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What does a good return on investment for digital marketing actually look like?

Writer: Anthony Jordaan
Anthony Jordaan
Sep 22
4 min read
Laptop displaying Google Analytics chart connected to Google Ads and Meta icons on a colorful gradient background
A connected marketing approach connects marketing spend and effort to useful business outcomes, while being honest about attribution limits.

TL;DR


  • Good digital marketing ROI is evidence that marketing is creating useful commercial value at a cost the business can sustain.

  • Return on Ad Spend (ROAS) helps you understand media efficiency, but you need to interpret it alongside other key metrics.

  • Attribution shows where conversion credit is assigned. It does not always prove which activity caused the outcome.

  • Better reporting connects attention, demand, qualified action, conversion, customer value and profit.


Good marketing reporting should help you make better business decisions, not simply show that activity happened.


That sounds obvious. In practice, dashboards often pull attention towards the metrics that are easiest to count: impressions, clicks, engagement, conversion volume and platform-reported ROAS.


Those metrics can all be useful. The problem starts when they become the definition of success rather than one layer of the picture.



Start with the business outcome, not the platform metric


The right measurement question depends on what the business is trying to achieve.


For a service business, useful outcomes may include

  • qualified enquiries,

  • consultation bookings,

  • proposal value,

  • close rate and

  • customer value.


For ecommerce and product-based businesses, the picture may include

  • revenue,

  • gross profit,

  • contribution margin,

  • repeat purchase and

  • customer lifetime value.


For a longer sales cycle, marketing may first show up as stronger branded search, direct traffic, repeat visits or better-quality leads before it appears as closed revenue.


A good dashboard connects marketing activity to commercial outcomes the business actually cares about.



ROAS is useful, but it needs conversion context.


ROAS answers a narrow but useful question:


How much attributed revenue was generated for the advertising spend?


That can help compare campaigns and understand media efficiency. It does not automatically account for product margin, discounts, fulfilment, returns, lead quality, repeat purchase, operating costs or whether the sale would have happened anyway.


A September 2026 Search Engine Land case study illustrated the risk clearly. An ecommerce account reporting roughly 11x ROAS could still lose money on every order once contribution margin and the wider commercial context were considered.


That does not mean a high ROAS is bad. It means the number needs context.



Attribution tells you who received credit. It does not always tell you what created or inspired the sale.


Customer journeys are rarely one clean click followed by one clean conversion.


Google Analytics' current attribution-path reporting is designed to show channels that initiate, assist and close key events across the customer journey.


A person may first encounter a business through social content, return through search, visit again directly and convert later.


Attribution helps distribute credit across those touchpoints.


Incrementality asks a different question: what changed because the marketing happened?


Google is increasingly treating these as separate layers of measurement. Its current measurement stack combines attribution with incrementality testing and marketing mix modelling.


Meridian GeoX, for example, uses geographic experiments to estimate causal lift rather than relying only on click-based attribution.


Most growing businesses will not need a sophisticated geo experiment every month. The useful principle is still the same though: do not confuse credited conversions with proven incremental growth.



A better way to read digital marketing performance


Instead of looking for one perfect metric, read marketing performance in layers.


1. Attention

Are the right people seeing and engaging with the activity?


Useful signals may include

  • reach,

  • impressions,

  • engaged views and

  • relevant traffic.



2. Demand

Is the market showing more interest in the business?


Look at

  • branded search,

  • direct traffic,

  • returning visitors,

  • relevant service-page visits and

  • other signs that people are actively looking for you.



3. Qualified action

Is that demand turning into useful next steps?


Track and understand

  • enquiries,

  • calls,

  • bookings,

  • form submissions,

  • downloads or

  • other actions that matter to the business.



4. Conversion

Are those actions turning into customers?


Look beyond lead volume to

  • conversion rate,

  • close rate,

  • revenue and

  • sales quality.



5. Customer value and profit

Is the business creating enough value from those customers to justify the investment?


Depending on the business, this may mean

  • gross profit,

  • contribution margin,

  • average order value,

  • repeat purchase or

  • lifetime value.



6. Incremental business change

What improved because the marketing happened?


For larger datasets, this can be tested formally. For smaller businesses, it often starts with disciplined comparisons across time, campaigns, locations, audiences and sales outcomes while acknowledging the limits of the data.


Not every business will have every layer perfectly connected. The goal is to keep moving measurement closer to the commercial result.



What should a useful monthly marketing report answer?


A useful report should make five things clear:


  1. What changed?

  2. Where did the change happen?

  3. Was the resulting demand or lead quality useful?

  4. Did the commercial return justify the investment?

  5. What should we do next?


That is more valuable than a long list of metrics with no decision attached.


At TeamTony, this is the direction we want reporting to move in: less emphasis on proving that activity happened, and more emphasis on understanding what changed for the business.



So, what does good digital marketing ROI actually look like?


There is no single universal benchmark.


Good ROI depends on the business model, margins, sales cycle, channel role, customer value and the objective of the activity.


What good measurement should do is connect marketing spend and effort to useful business outcomes, while being honest about attribution limits.


If your current reporting tells you a lot about clicks, reach and ROAS, but very little about lead quality, conversion or customer value, that is the place to start.


TeamTony helps businesses connect brand, website and marketing activity into one clearer digital system, including the measurement needed to understand what is actually working.



Want a clearer view of what your marketing is actually returning?


Sources


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