Did you see how interesting it is to have a tactical dashboard?

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Types of dashboards
There are basically 3 types of dashboards to meet the needs of monitoring results: operational ones, which help to monitor analysts' operating levels; tactical ones, which allow for a view of how operations are progressing according to the strategies created; and strategic ones, which normally monitor KPIs and create scorecards according to established goals.

Each type of dashboard meets a specific level of a company's responsibilities and what should be monitored. Let's go into more detail about each one!

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Operational Dashboard
Operational dashboards typically show guatemala mobile database the metrics that analysts should monitor to optimize their work and thus allow for greater agility in route corrections.

As an example, we can take Google Adwords metrics. With an operational dashboard, it is possible to monitor the keywords that have the best performance and the ad groups that generate the best results. In the case of e-commerce, this type of dashboard allows for the cross-referencing of data that informs the stock and price of a given product with its ad, so that the analyst has the power to make decisions to obtain the best performance.

Without this intersection between stock, price and advertising, to make decisions, the analyst would need to perform several other operations, generating a greater dedication of time and often not being as efficient as it would be if they had an operational dashboard.

Operational dashboard example:

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Tactical Dashboard
Following the example of media buying, a tactical dashboard would track the main numbers from the different media in which investments are made, such as Adwords, Facebook Ads, Bing ads and programmatic media.

It would be possible to have a panel showing the performance of each one and, depending on the response you want to have, you will be able to know in real time which media is generating the best return according to the average ticket.

In this case, you can find answers that many companies do not follow, such as which media has the best results (conversion) X conversion rate X average ticket X investment.

The information you could get from this crossover is very relevant.

We can imagine a scenario in which investment increased considerably, the conversion rate fell in a certain media over a period of time, and sales did not increase that much.

With these two pieces of information, natural selection would be to pause these media. But by crossing the data with the average ticket generated, we were able to find that it increased significantly, doubling the average.

Now, with this information, you would make a better decision: do not pause the media and keep them, because, despite the cost increasing and the conversion rate decreasing, the average ticket increased, contributing to the decrease in CAC .