Reporting in dealer networks tends to fail at two extremes: either a hundred-page dump nobody reads, or a summary too shallow to support any decision. A report that works is one that answers a few questions clearly.
The questions a report must answer
Starting from the decision works better than starting from a list of metrics. Headquarters and the dealer need to learn different things from the same report.
- What changed versus last month, and was the change driven by budget or by content?
- Across the network, which dealers stood out and which fell behind?
- What did the spent budget return?
- What should we change next month?
The comparison basis must stay fixed
The most insidious reporting error is measuring something different from period to period under the same label. A table showing account-level reach one month and a sum of post reach the next manufactures a collapse that never occurred. The same applies to engagement rate: whether the denominator is followers, reach, or impressions, it must stay fixed.
The same rule applies when comparing dealers. Treating a dealer with missing measurement as zero-performing unfairly pushes them to the bottom; the correct behavior is to mark them as "not measured."
Do not hide what could not be measured
If a dealer's connection dropped, permissions are missing, or the platform simply does not provide that metric for the period, the report should say so. Seeing "0" in an empty cell tells the reader "this dealer did nothing," when the truth may be "we could not measure." This distinction is the most common source of wrong decisions across a network.
Automate the report, but give it an owner
A manually prepared report stops the moment the person preparing it goes on leave. Having the monthly report generated automatically and delivered by email removes the dependency on one person. In DealerBot, monthly social and performance reports are produced and sent this way; the ad status sheet can also arrive weekly.
Automation does not replace interpretation. A system can produce the numbers, but answering "why did this happen this month" is still a human job.