If you run Google Ads campaigns using automated bidding, you will be familiar with the learning period. It is the window after a significant campaign change during which Google’s system recalibrates before performance settles. Google has just updated its official guidance on how long that period lasts, shifting the focus from time elapsed to something more meaningful: how many conversions the system has seen. It is a subtle but important distinction with real implications for how you judge campaign performance after making changes.

What the New Guidance Says

Previously, Google described the learning period primarily in terms of time and conversion cycles. Its updated documentation now states that Smart Bidding calibration can take up to around 50 conversions or three conversion cycles, whichever comes first. Campaigns with strong historical data may learn considerably faster. A campaign enters a learning state when an advertiser creates or reactivates a bidding strategy, changes its settings, or makes significant alterations to campaign structure. The update explicitly extends this guidance to Search, Shopping and Performance Max campaigns, noting that Performance Max can take longer when most traffic comes from channels outside Search or Shopping.

Why This Matters More Than You Might Think

The shift from a time-based to a volume-based benchmark changes how you should interpret early campaign data. Previously, many advertisers used calendar time as their reference point. The new guidance reframes the question entirely: it is not how long the campaign has been running, but how much conversion data the algorithm has accumulated. For businesses generating conversions more slowly, perhaps a considered purchase category or a B2B lead generation campaign, this explains why the learning period can stretch across several weeks and why intervening too early can restart the clock.

What You Should Do Differently

After any major bidding change, resist judging performance before the system has gathered sufficient data. Avoid further adjustments to budgets, targets or campaign settings during the learning window, as each change can reset the process. For Performance Max campaigns in particular, Google cautions against frequent changes during the initial period. If your campaigns convert slowly, build the learning period into your planning and stakeholder expectations from the outset. A campaign that looks like it is underperforming in week two may simply be learning.

Google Ads has quietly rolled out a new feature that gives advertisers a view of how their weekly spending and click performance compare to businesses it considers similar. Appearing in the account Overview section as a Spend Benchmarks report, it is one of those updates that sounds straightforward but deserves a little more scrutiny before you act on it. Used wisely, it can provide genuinely useful context. Used without that scrutiny, it could nudge you into spending decisions that do not actually reflect your business needs.

What the Report Shows

The Spend Benchmarks report sits within your Google Ads account Overview and compares your weekly ad spend and clicks against a peer group of businesses Google has grouped with yours. The comparison takes into account factors including your industry and the markets you advertise in. It is a simple enough concept: a snapshot of where you sit relative to comparable advertisers on the same platform.

Why the Context Matters

The limitation worth understanding is that similar businesses are not always comparable businesses. Two companies operating in the same industry and geography could have completely different margins, average order values, customer lifetime values and growth strategies. An advertiser spending less than the peer benchmark might be running a highly efficient account with strong returns. One spending significantly more might be chasing volume at the expense of profitability. The benchmark does not know which situation applies to you, and neither does the recommendation to increase spend that sometimes accompanies it. That recommendation is worth being aware of: a peer comparison that comes packaged with a prompt to spend more can easily start to feel like a target rather than a reference point.

How to Use It Properly

The Spend Benchmarks report is most useful as a prompt for questions rather than a directive for action. If your spend sits significantly below peers and your campaigns are constrained by budget, that is worth investigating. If your spend is higher but your returns are strong, the gap tells you very little. The metrics that actually determine whether your budget is right are your cost per acquisition, your return on ad spend, and whether incremental spend produces incremental profit at an acceptable level. Treat the benchmark as one piece of context alongside those figures, not as a measure of whether you are doing enough.

OpenAI announced on 16 September that it is testing a new advertising format inside ChatGPT called Sponsored Agents. The announcement is significant not because ads in ChatGPT are new – they have been running since early 2026 and reached a $1 billion annualised revenue run rate in under 200 days – but because Sponsored Agents represent a genuinely different relationship between an ad and the person who sees it. This is not a banner or a sponsored listing. It is a conversation.

The format is live in the United States with a small number of advertisers. OpenAI is accepting interest from businesses that want to join future testing. International expansion is planned for markets where ChatGPT Ads already run, which includes Europe. Understanding what this format does and how it works is worth doing now, before it becomes mainstream.

What a Sponsored Agent actually is

When someone sees a relevant ad in ChatGPT, they can choose to start a conversation with a business-sponsored AI agent. That conversation is clearly labelled as a Sponsored Agent interaction. It is separate from ChatGPT’s independent answers and from whatever the user was originally talking about.

In that conversation, the user can ask follow-up questions about a product or service, describe what matters to them, get personalised answers based on their specific situation, and then click through to the advertiser’s website when they are ready. OpenAI’s framing is that the Sponsored Agent lets users go deeper – beyond the initial ad impression and into a genuine exploration of whether the product or service is the right fit.

A simple example: someone using ChatGPT to research dental treatment options in London sees an ad for a specialist clinic. Rather than clicking straight through to the website – where they may not find answers to their specific questions – they start a conversation with the clinic’s Sponsored Agent. They describe their situation, ask about treatment timelines, costs and what the process involves. The agent answers based on the clinic’s actual information. When the user is ready to book a consultation, they follow the link. The clinic’s website receives a warmer, better-informed visitor than standard paid search delivers.

Why this is different from what came before

The standard paid search model, which has underpinned Google Ads and most digital advertising for over two decades, is built on interruption and redirection. You see the ad, you click, you land on a page, the page tries to convert you. The quality of the landing page determines whether that conversion happens. Search behaviour has been shifting for several years toward more conversational, research-led queries rather than transactional ones. Sponsored Agents are designed for exactly that shift.

The distinction OpenAI is drawing is between the ad and the agent’s answers. The Sponsored Agent gives the advertiser’s perspective. ChatGPT’s independent answers remain uninfluenced by advertising. Those two things are kept separate and the user can see which is which. Whether that separation holds as the format scales, and whether users trust it, will determine how much of a shift this represents in practice.

The commercial rationale is clear. ChatGPT Ads reached $100 million in annualised revenue by March 2026. By late August it had passed $1 billion. That growth rate reflects advertiser demand for access to ChatGPT’s user base, which has passed 800 million weekly active users. OpenAI is now building the advertising infrastructure to match that scale.

The campaign management changes alongside it

Sponsored Agents are not the only thing OpenAI announced on 16 September. The company is also bringing AI into the campaign creation process itself. Advertisers can now use natural-language prompts in ChatGPT Work to create, update and analyse campaigns through an Ads Manager plugin. The idea is that a business could brief a campaign in plain English and the system would build it, with the advertiser reviewing and editing the output before anything goes live.

Ads Manager is also getting AI-generated copy and image suggestions based on an advertiser’s landing page and campaign objective. New integrations with HubSpot and Shopify are being added, giving advertisers attribution data that connects ChatGPT conversations to downstream CRM and purchase activity. Flexible attribution windows of 7, 14 or 30 days are now configurable, as is a view window for impression-based conversion reporting.

Taken together these changes move OpenAI’s advertising product from a simple placement model toward something closer to a full campaign management system, with AI running more of the creation and optimisation work. The parallels with how Google Ads has evolved over the past five years – toward automated bidding, AI-generated creative, Performance Max – are not subtle.

What this means practically for businesses and agencies

For any business currently running or considering paid search, Sponsored Agents raise four questions worth thinking about now rather than when the format goes mainstream:

• What would your Sponsored Agent actually say? The quality of a Sponsored Agent conversation depends on the quality of the information you give it. Businesses with clear, detailed, accurate content about their products and services are better positioned than those with thin or generic descriptions. This is the same principle that governs AI search visibility generally – the businesses that have invested in specific, authoritative content will have more to work with.
• How does this interact with your existing paid search budget? ChatGPT Ads are not replacing Google Ads. They are an additional channel with a different user intent profile. Someone using ChatGPT to research a purchase decision is often earlier in the funnel and more information-seeking than someone typing a query into Google. The pricing, targeting and optimisation logic for Sponsored Agents will differ from what most teams are used to.
• What does attribution look like? The HubSpot and Shopify integrations suggest OpenAI is aware that proving the commercial value of a conversational ad format requires connecting the conversation to downstream outcomes. Until that attribution is robust, measuring the ROI of Sponsored Agents will be as imprecise as measuring the ROI of content marketing was a decade ago.
• Is the format right for your sector? Conversational advertising makes most sense for considered purchases where the buyer has questions before they commit. High-value services, healthcare, financial products, education and complex B2B decisions are obvious candidates. Impulse purchases and commodity products are less obvious fits. The format rewards businesses that have something interesting to say when someone asks them a question.

The broader direction this confirms

Sponsored Agents are one more confirmation of a direction that has been building across every major AI platform in 2026: the interface between a user and a business is becoming conversational rather than transactional, and the businesses that are good at conversation – that have clear answers to the questions people actually ask – are the ones that will benefit most from that shift. Whether your next customer finds you through a Google result, a ChatGPT recommendation, or a Sponsored Agent conversation, the underlying question is the same: when they ask about what you do, is your answer good enough to earn the next step?

At Cannes Lions 2026, the world’s most influential festival of creativity, Meta used the spotlight to announce a significant leap forward in how businesses can advertise, connect with creators, and engage customers. The announcements span three areas: AI-powered creative tools, a unified creator marketing platform, and smarter customer engagement through AI. Together, they represent a clear signal of where digital advertising is heading, and why brands that move with these changes stand to gain the most. To put the opportunity in context, Meta shared that its own analysis of over one million campaigns found advertisers were generating an average of $4.13 in revenue for every dollar spent on Meta, a 25% improvement since 2022.

AI That Learns Your Brand and Builds Your Ads

The most substantial announcement for advertisers is a new end-to-end creative solution that allows marketing teams to generate, test and refine ads far more quickly than before. At the heart of it is a feature called Brand Memory, which allows Meta’s AI to absorb the look, tone and identity of your brand from your existing advertising history, so that new content it creates feels consistent rather than generic. Rather than starting from scratch every campaign, your team gets a system that already understands what your brand looks and sounds like. Meta is building this with agencies in mind from day one, with early integration through WPP Open, meaning the process slots into existing workflows rather than replacing them. Additional improvements include better AI-written ad copy, multilingual capabilities across image and video formats, and built-in approval tools that reduce the back-and-forth involved in getting campaigns signed off.

Finding and Working With Creators Just Got Simpler

For brands using influencer or creator partnerships, Meta is consolidating its previously separate tools into a single destination called Meta Creator Marketing Hub, due to launch later this year. Rather than switching between platforms to find creators, review content and activate ads, businesses will be able to do all of this from one place, covering both Instagram and Facebook. New discovery features will also surface relevant content from creators you are not yet working with, including product-tagged posts and user-generated content, along with performance data to help you make smarter partnership decisions. For brands that have found creator marketing fragmented and time-consuming to manage, this is a meaningful practical improvement.

Turning Customer Conversations Into Sales Opportunities

Perhaps the most forward-looking announcement is the expansion of Meta’s Business Agent Platform, which allows businesses to deploy AI directly within their customer messaging. Rather than using channels like WhatsApp purely for notifications, brands can now create personalised, conversational shopping experiences at scale. The potential is real: one early adopter reported over 15,000 AI-powered shopping conversations in its first week live in a new market. With over one million businesses already using the platform, this is not a distant possibility but a growing commercial reality. For brands that want to convert everyday customer interactions into revenue, this is worth exploring now rather than later.

Google Ads has announced three significant updates to the way it bids and manages budgets on your behalf. While the technical detail can get complex, the implications for your advertising spend are straightforward, and for business owners and marketing managers who rely on Google Ads to drive growth, understanding what’s changing matters more than ever. These updates began rolling out this month, with the most impactful change scheduled for 17th August.

Google’s AI Will Now Hunt for Customers You’re Currently Missing

The first update is the global expansion of a feature called Smart Bidding Exploration. In simple terms, Google’s AI will now actively look for additional customers you might be missing, people who are ready to buy but whose search behaviour falls slightly outside the patterns your campaigns normally target. Previously available only to a limited set of advertisers, this is now accessible to all, including those running Shopping campaigns. Crucially, it does this without requiring you to loosen your return-on-ad-spend targets, meaning Google is doing the exploratory work while still holding itself to your performance benchmarks. For businesses that feel they’ve hit a ceiling on their current campaigns, this is a meaningful new lever for growth.

Promotions and Sales Periods Just Got a Lot Less Manual

The second update introduces something called Promotion Mode, currently in beta. If you’ve ever run a product launch, a seasonal sale, or a flash promotion, you’ll know the manual effort involved in temporarily adjusting ad budgets and targets to match the spike in demand, then carefully resetting everything afterwards. Promotion Mode is designed to automate that process, giving Google permission to be more flexible during defined short windows without permanently changing your campaign settings. It’s an operational improvement as much as a strategic one, reducing the risk of human error during the moments when your campaigns matter most.

The August Update Every Advertiser Should Prepare For Now

The third update is the one that deserves the closest attention, because it will affect all campaigns that regularly run up against their daily budget limits, whether you actively choose to engage with it or not. From 17th August, Google will change how it optimises these campaigns behind the scenes, with the goal of delivering more predictable results when budgets are increased. Google will begin sending account notifications from 6th July and is recommending that advertisers review their cost-per-acquisition and return-on-ad-spend targets ahead of the rollout. Our advice: don’t wait for the notification. If you’re running budget-constrained campaigns, now is the right time to review your targets and ensure they still reflect your actual business goals, before Google’s changes trigger a recalibration that catches you off guard.

OpenAI have begun the rollout process of ads across its AI generative engine, ChatGPT. Users in the UK were prompted to select whether they wanted tailored ads based on the collected data from previous prompts or generic ones.

How can brands secure ad space on ChatGPT?

The sign-up process for marketing campaign ads on ChatGPT prompts users to create an account and provide basic business details.  Then, once the account is live, you’ll need to follow this process to upload your campaign:

1. Create a campaign

Setting up a campaign is done within ChatGPT’s ads manager. This provides controls around goals, which are the desired reach and clicks. Once set, you’ll then input the campaign name, your budget, the start and end dates, as well as toggle the targeting settings to your preference.

• Create ad groups

Ad groups are designed to provide conversion context hints. Allowing you to position campaigns by contextual relevance rather than utilising keywords like Google Ads would.

Within the ad groups, there are additional controls on bidding settings and in certain cases, audience parameters are also available.

• Start producing your ads

Unlike a Google, Meta or LinkedIn ad campaign, the actual result achieved greatly differs. Ad managers need to paste in a headline, description and the landing page URL.

The key difference is the asset; while a traditional style campaign image can be used, it’s often better to use a high-resolution logo or photograph, as the display size is modest and will need to be legible to users.

• Upload campaigns in clusters

ChatGPT is fitted with capabilities to support multiple campaign uploads.

The workflow is:

• Download your campaigns template.
• Fill in all of your campaign, ad group, and ad information.
• Upload the completed file through Ads Manager

What do the ads on ChatGPT look like?

Each campaign is displayed just above the text box, positioned below any search results.

How will UK regulation impact advertising on ChatGPT?

There are a number of regulations that will impact both the user experience and campaign managers. EU regulations and policies stipulate:

Consent requirements in the EU mean users must provide consent before their personal data can be used to personalise advertising. If users choose not to opt in, advertisers may need to rely on contextual targeting or generic advertisements instead.

Restrictions on the types of campaigns allowed. EU regulations place significant restrictions on the use of sensitive personal data for advertising, profiling of children, and certain forms of political advertising. As a result, advertisers face tighter controls over how campaigns are targeted and delivered compared with many non-EU markets.

As ChatGPT continues to evolve from a conversational AI platform into an advertising channel, brands are being presented with a new opportunity to reach users in highly contextual environments. While the platform’s advertising capabilities are still developing, its emphasis on conversational relevance rather than traditional keyword targeting could reshape how marketers approach campaign planning. However, with increasing regulatory scrutiny around privacy, personalisation and AI-driven advertising, businesses will need to balance innovation with compliance as they explore this emerging marketing channel.

The digital advertising landscape is experiencing a foundational shift. OpenAI has officially transitioned its conversational AI advertising from a quiet pilot into a fully-fledged media channel. With a self-serve Ads Manager, cost-per-click (CPC) bidding, and advanced tracking pixels now live, conversational marketing is moving from an experimental tool into a core acquisition strategy. For forward-thinking brands, understanding how to navigate this new ecosystem is no longer optional.

Understanding the Conversational Ad Engine

Unlike traditional search engines that rely heavily on keyword bidding, ChatGPT ads are triggered by contextual relevance and user intent within a live chat session. Sponsored cards appear cleanly beneath the AI’s organic response, ensuring that the ad does not compromise the core user experience. This means brands are purchasing premium proximity to highly engaged, intent-rich decision moments. Furthermore, if users opt into personalisation, the system can safely leverage previous chat history and session memory to match the most relevant ad to the consumer.

Strict Guardrails and Product Catalogue Demands

OpenAI has established non-negotiable parameters around data privacy and brand safety. Advertisers never receive raw chat logs, names, or precise locations; instead, performance is delivered via non-identifying aggregate data. Additionally, ads are strictly prohibited in sensitive verticals like healthcare, politics, and financial services. For e-commerce retailers utilising the new automated product feed ads, entry requires a rigorous compliance check. Brands must submit a flawless 100-product sample feed evaluated for data completeness and high creative standards before their full catalogue is accepted.

Preparing Your Brand for AI-First Marketing

To capitalise on this rolling expansion, marketing teams must optimise their assets for conversational environments rather than keyword density. Ad copy should adopt a calm, confident register that echoes the natural phrasing of user queries. Because the system utilises session memory, establishing a strong organic presence through Answer Engine Optimisation (AEO) is vital. Ensuring your brand is consistently cited in early research stages will organically compound your relevance when the ad auction triggers later in the buyer’s journey.

Nostalgia marketing is a key tactic used to tap into emotional and resonant memories from the past. When used effectively, it can bring feelings of joy or contentment; this familiarity that’s established helps to reinforce trust and authority.

What Can Make Nostalgia Marketing So Effective?

Creating feelings of nostalgia is a technique which taps into culture, emotion, identity, social connection and even moments of escapism. By creating a moment for viewers to reminisce, brands are able to effectively make the audience engage, which can help with their effort to strengthen emotional bonds and influence purchasing decisions.

Utilising nostalgic elements is particularly effective for prompting emotional engagement; it often helps brands stand out in oversaturated markets. People are more likely to engage with and invest in something which creates this kind of response.

When a campaign is able to successfully connect to existing memories, the recall of messaging, helping to forge trust. Rather than the viewer creating a new association, it is associated with memories consumers already have.

Familiarity often prompts people to discuss the past, which encourages viewers to share and engage with campaigns. This not only helps improve reach, but it also improves brand awareness and recognition. This type of engagement helps create social proof. Consumers engaging with it in this sense implicitly signal that it’s worth paying attention to.

When Doesn’t Nostalgia Marketing Work?

Whilst it can be powerful, this tactic isn’t automatically effective. This can happen when the nostalgic element overwhelms the messaging, isn’t aligned with the offering, or lacks relevance to the audience. For instance, what may be nostalgic for a millennial may not land at all for a Gen Z consumer.

The most common causes for nostalgia-based campaigns not working include:

• When the campaign feels forced
• Seeming inauthentic
• It conflicts with the brand’s position
• The nostalgia factor overshadows the product
• People’s unique experiences and responses
• Potentially overused or tired product campaigns

Key Examples of Successful Nostalgia-Based Marketing Campaigns

Some key examples of when it’s been done right include Argos’ “toys” campaign. McDonald’s adult Happy Meal product campaigns, along with Cadbury’s 200-year celebration of the brand.

‘There’s more to Argos than toys’

Argos’ latest campaign draws on nostalgia through clever visual references. Using everyday items like fridges and sofas in bold packaging reminiscent of children’s toy boxes, the campaign reminds people that Argos is more than just a place to buy toys.

For readers who grew up in the generation of catalogues, the throwback to getting toys from Argos is a fond memory. I too grew up circling the ideal toys for my Christmas list, so seeing this campaign puts a clever spin on how brands grow alongside their audience.

The campaign cleverly reminds passers-by that Argos stocks far more than what’s in the toy box, reinforcing the message that “there’s more to Argos”.

Cadbury’s Celebrated 200 Years of Business

Arguably, one of the best campaigns for its nostalgia factor was Cadbury’s 200-year celebration, which saw packaging revamped or, more fittingly, pulled back in time through the revival of its historic designs.

The TV advert produced alongside the campaign perfectly matches the nostalgic feel. It sets the scene at the advent of the Dairy Milk bar before transitioning into a present-day setting, showing that whilst times may have changed, consumer buying habits and emotional connections to the brand remain the same.

McDonald’s Adult Happy Meals

Whilst McDonald’s hasn’t explicitly marketed its adult meals as “Adult Happy Meals”, many of us who grew up pleading with our parents for a Happy Meal will recognise the same sense of excitement through its recent promotional releases.

Initially, it was the Grinch collaboration that sparked excitement. Customers could order a Grinch meal, featuring adult-sized products accompanied by a free pair of socks. This was then followed by the Friends x McDonald’s collaboration, where consumers were able to collect one of six figurines of the characters. Now, the excitement continues with the announcement of a new cup release for the FIFA World Cup.

The latest “Adult Happy Meal” taps directly into 2000s nostalgia through the return of the collectable Coca-Cola glasses, something that seemed to exist in every British household.

The campaign is particularly effective because it taps into the positive emotions attached to nostalgic purchasing experiences, reminding consumers of the excitement and familiarity associated with childhood treats and collectables.

Nostalgia is most effective when it supports a brand’s message rather than replacing it. While nostalgic campaigns can build emotional connections, trust, and engagement, they can fail when they feel inauthentic, target the wrong audience, or rely so heavily on the past that consumers lose sight of the product itself. The most successful campaigns use nostalgia as a bridge between meaningful memories and a compelling modern brand story.

If you run paid search campaigns, this week just got urgent. Google has begun deleting hourly, daily, and weekly reporting data older than 37 months, with the policy taking effect from 1 June 2026. This is what needs to be done over the coming days.

What’s Actually Changing and What Isn’t

It’s easy to panic, so let’s be precise. Granular reporting data, including hourly, daily, and weekly figures, will now only be retained for 37 months, while monthly, quarterly, and annual data remains accessible for 11 years. Once data passes its retention window, it will no longer be accessible through the Google Ads interface or APIs – meaning your dashboards, automated reports, and data warehouse pipelines could all be affected. If your agency holds years of campaign history for benchmarking or client reviews, that granular layer is now gone unless you already exported it.

Why This Hits Agencies the Hardest

For those of us managing multiple client accounts, the operational risk here is significant. Organisations running complex omnichannel reporting by blending data from multiple Google APIs need to audit their extraction workflows carefully to avoid serving clients incomplete performance dashboards. Think about seasonal trend analysis, day-of-week performance benchmarking, or long-term A/B test comparisons; all that granular intelligence becomes inaccessible without proactive data management.

Three Actions to Take This Week

Don’t wait for a client to ask why their historical chart has gaps. First, export all hourly, daily, and weekly data beyond 37 months immediately. Second, review any automated reporting workflows to confirm whether they store historical data independently or only query Google Ads on demand. The latter will now fail silently. Third, consider moving to a third-party data warehouse solution to ensure long-term retention sits outside Google’s control entirely.

Is advertising during a sports game an effective way to spend ad budget?

You may be wondering whether investing in advertising during the World Cup is the right move for your business. The answer depends on several factors. Are your business and product offering suitable for this type of exposure? Do you have the budget and resources to secure ad space, whether pitch-side, online, or during broadcast ad breaks?

These are the key questions businesses must consider when evaluating the practicality of World Cup advertising. For established brands, the risks are relatively low compared to those faced by SMEs.

Take major brands such as PepsiCo. They can launch high-impact campaigns with less risk because their brand is already widely recognised, and they typically have larger budgets to produce memorable, visually impressive advertising. Smaller brands, however, face a greater challenge. If their campaigns fail to stand out, they can easily fade into the background amongst the noise of global competition.

What are the regulations around advertising for FIFA games?

Advertising during FIFA events is subject to several regulations and broadcasting standards, including:

·         Gambling and alcohol advertisements cannot appear in areas affiliated with under-18 audiences, such as junior club sections or youth kits.

·         Campaigns must not imply official endorsement or representation of clubs without authorisation.

·         Foods and beverages high in fat, sugar, or salt cannot be promoted before the 9 pm watershed.

·         Ofcom regulates television advertising time, with commercial breaks generally limited to around 12 minutes per hour.

Does the placement of ads matter during the World Cup?

Placement is critical, regardless of the advertising format. Whether ads appear on websites, pitch-side banners, social media feeds, or during half-time breaks, placement directly impacts visibility and audience engagement.

Effective placement increases the likelihood of capturing viewers’ attention, improving brand recall, and ultimately generating a stronger return on investment (ROI).

Securing ad campaigns during sporting events

The strategy brands choose during the World Cup can significantly influence campaign performance.

For smaller brands, lower-risk strategies such as paid social and browser advertising are often more practical. These channels allow businesses to target audiences affordably without directly competing for premium placements against globally recognised brands.

Brands looking to expand their paid advertising strategy may invest in options such as newspaper takeovers, allowing them to dominate a publication’s homepage or digital front page for a set period.

Larger brands, meanwhile, often pursue premium placements such as pitch-side advertising, sponsorship deals, or impression-based broadcast packages. Sponsorships, in particular, are highly effective during major sporting events, helping to create strong associations between a brand, its products, and global competitions such as the FIFA World Cup.

Ultimately, successful World Cup advertising comes down to strategy, placement, and audience relevance. While global brands may dominate the biggest spaces, smaller businesses can still achieve strong results through targeted, well-positioned campaigns that align with both their budget and objectives.