Consulting & analysis.
A clearer way forward.

Consulting and analytical services help turn a business question into a structured decision. Consulting clarifies objectives, options and actions, while analysis examines the evidence behind them. Used together, they help a team explain what it knows, what remains uncertain and what it should test next.

Begin with the business problem and the audience affected by it. Define the outcome before discussing channels or tools. Record your current position, the constraints you face and the evidence available, then choose a small set of priorities that can be reviewed against a clear baseline.

Track metrics that connect to a specific decision, rather than everything a platform can count. A useful starting set might cover demand, conversion, customer retention and operating effort. Agree on definitions and measurement periods so that comparisons reflect real changes rather than differences in reporting.

Market research examines the wider market, including customer needs, alternatives and purchasing context. Web analytics focuses on measured interactions with a website or digital experience. Combining these perspectives can reveal both what people do and possible reasons for their behavior, while keeping assumptions separate from observed facts.

Useful data is relevant to a question, consistently defined and sufficiently reliable for the decision at hand. Check where it came from, when it was collected and what it leaves out. A smaller, well-understood dataset often supports clearer reasoning than a large collection with uncertain quality.

No. Predictive analysis estimates possible outcomes using historical information and stated assumptions. Changes in customer behavior, market conditions or data quality can affect those estimates. Treat a forecast as a scenario to evaluate, communicate its uncertainty and compare predictions with actual results over time.

Write down the decision you need to make, why it matters now and who will use the result. Include existing research, available data, timing and practical constraints. Finish by describing what a useful deliverable would enable the team to do, rather than prescribing a particular tool.

Use the reading links on this page to explore digital strategy, web analytics, data management and technology planning. The Other archive offers a broader collection, and the Blog link provides another entry point. Read each article in context and check whether its assumptions fit your own situation.