WHAT COMPANIES REALLY NEED TO RUN SUCCESSFUL PERFORMANCE MARKETING CAMPAIGNS
Your performance marketing dashboard says the campaign works. Your margin says otherwise. Hartmut Deiwick reveals which metrics actually decide profit. (Ad)
Many SMEs manage their campaigns using figures that primarily make the advertising platform look good. Hartmut Deiwick, Managing Director of the Smarketer Group, explains what truly matters in performance marketing and why a reliable data foundation, clear objectives and a small number of meaningful metrics are crucial.
Author: Hartmut Deiwick, Managing Director, Smarketer Group
Online advertising can now be analysed in greater detail than almost any other form of communication. Advertising platforms show how often an ad was displayed, how many users clicked on it and which actions followed. This can quickly create the impression that success is clearly measurable. But it is not quite that simple: a high number of clicks may deliver no commercial value. A low-cost enquiry may prove unsuitable, while a purchase claimed by an advertising platform might have happened even without the ad.
Measurable online marketing does not begin in the advertising account, it starts with a commercial question: What additional action should marketing trigger, and what is that action worth? Only then can measurement points, metrics and budgets be defined. Companies that set up campaigns before establishing the measurement logic may produce attractive reports, but not a robust basis for decision-making. It all comes down to the measurement foundation – and the order in which that foundation is built. Anyone optimising what is not measured properly is effectively flying blind, no matter how sophisticated the technology may be. Before approving the budget for the next campaign, companies should therefore take a sober look at four questions: What prerequisites are needed for measurable marketing? Which metrics really matter? Which mistakes cause a large share of budgets to fail? And what can companies check themselves before scaling a campaign, even before external support enters the discussion?
THE FOUNDATION IS SHIFTING
Since 15 June 2026, the Consent Mode parameter “ad_storage” alone determines which advertising data is collected in Google Ads and passed to the advertising account. Google Analytics (GA4) settings and the Google Signals configuration no longer provide a fallback. Companies that previously relied on Analytics to support their consent management have therefore been losing signals continuously, without this being visible in the dashboard.
This leads to the first requirement for measurable marketing: a technically correct implementation of second-generation Consent Mode, including all four parameters – not merely a cookie banner that looks good. First-party data is another durable asset: email addresses, telephone numbers and CRM records collected with consent outlast every cookie and every rented advertising segment. These data also underpin enhanced conversions: hashed first-party data that makes conversions visible when they would otherwise be lost because of cookie loss, cross-device customer journeys or delayed purchases.
The third prerequisite – and the one most often missing – is a conversion definition tied to real business value. It should not simply be “form submitted”, but should be weighted according to margin or lead quality. In an increasingly agentic advertising environment, such as the one recently presented at Google Marketing Live 2026, artificial intelligence executes exactly what it is instructed to do. A weak signal, scaled through Smart Bidding or AI Max-supported campaign formats, therefore only produces expensive mistakes more quickly.
THE METRICS THAT ACTUALLY MATTER
Many SMEs focus on metrics that primarily make the advertising platform look good: click-through rate, impressions, cost per click and, at best, the raw number of conversions. But these are platform metrics, not hard business figures. What matters commercially is the relationship between customer acquisition cost and customer lifetime value (CAC to CLV), as well as return on ad spend (ROAS) – but only when it is linked to margin and therefore assessed as profit on ad spend (POAS). A return on ad spend of 4 with a margin of 20%, for example, may still represent a loss-making campaign that no standard dashboard highlights in red.
Incrementality is equally important: the additional revenue that would not have been generated without the ad. Notably, Google itself is supporting this shift. At Google Marketing Live 2026, the company introduced transparent geo experiments designed to ground marketing strategies in causal reality, as well as Meridian, its marketing mix modelling tool, which is set to become available directly within Google Analytics 360. At its core, this amounts to an acknowledgement that traditional last-click attribution and even data-driven attribution models tend to overstate the contribution of paid channels. In other words, an SME should be asking how much of the revenue claimed by a platform would have occurred anyway. Lead quality rather than lead volume is another key factor, as is a cross-channel blended CAC instead of an isolated platform-by-platform view. Ultimately, only one question matters: Does every marketing euro generate profitable, incremental growth?
| Platform metric | Business-relevant metric |
| Click-through rate (CTR) | Customer acquisition cost in relation to customer lifetime value (CAC to CLV) |
| Cost per click (CPC) | Profit on ad spend (POAS) rather than return on ad spend (ROAS) alone |
| Raw conversion count | Incremental, additionally generated revenue |
| Conversions by platform (siloed) | Cross-channel blended CAC |
| Lead volume | Lead quality and likelihood of conversion |
THE EXPENSIVE MISTAKES MADE IN DAY-TO-DAY OPERATIONS
One particularly expensive and common mistake is to keep scaling on the basis of a misleading dashboard that does not provide figures valid for the business. Practical cases show that accounts can lose a large share of their measured conversions when a consent banner records preferences but never transmits the signals. On average, only around 31% of users accept tracking cookies, leaving almost 70% of traffic invisible to conventional tracking. Companies that do not compensate for this data gap through modelling and enhanced conversions are optimising against a distorted picture of reality. A second classic mistake is choosing the wrong conversion objective. When automation is optimised for a low-cost, low-value action, it delivers inexpensive but worthless leads. They may be measured reliably and efficiently, but they provide no value to the business. A third mistake, which is becoming noticeably more important in 2026, is allowing automation to operate without a strategy or a proper brief. It may feel reassuring to assume that AI will take over the work, but this idea is deceptive because the strategic direction is missing.
The lesson from recent platform developments is that the critical capability has shifted. Teams that succeed with AI-generated creative produce the most precise briefs – with a clearly defined target audience, advertising angle, objection handling and call to action. The role of marketing managers is therefore moving away from manually executing instructions and towards setting strategic guardrails and building a robust data foundation. AI is increasingly taking over execution. A vague brief accordingly produces vague creative and misallocated budget.
THE SELF-CHECK BEFORE APPROVING THE NEXT BUDGET
Before expanding campaigns or bringing in external support, it is worth conducting an honest self-assessment. Even smaller companies can do this within a reasonable amount of time, yet it often determines whether capital generates results or is simply burned. The first step is to clarify which conversion is being used for optimisation. Is it a purchase, any type of enquiry or a qualified contact? Is each transaction counted only once? Are the correct revenues or values being transferred? Companies should then verify that consent management is working correctly from a technical perspective and that important events are still being measured after changes to the website or shop system.
In e-commerce, the quality of product data is also critical. Prices, availability, product names, images and item numbers must be complete and up to date. Automated campaigns can only work with the information available to them. From a commercial perspective, companies should know at least the maximum sustainable cost per new customer, the contribution margin and the expected payback period.
The operational side is equally important. Can the sales team process additional enquiries promptly, and are the products available? Can logistics and customer service handle a growing order volume? A campaign can look highly successful in the advertising account and still create problems if the company is unable to meet the additional demand. Any business that cannot answer these questions immediately should first establish the fundamentals before committing further budget.
WHEN – AND WHERE – EXTERNAL SUPPORT ADDS VALUE
Companies considering an external sparring partner should bear in mind that performance marketing is undergoing a fundamental shift. In future, it will increasingly be less about a service provider handling the operational execution of a campaign, because machines are taking over more of that work. External support becomes valuable wherever the measurement foundation needs to be built systematically, commercial viability needs to be defined clearly and automation needs to be managed within precise guardrails.
The real task is to translate data-driven insights into business decisions and consistently turn advertising platforms’ recommendations into tangible commercial results. This is exactly how the agency of the future will earn its fees – regardless of whether the capability is built in-house or delivered with a specialist partner. In both cases, the decisive criterion remains the same: growth that can demonstrably be attributed to the marketing spend, rather than figures that merely look good.
ABOUT THE AUTHOR
Hartmut Deiwick is Managing Director of the Smarketer Group and has many years of experience in the digital economy. He is leading the transformation of the Smarketer Group into a modular agency network based on the best-of-breed principle: strong individual agencies, intelligently connected under one roof.
ABOUT SMARKETER GROUP
The Smarketer Group has established itself as a leading performance marketing provider in the DACH region and supports more than 1,500 clients with a team of over 350 employees. The group offers comprehensive solutions in Google Ads, Microsoft Advertising, social media advertising, Amazon marketing, holistic marketing strategy consulting and data-driven business intelligence. The Smarketer Group’s internal agency network includes Smarketer for performance marketing with Google Ads and Microsoft Advertising; AMZELL, a consultancy specialising in Amazon advertising and product marketing; WLO.Social, a specialist in social media advertising and community building; summ-it, a partner for data analytics and business intelligence; and SMAWAX, which focuses on holistic marketing strategies and cross-channel campaign planning. Close cooperation among the specialist agencies enables the development of tailored, comprehensive solutions that can flexibly adapt to dynamic market requirements. Through this close collaboration and the strong growth achieved since EMH Partners invested in 2022, the group has become one of the leading digital marketing platforms.
