Analytics
When To Invest In Analytics
Invest when there is a decision you would make differently with better data. Analytics built without a decision attached produces dashboards nobody opens and a maintenance burden nobody owns.

Analytics
Invest when there is a decision you would make differently with better data. Analytics built without a decision attached produces dashboards nobody opens and a maintenance burden nobody owns.

'Should we keep spending on this channel' and 'where do enquiries drop out of the form' are decisions that justify measurement. 'We should understand our users better' is not, and it generates the sprawling implementations that later have to be untangled.
Instrumenting for a one-off question is usually more expensive than answering it manually. Recurring decisions are where automated measurement repays the setup.
Below a few hundred conversions a month, most differences you observe are noise, and elaborate analysis will confidently describe randomness. At that scale, talking to customers returns more than segmenting them.
There is a floor worth having regardless: know where enquiries come from and whether the form works.
That is a small implementation, and businesses without it are making budget decisions on impressions.
Know where enquiries come from and confirm the form works. That is a small implementation and it is the difference between deciding on evidence and deciding on impressions.
Below a few hundred conversions a month, rarely. Tests will not reach significance and teams read noise as insight. At that scale, fixing clarity problems beats testing them.
Invest when there is a decision you would make differently with better data. Analytics built without a decision attached produces dashboards nobody opens and a maintenance burden nobody owns.
Connected
You have read what we think. If you want to know what it means for your case specifically, describe it and we will tell you which parts of when to invest in analytics actually apply — and which do not.