How Smart Leaders Use Marketing Metrics to Navigate Uncertainty | MarTech

How Smart Leaders Use Marketing Metrics to Navigate Uncertainty | MarTech

5 minutes, 38 seconds Read

Imagine a world where the day executives review marketing dashboards isn’t filled with tension. Where deviations from planned results do not mean failure – either the inability to predict correctly or the inability to adequately control marketing people, processes and technology. Where the marketing management model is something other than a mechanistic factory, with objectives such as control and predictability.

Your world could look like this.

Business leaders crave certainty. They wish marketing were a kind of factory, where demand could be reliably produced. But executives have always been frustrated by the volatility of marketing. Continued volatility means that marketing results almost always deviate from plan. As they say in the military: “No plan survives contact with the enemy.” Despite this, dashboard day is still often the day of reckoning. You have achieved, exceeded or failed your goal.

Dig deeper: why AI is the most unpredictable cost in the martech stack

When marketing automation emerged, managers hoped it would make marketing manageable and predictable. Unfortunately, the new data has only given us more evidence that this is not the case. The two constants in marketing are that markets are inherently uncertain and the pace of change continues to accelerate.

Accepting uncertainty doesn’t give marketing leaders an excuse to give up on planning and measurement. Instead, it invites marketers, their C-suite partners and investors to try a radically more useful and realistic way of looking at marketing metrics. Rather than viewing performance gaps as failures to meet outdated plans, consider them as valuable signals about how the market is changing. Marketing data informs judgment, guides experimentation, and reveals insightful patterns that help effectively navigate the changing marketplace.

Marketing as a navigator in the market ecosystem

A few months ago I was sailing through Iceberg Alley along the coast of Newfoundland. Here, thousands of icebergs, from Greenland’s glaciers, drift south every spring and summer, creating a spectacular parade. The little ones are called ‘bergy bits’. Some icebergs are made of ice that is thousands of years old. A few icebergs show beautiful blue streaks, formed by rainwater seeping into crevices.

Ships use highly trained navigators to guide them through these beautiful and treacherous waters. Advanced technology, such as radar and satellites, combined with specialized knowledge, allows navigators to interpret conditions and guide ships to safe passage. One Titanic was enough, thank you.

While the stakes in marketing are not as high as Iceberg Alley, markets and oceans are both dynamic ecosystems. They’re constantly changing, and if you want to arrive at your destination safely, it’s best to keep an expert eye on the horizon and use information to adapt to whatever comes your way next.

Marketing’s role as a navigator is essential. For an ecosystem navigator, deviations from expected (or hoped for) metric results are information to guide him through the ever-changing marketplace. Grading marketing metrics as pass/fail, especially in a punitive manner, leaves enormous opportunities on the table.

To thrive in volatile markets, it is necessary to destroy the idea of ​​marketing as a factory where results can be predictably produced.

How metrics anomalies help marketers navigate

Even when they move in a reasonably reliable direction, trends can speed up, slow down, or deviate unexpectedly. Therefore, statistics must be viewed flexibly.

A range of data types can be used to identify and track the environment, allowing the business to successfully navigate market changes.

Information typeHow it helps with navigationExamples
Descriptive Data is tracked over time and reveals what happened in the past. While it cannot predict the future, this data can inform trends and patterns about what has changed and provide insight into the likelihood of future outcomes.Revenue, pipeline, churn, web traffic, brand awareness, customer loyalty, social media sentiment
Comparative Data can tell you how you’re doing compared to something else. Performance and results from different time periods, segments or against types of competitors will tell you where you are stronger or weaker and where differences matter.Internal comparisons: Profit rates of different products or channels compared based on quarter-over-quarter growth, price point or region.
External comparisons: 3rd party benchmarks, market share or share-of-voice compared to competitors
Diagnostic While detailed data on specific tactical outcomes typically does not belong on a management dashboard, it is essential for answering questions such as why things change or why deviations occurred. These statistics help form hypotheses about the driving forces behind the results. They can provide signals about possible causes, but rarely provide definitive answers on their own.Quantitative data: funnel dropout rates, campaign level performance, price sensitivity indicators, customer journey analysis
Qualitative data: interviews, surveys, session replays
Predictive The magic question everyone would like answered is: “What will happen?” Data can support probabilistic forecasts that give you likely ranges or scenarios. Advanced analytics, such as causal inference using AI, can help identify the most likely drivers of change. But predictions are not certainties.Pipeline coverage ratios, demand forecasting, lead scoring and propensity models, CLV projections, ROI estimates
Behavioral detection These metrics detect shifts in customer behavior and market dynamics, allowing you to spot early signals that conditions may be changing.Changes in buying cycles, emerging use cases, shifts in channel mix, engagement patterns
Amendment Data can help you decide if you want to change something. These metrics support experimentation and learning rather than control. They provide indicators about which actions are worth strengthening, adapting or stopping.A/B test results, experiment with speed and conversion rates, time to insight, customer and partner feedback loops
Limitation and risk Markets are complex systems and every participating company is affected by changes at the system level. Analysis can reveal system limitations and identify friction, saturation, or systemic risks.Rising customer acquisition costs, declining channel revenues, sales capacity utilization, volatility and variance measures

But did we win?

Information about deviations from planned metrics is great, but marketing can’t just be the research team. It’s fair to hold marketing accountable to the goals the company sets for them. These goals should be based on realistic expectations (not just hopes and dreams).

Sometimes marketing data guides marketing-related changes. Other times it appears that changes are needed in product, sales, service or finance. In any case, management should pay attention to the deviations in the marketing statistics. When the iceberg navigator says: go left, the pilot has to pay attention. The partnership goes both ways.

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Contributing authors are invited to create content for MarTech and are chosen for their expertise and contribution to the martech community. Our contributors work under the supervision of the editors and contributions are checked for quality and relevance to our readers. MarTech is owned by Semrush. The contributor was not asked to make any direct or indirect mentions of it Semrush. The opinions they express are their own.

#Smart #Leaders #Marketing #Metrics #Navigate #Uncertainty #MarTech

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