Automate Budget Tracking with Google Sheets and Supermetrics

Published on:2020-08-03

byJeff Cooper, Founder & President @ Saltbox Solutions

How many hours have we all wasted just trying to figure out how we are pacing our spend in Google Ads?  I’ve probably spent several working days of my career just pulling reports and spreadsheets, all so I can simply adjust the daily budgets of my active campaigns!

Years ago, I went on a journey to get that time back. After hacking some spreadsheets and playing with some plugins, I was finally able to free myself from the pedantic task of data aggregation for budget adjustments.

The solution I found ended up being relatively simple, so I wanted to provide a quick tutorial for those of you that are looking to do something similar.

Supermetrics – A Data Puller For Google Sheets

Supermetrics (1)

If you’ve never heard of Supermetrics, check out our article on Getting Started with Supermetrics and Google Sheets for a brief primer on what it is, how to install it as a Chrome add-on, and some simple examples of how to use it.

This tool will let us set up an automated way to get Google Ads data into Google Sheets. Although scheduling these data pulls requires a paid license, you can still create a tool that lets you get all this data by simply manually refreshing a query.

Setting Up A Custom Query To Get Your Budget Information

How we configure a custom query to get our data from Google Ads depends on whether we want to do this exercise for an account, multiple accounts, or at the campaign-level.

For the sake of example, we will keep it simple and just assume that we have one account for which we want to pace our spending across both Search and Display.

To get started, we will want to set up a new Google Sheet and create a Supermetrics query.

PPC-budget-tracker-example

From the sidebar menu, we want to create a new query and select the following options:

  • Data source

    • Authenticate with a user that can access your Google Ads account

    • Select Google Ads as the data source (of course!)

  • Account

    • Select the account you want to analyze

    • For this example, we’ll pick one – but you could pull data from multiple accounts at once

  • Dates

    • Most of our clients have monthly budgets – so we will choose “this month to yesterday” as the date range we are interested in

    • If you manage your budget differently, you might try “last 30 days” or “this year to yesterday” depending on your goals

  • Metrics

    • Since we are doing budgeting, we only care about “cost” right now

    • Theoretically, you could pull any data found through the UI and really beef up your automated reporting

  • Split by

    • Here we decide how to segment our data into rows and columns

    • For this example, we will simply split the ‘cost’ metric into different rows for the different ‘networks’

  • Filter

    • We don’t need to add a filter for this example

    • If you wanted to, you could only look at active campaigns – or filter by certain ad group names

  • Options

    • For now, we will leave these as the default values

    • As you get more comfortable Supermetrics, you may want to play around with these options

Supermetrics-Data-into-Google-Sheets

Once we run this, we will see our data pulled right into our Google Sheet – ready to be manipulated by our formulas:

PPC-budget-tracking-in-Google-Sheets

Simple Formulas For Projecting Budgets

So what’s next? There are a ton of different ways to calculate projected spend, but let’s start simple!

  • We will assume we will spend evenly every day of the month

  • We will assume that we haven’t made any major budget changes that would impact the pacing of spend

  • We will assume that we have our budget broken out by month and network

We are going to take advantage of a few Google Sheets functions that you need to be familiar with:

  • =NOW() – this function takes no input and returns a timestamp for …right now!

  • =DATE(year,month,day) – this function takes a year, month, and day input and returns a date

  • =YEAR(date), =MONTH(date), =DAY(date) – these functions take a date as an input and return the year, month, or day of the month respectively

For the sake of our ‘simple’ budget model, we will use the number of days into a month relative to the total number of days in the month to project our spending. For example, if our report goes through day 15 of a 30-day month, we will project that our spend will be 2x our current actual cost.

One of the most challenging parts about working with budgeting is actually calculating simple things like “how many days are in this month?” automatically.  Let’s walk through a way we can calculate this.

  1. Use “now” function to automatically give us a starting point

    1. =now()

  2. Calculate yesterday’s date by using our “date” function in combination with the “now” result from step 1 (for sake of example, assume the result of “now” is in cell F2)

    1. =date(year(F2),month(F2),day(F2)-1)

    2. This formula takes the year, month, and day of the current timestamp and just returns a date with ‘day’ minus one

  3. Calculate the first day of the month using our ‘date’ function in combination with yesterday’s date (assume ‘yesterday’ is in cell F3)

    1. =date(year(F3),month(F3),1)

    2. Similar to the calculation of yesterday, this hard-references day “1” of the month

We now need to calculate the end of the month. The challenge is that different months have different lengths (don’t get us started on leap years) and we need an algorithmic way to address that. Here’s a little trick we’ve picked up to help us do just that:

  1. We first calculate a random day in the future that we want to guarantee falls in the next month

    1. We do this by adding 31 (the minimum # of days to guarantee this works!) to our former calculation of the first day of the month

    2. =F4+31

    3. We are simply adding 31 to the date we calculated in the last step

  2. We now calculate the first day of the month relative to this new date (essentially calculating the ‘first day of next month’)

    1. =date(year(F5),month(F5),1)

    2. This formula works exactly like our calculation for the current month

  3. We can now simply subtract 1 from that new date (representing the first day of next month) to calculate the last day of the current month

    1. =F6-1

    2. This gives us a repeatable way to calculate the last day of the month regardless of which month of the year we are in (even works for leap years!)

Once we have this, it becomes very easy to calculate the “days in the month” or the “current days into the month” that our report covers.

PPC-Supermetrics-report-timestamps-in-Google-Sheets

Now our calculation is simple, we can just add a column to our report that uses “days this month” and “days into month” to calculate our projected ad spend:

Calculating-projected-ad-spend-in-Google-Sheets

…whether we schedule this query or simply refresh it manually, we now have a simple automated budget tracker!

Automated-Budget-Tracker

Taking It To The Next Level

Ok. We get it – our example is simple. What if we made recent changes to the budget pacing? What if we spend differently based on the day of the week? What if we set our budgets at the campaign level? What if we need to monitor spend across multiple Google Ads accounts?

We promise it can all be done via Google Sheets and Supermetrics. We suggest you at least start by hacking away at your own custom budget tracker. Even a simple solution can save you a ton of time. Your future self will thank you!

Jeff Cooper

Founder & President, Saltbox Solutions

Jeff Cooper is the Founder & President of Saltbox Solutions, a PPC and SEO service provider focused on helping businesses obtain traffic and leads from search engines. Jeff has a decade of experience working with online advertising, search engine optimization, and marketing technology. He has managed and consulted on over $100 million in paid search and programmatic media investments for large brands like Bass Pro Shops, RackSpace, and HealthMarkets. Prior to launching Saltbox, Jeff managed a 50-employee search engine marketing team at a growing start-up while spearheading the development of a search engine optimization technology platform that sold in 2016.

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