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Pricing

Our Billing

Merrigold's services are billed based on the hours worked by our Project Leaders to fulfill the client's project, and the type of work being done.

The formula is simply: 

(Hourly Price) x (Total Estimated Project Hours) = Total Project Cost

An estimate of the expected total hours, the cost per hour, and the total expected cost of the project will be provided before the starting phase of any project.

The final cost will NEVER exceed the estimate that we provide. (Though starting new projects, adding to the original project order, or requesting extensive revisions are separate costs that will receive their own estimates.)

So know that after providing a client with an estimate, the client can rest assured that no matter how many hours it actually takes to complete the project, they will never have to pay more than the estimate we provided them at the project's beginning.

Hourly Prices

    Budgeting

$89.99

Per Project Hour

$69.99

    Per Project Hour

$39.99

Per Project Hour

$94.99

    Per Project Hour

$89.99

Per Project Hour

   Data Entry

$39.99

   Per Project Hour

    FP&A / Accounting Staffing

$69.99

    Per Project Hour

$109.99

Per Project Hour

FREE

How We Estimate Total Hours

The total number of hours we estimate for each project is based on the following factors:

The number of data points; if the dataset is small, less than ~4MB or 2,000 entries, fewer hours will be needed compared to handling a much larger dataset.
 
The complexity of the data; if you desire us to work with concise, structured production data, fewer hours will be needed than if you wish for us to work with data concerning the weather or the stock market, whose datasets can be voluminous, messy, and hard to extract value from.
 
The length of the delivery window; the more time we have to fulfill your project, the fewer hours will be needed, ultimately saving you costs.

(Forecasting Only) The desired accuracy of forecasts, if you desire a forecast to be correct 80% of the time, fewer hours will be required versus if you desire a forecast accuracy closer to 95%.

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