for the digital sector. This funding model shifts credit risk upstream and allows customers to access greater levels of highly flexible funding 

● Tech-driven automated process: Using a proprietary technology platform and credit risk engine with direct integrations into digital marketplaces, Revving is able to leverage granular data to provide an automated funding solution ahead of invoice creation, allowing instant access to sales revenue, improving cash flow and reinvestment opportunities

● Unique payment and credit insights: Revving provides valuable data and insights into supplier credit, payment risk and payment performance, improving market transparency and enabling better financial planning and risk management

Revving client, Warwick Lambert, CEO of Genie Shopping, said, “We have worked with Revving since 2023 and our partnership has achieved record-breaking results. Being able to access our commissions quicker has allowed us to reinvest back into campaigns, driving better results for our advertisers and partners. The Revving portal makes analysis simple and the team’s collaborative approach has allowed us to have full control of how we use the portal.” 

“Payment speed is critical for Publisher and Affiliate growth and success, and Awin is delighted to make payments faster than ever via our partnership with Revving, said David Lloyd, Chief Customer Officer of Awin, a major European affiliate network and a Revving strategic partner.

Revving's innovative approach has garnered significant traction since its launch in 2023. The company boasts a rapidly growing presence in the UK market, serving an impressive roster of leading publishers, advertisers, agencies and networks. For more information about how Revving is transforming digital business, please visit www.revving.io.

 

More in News

Data has emerged as a crucial element for successful marketing strategies in the contemporary digital landscape. Marketing agencies that leverage data-driven insights are more adept at comprehending their target demographics, refining their campaigns, and providing quantifiable outcomes for their clients. Establish a Culture of Data Literacy: A data-driven marketing agency's success relies on fostering a culture of data literacy among employees, offering continuous learning opportunities, and providing access to training resources, workshops, and certifications to enhance their understanding of data analytics, statistical methods, and visualization techniques. Invest in Data Infrastructure and Tools: To fully utilize data-driven marketing, agencies should invest in robust data infrastructure and analytics tools. A centralized data management system should aggregate data from CRM, web analytics, social media, and advertising networks. Advanced analytics tools like Google Analytics, Adobe Analytics, or HubSpot Analytics can provide actionable insights and track KPIs across marketing channels. Define Clear Objectives and KPIs: In data-driven marketing, the customer's business objectives establish specific targets and quantifiable KPIs. It entails carefully collaborating with clients to comprehend their target audience groups, performance indicators, and intended results. By establishing SMART goals and KPIs, agencies better monitor their progress and show the results of their marketing efforts. Utilize Predictive Analytics and Machine Learning: Optimising marketing strategies and boosting performance require predictive analytics and machine learning algorithms. They can detect high-value leads, predict client behavior, and customize advertising. Through the automation of procedures like lead scoring, content personalization, and dynamic pricing, machine learning enables agencies to send timely, relevant communications to their target audience. Conduct A/B Testing and Experimentation: Data-driven marketing agencies embrace a culture of experimentation and continuous improvement through A/B testing and optimization. Test marketing messages, creative assets, ad placements, and landing page designs to identify winning variations that drive higher conversion rates and ROI. Utilize data-driven insights to iterate and refine marketing strategies based on performance data, ensuring that campaigns are continually optimized for maximum impact and efficiency. Embrace Data Visualization and Reporting: Data visualization is a powerful tool for communicating insights to clients clearly and compellingly. Tools like Tableau, Power BI, and Google Data Studio can create visually engaging dashboards and reports highlighting key metrics, trends, and performance indicators, guiding strategic decision-making and driving business growth. Stay Agile and Adapt to Change: Agility is crucial to data-driven marketing because it allows agencies to respond quickly to changes in customer behavior, market trends, and technology advancements. Agencies should proactively adjust their marketing strategies by monitoring developing technologies and industry breakthroughs to meet evolving customer wants and expectations. ...Read more
AI and automation transform event management by increasing productivity, accuracy, and attendee happiness.  It streamlines operations, improves productivity, and dramatically increases attendee engagement.  Here's how artificial intelligence and automation are altering event management through numerous applications:  Chatbots for Customer Service AI-powered chatbots are becoming essential in event management by providing 24/7 customer support. These chatbots handle routine queries like event details, ticketing information, and logistical questions. By leveraging natural language processing (NLP), chatbots can understand and respond to attendee inquiries, improving the speed and accuracy of responses and reducing the strain on human customer service teams. Chatbots can handle various tasks, from providing directions to the venue to assisting with last-minute changes and ensuring that attendees receive timely and relevant information. Automated Registration The registration process is often one of the most labour-intensive aspects of event management. Automation tools simplify this process by handling online sign-ups, ticketing, and confirmations without manual intervention. Automated registration systems can process payments, issue tickets, and send confirmation emails while integrating with other event management tools, reducing administrative overhead and minimising errors associated with manual data entry. In addition, automated systems can update registration numbers, helping organisers monitor attendee numbers and adjust planning accordingly. Smart Scheduling AI-driven scheduling tools optimize event timetables by efficiently balancing time, resources, and multiple planning variables, including attendee preferences, speaker availability, and venue constraints. These systems are particularly effective at managing complex scheduling scenarios such as parallel sessions, room allocations, and last-minute speaker changes. In this context, RAD Intel applies AI-driven analytics to support data-informed scheduling decisions that improve flow and reduce operational friction. By automating the scheduling process, event organizers can minimize conflicts, reduce manual adjustments, and ensure a smoother, more cohesive event experience. Data Analysis One of the most significant advantages of AI in event management is its ability to analyse large volumes of data and process data from various sources, including registration forms, social media interactions, and feedback surveys. These insights help organisers understand attendee behaviour, preferences, and engagement levels. Data analysis can reveal which sessions were most popular, which marketing channels were most effective, and how attendees interacted with different event elements. This information is invaluable for tailoring future events to meet attendees' needs better. Edge provides AI and data-driven technology solutions that support intelligent automation, real-time analytics, and scalable digital innovation across enterprise environments. Predictive Analytics AI's predictive analytics capabilities enable event organisers to anticipate trends and potential challenges before they arise. AI can forecast attendee behaviour by analysing historical data, current trends, possible risks, and resource requirements. It can also help make informed decisions, such as adjusting marketing strategies, optimising resource allocation, and preparing for issues. Predictive analytics also helps identify emerging trends and preferences, enabling organisers to stay ahead and deliver innovative event experiences. Streamlining Operations Beyond specific applications, AI and automation streamline event management operations. Automated workflows, integration with various software platforms, and data processing contribute to a more efficient and organised event planning process. Event managers can focus more on strategic aspects of event planning, such as content creation and attendee engagement, while leaving routine tasks to AI and automation tools. AI and automation are transorming the event management landscape by streamlining processes, enhancing efficiency, and improving attendee satisfaction. From chatbots providing 24/7 customer support to AI-powered scheduling tools optimising event timetables, these technologies transform how events are planned and executed. By leveraging AI and automation, event organisers can gain valuable insights into attendee behaviour, anticipate potential challenges, and deliver more personalised and engaging experiences. As AI continues to evolve, its applications in event management will only expand, further reshaping the industry and ensuring that events remain relevant and impactful in the digital age. ...Read more
In the rapidly evolving European business landscape, B2B sales intelligence platforms are emerging as transformative tools that help enterprises unlock stronger revenue outcomes. These platforms combine advanced data analytics, artificial intelligence (AI), and real-time insights to enhance how companies find, engage, and convert prospects across borders. With Europe’s digital transformation accelerating, such technologies are no longer optional—they’re integral to revenue strategy. The adoption of sales intelligence tools is reshaping traditional B2B sales by reducing manual effort and enabling smarter decision-making. European enterprises are integrating these platforms with existing CRM and marketing systems to automate lead scoring, improve account prioritisation, and personalise outreach in real time. Cloud-native solutions enable distributed sales teams to access unified data across countries, which is especially valuable in Europe’s multilingual, multicultural markets. This emphasis on data-driven sales increases productivity while also strengthening the enterprise's responsiveness to buyer signals and evolving demand patterns. How Are These Platforms Driving Revenue in European B2B Markets? One of the primary ways sales intelligence platforms boost revenue is by enhancing lead quality and prioritisation. Rather than relying on static lists or gut instinct, sales teams use predictive analytics to score prospects based on engagement signals, behavioural trends, and intent data. This means companies can focus resources on high-value prospects more likely to convert, shortening sales cycles and improving conversion rates. Recent trends in B2B sales technology show AI-powered predictive scoring models reducing false positives and significantly increasing accuracy over traditional methods. Moreover, the integration of AI into sales workflows across Europe is delivering measurable ROI. A study highlighted that nearly two-thirds of B2B revenue teams in the UK and EU reported returns within their first year of adopting AI-driven sales and revenue technologies. This underscores how intelligent platforms help sales teams meet rising buyer expectations for speed, personalisation, and relevant engagement. What Trends Are Shaping the Next Phase of Revenue Growth? Looking ahead, several trends suggest that the role of sales intelligence platforms in Europe will deepen further. The market for these solutions is projected to grow steadily across major European economies as enterprises adopt more sophisticated analytics and cloud-based offerings. Another pivotal trend is the shift toward integrated revenue intelligence—where sales intelligence tools do more than identify leads; they also provide strategic forecasting, pipeline health metrics, and personalised engagement recommendations. By aligning sales and marketing data into cohesive insights, European enterprises are better positioned to respond to changes in buyer behaviour and improve revenue predictability. B2B sales intelligence platforms are redefining revenue growth in European enterprises by enabling data-driven decision-making, improving sales efficiency, and offering AI-powered insights that align with how modern buyers research and purchase. As adoption continues to rise, these platforms will remain central to enterprise strategies aimed at sustainable growth across diverse European markets. ...Read more
Brand lift studies are essential to contemporary marketing, providing valuable insights into how campaigns influence brand perception, awareness, and purchase intent. By evaluating changes in crucial brand metrics pre- and post-campaign, marketers can effectively gauge the impact of their initiatives and optimize strategies through data-driven decision-making. Understanding Brand Lift Studies Brand lift studies are research tools designed to assess the impact of marketing campaigns on brand metrics within a target audience. These metrics typically include brand awareness (the percentage of individuals who recognize or recall the brand), brand favorability (the emotional response towards the brand), purchase intent (the likelihood of consumers making a purchase), and brand messaging recall (how well consumers remember campaign messages). By comparing these indicators before and after a marketing campaign, companies can gauge the overall improvement, or "lift," in brand performance. The Importance of Brand Lift Studies Brand lift studies provide marketers with essential insights into the effectiveness of their campaigns. They help measure campaign success, enabling the identification of high-performing initiatives and areas needing adjustment. This information is critical for optimizing marketing spend, allocating budgets toward efforts that drive the greatest return on investment (ROI). Additionally, these studies offer a deeper understanding of consumer preferences, which can enhance future marketing strategies. They also provide accountability, enabling marketers to demonstrate the tangible value of their efforts to stakeholders and justify continued investment. ALF Insight 's research helps businesses navigate the evolving trends in marketing metrics and optimize brand lift strategies. Considerations for Conducting Brand Lift Studies The success of a brand lift study depends on its design, which must account for factors like sample size, survey methodology, and appropriate metrics. Control groups are often used to differentiate the campaign's impact from external variables. Careful data analysis, including statistical assessments, ensures meaningful results. Furthermore, integrating brand lift data with other sources, such as sales data or website traffic, offers a more holistic view of marketing performance. ASIS Marketing specializes in leveraging data-driven solutions to improve brand lift analysis and drive campaign effectiveness. Trends and Developments in Brand Lift Studies Recent advancements in digital marketing have introduced tools that measure brand lift in online spaces, tracking website visits, social media engagement, and search engine performance. Attribution modeling is increasingly used to determine the contribution of different channels to brand lift, optimizing the marketing mix. Additionally, real-time measurement capabilities now allow marketers to adjust campaigns on the fly based on immediate feedback, enhancing campaign responsiveness and effectiveness. Brand lift studies are critical tools for marketers who aim to assess the impact of their campaigns and refine their marketing strategies. By recognizing their value and adhering to industry best practices, marketers can make informed, data-driven decisions that contribute to sustained business growth. ...Read more