How to Create and Manage Paid Media Campaigns with Massive Budgets (+€100K per Month)

In this content, a massive paid media budget is defined as any budget exceeding €100,000 per month. The strategies and tips provided apply to all budgets above this threshold, with a particular emphasis on significantly larger budgets that may far exceed this amount. As the budget increases, the importance of these strategies becomes even more critical.

Running paid media campaigns with large budgets opens up a whole new dimension of opportunities and challenges. These types of budgets demand carefully calculated strategies to maximise results and minimise risks. In this post, we’ll explore some key strategies to optimise these campaigns and drive greater success.

Broaden Targeting for Scalability

Large budgets require broader audiences. Excessive or hyper-specific segmentation leads to audience fatigue and limits scalability. Instead, use more open or broader interest-based targeting and allow algorithmic tools, such as Meta’s Advantage+ audiences, to dynamically optimise reach. This ensures access to a wider pool of potential customers and reduces stagnation in ad performance.

Combat Creative and Offer Fatigue

High exposure frequency accelerates creative fatigue. Frequently refreshing creatives—sometimes multiple times a week—is essential. Diversify formats and styles to maintain stable engagement metrics. Simultaneously, periodically adjust offers or create new ones to maintain relevance. Vary discounts, include guarantees, or introduce novel incentives to keep audiences engaged.

Leverage Speed in Testing

Large budgets provide the unique advantage of fast learning cycles. With accelerated data accumulation, hypotheses regarding creatives, audiences, or offers can be tested rapidly. Having a detailed and pre-planned testing strategy ensures efficient experimentation and minimises time wasted on decision-making.

Adjust ROAS Expectations

Scalability inevitably impacts efficiency. As algorithms exhaust the most qualified prospects, campaigns will reach less responsive segments. A decline in Return on Ad Spend (ROAS) is natural, so focusing on the business’s absolute returns rather than percentage efficiency reframes this challenge as a growth opportunity.

Simplify Campaign Structures

While it can be tempting to overcomplicate campaigns, simplicity ensures better budget allocation and clearer analysis. Focus on top-performing creatives, products, and audiences. Regular audits of campaign structures help prevent inefficiencies and maintain optimal resource allocation.

High Standards for Tracking

At this scale, advanced tracking solutions become indispensable. Multichannel campaigns require clear attribution. Tools like Hyros, or equivalent solutions, provide additional insights, helping decision-makers assess the real performance of campaigns across complex funnels.

Proactive Management

High budgets demand high vigilance. Even minor inefficiencies can turn into significant losses. Frequent monitoring, combined with an agile response system, ensures issues such as ad disapprovals or delivery inconsistencies are quickly resolved.

Strategic Collaborations with Influencers

For very large budgets, especially those exceeding €1M per month, collaborations with influencers can enhance results. Celebrities or recognisable figures bring credibility and expand the reach and engagement of campaigns. For mid-range budgets (€25/day or less), micro-influencers are often a more cost-effective and targeted alternative.

Personalised Ads for Market Segments

Breaking down your target market into smaller strategic sub-segments and creating ads with creatives, copy, and offers tailored to their specific needs improves relevance and engagement. This is particularly effective in service industries or diverse product lines where personalisation boosts conversions.

Final Thoughts

Scaling paid media campaigns to very high levels requires precision, vision, and adaptability. It’s a balancing act of leveraging the advantages of scale while mitigating the associated risks. For industry professionals, staying agile and data-driven is key to unlocking the full potential of these campaigns.

Consent Mode: A Key Tool to Improve the Measurement of Your Google Ads Campaigns

Consent Mode is a tool that can enhance the measurement of your Google Ads campaigns. Are you making the most of it?

Proper implementation of Consent Mode not only helps comply with privacy regulations but also significantly improves the ability to measure and understand campaign results, especially in a context where user consent is becoming increasingly complex.

What happens without Consent Mode?

Ad clicks that lack appropriate consent turn into lost data for platforms, leading to incomplete conversion reports. For instance, a campaign might appear less effective than it actually is, prompting decisions such as cutting budgets or changing strategies based on inaccurate data. This impacts the efficiency of advertising investment. With partial information, decisions are based on an incomplete reality.

How does Consent Mode help?

With Consent Mode, Google can model conversions that would otherwise remain invisible. This is achieved using statistical modelling techniques that analyse similar behavioural patterns to estimate how many conversions likely occurred, even when direct data is unavailable. Even without cookie consent, statistical modelling allows the estimation of conversions to provide a more realistic view.

The difference is clear: a 5% conversion rate without Consent Mode could rise to 5.9% with conversion modelling enabled, representing an 18% improvement in reporting accuracy.

Implementation is key

Ensuring that Consent Mode is properly configured is crucial. It’s not enough to rely on just any CMP (Consent Management Platform). A Google-certified CMP, such as Cookiebot, can automate this process, simplifying management and ensuring compliance with regulations.

In my experience, there are several ways to check if a website has implemented Consent Mode correctly. Some useful tools include Consent Mode Inspector and Google Tag Assistant (the latter is used to verify proper implementation of Google Tag Manager and Google Analytics on the site). You can even perform a more in-depth analysis through Google parameters, where "gcs: G111" would indicate that Google recognises Consent Mode.

Do you already have Consent Mode implemented on your website?

Strategic Decision-Making in Destination URLs: How It Impacts the Performance of Your Advertising Campaigns

The destination of an advertisement is an element that often goes unnoticed but has a significant impact on the performance of advertising campaigns. What happens when you change the destination URL or decide to send users to a different page? The answer depends on several factors, such as the relevance of the new page’s content, loading speed, mobile usability, and how well it aligns with the expectations created by the ad.

Changing an ad’s destination can profoundly affect conversion rates and user behaviour. Every time the landing page is modified, it impacts the user experience. For example, if the new page takes longer to load or is not mobile-friendly, users may leave before completing the desired action. If the new page does not align with the expectations set by the ad, performance may drop significantly. For instance, if the ad promises a specific offer and the landing page doesn’t clearly display it, users may feel frustrated and abandon the site. Consistency between the ad’s message and the landing page experience is crucial to maximising performance.

The new page must be optimised and aligned with the specific goals of the campaign. For example, if the focus is on lead generation, the landing page should facilitate conversion with simple forms, clear CTAs, and a seamless mobile experience. Additionally, technical aspects such as loading speed and proper structure for Google’s ad rank remain fundamental.

Another important point is that when you change an ad’s destination, advertising platforms often need time to readjust. The algorithm may need to recalibrate conversion patterns, which can temporarily affect performance. If the new page serves a similar purpose to the old one, this impact can be minimised. However, if it differs significantly, there might be a learning phase that negatively affects results for a period.

Such changes can also influence how users perceive the brand’s credibility. Each transition between ads and pages involves a fraction of a second in which the user evaluates whether the presented content remains relevant and whether it meets the expectation created. Maintaining the initial expectation can make the difference between a wasted click and a conversion.

This is why I always recommend approaching ad destination changes as a strategic decision. It is essential to analyse factors such as user intent, the technical aspects of the page (loading time, structure, metadata, keywords, mobile version), and historical performance data of the old page before making decisions. Before changing the URL, ensure that the new destination is optimised for the objective and enhances the user experience. If it does, it could lead to a considerable performance improvement. But if it’s just a change without a clear improvement in experience, it may harm the campaign’s efficiency without a valid reason.

What has been your experience when changing the destination URL in major campaigns? Has it affected your campaign performance? Let me know in the comments.