Ad Spend Calculator
Total Ad Spend
$0
Average Spend per Campaign
$0
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Ad Spend refers to the total amount of money a company allocates for advertising over a specific period. It is a crucial component of marketing budgets and is used to purchase ad space across various media channels, such as digital, print, TV, and radio.
Ad spend is composed of various metrics that help businesses understand and optimize their advertising efforts. These metrics can be categorized into different types: funnel, revenue, cost, efficiency, and effectiveness metrics. Here's how they influence ad spend:
1. Cost Metrics: These include metrics like Cost Per Click (CPC) and Cost Per Impression (CPM). They directly measure the cost of advertising efforts. For example, CPC is calculated by dividing the total cost of clicks by the number of clicks. Businesses can find this data in their advertising platform dashboards, such as Google Ads or Facebook Ads Manager. Analyzing CPC helps businesses understand how much they are spending to drive traffic to their site. Segmenting by campaign or channel can reveal which strategies are more cost-effective.
2. Efficiency Metrics: Cost Per Lead (CPL) is an efficiency metric derived from cost metrics. It measures how efficiently a campaign generates leads. CPL is calculated by dividing the total ad spend by the number of leads generated. This data is available in CRM systems or ad platforms. Analyzing CPL helps businesses assess the efficiency of their lead generation efforts. Segmenting by audience or creative can identify which segments yield the best results.
3. Funnel Metrics: Metrics like Click-Through Rate (CTR) and Conversion Rate fall under this category. CTR is a visibility metric, calculated by dividing the number of clicks by the number of impressions. It indicates how well an ad captures attention. Conversion Rate is a conversion metric, calculated by dividing the number of conversions by the total visitors. It shows how effectively an ad converts interest into action. These metrics are available in ad platform analytics. Segmenting by time or product can help identify trends and optimize performance.
4. Revenue Metrics: Return on Ad Spend (ROAS) is a revenue metric that measures the revenue generated for every dollar spent on advertising. It is calculated by dividing the revenue from ads by the ad spend. This data can be found in e-commerce platforms or financial reports. Analyzing ROAS helps businesses understand the profitability of their ad campaigns. Segmenting by objective or channel can highlight the most profitable strategies.
By analyzing these metrics and segmenting data by various marketing levers, businesses can gain insights into their ad spend and make informed decisions to optimize their advertising strategies.
What is a 'Good' Ad Spend?
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