CTR (Click-Through Rate) is calculated by dividing the number of clicks an advertisement receives by its total impressions and multiplying the result by 100. It measures the percentage of ad impressions that result in clicks and helps advertisers understand how effectively an ad attracts attention and encourages users to visit a website or take another action.

CTR formula

Example of CTR calculation

Suppose a Shopify jewellery store runs a Google Ads campaign promoting diamond rings.

• Total impressions: 20,000

• Total clicks: 600

Calculation:

This means 3% of the ad impressions resulted in clicks.

Why is CTR important?

• Measures ad engagement: Shows how often people click after seeing an ad.

• Evaluates ad creatives: Helps compare headlines, images, videos, and calls to action.

• Supports optimization: Helps identify advertisements that may need improvement.

• Assesses audience relevance: A higher CTR can indicate that an ad resonates with its audience.

• Helps analyze performance: Provides context alongside conversion rate, cost per click (CPC), and return on ad spend (ROAS).

What is a good CTR?

There is no universal benchmark for a good CTR. It varies by advertising platform, industry, campaign objective, audience, and ad format. Compare CTR across similar campaigns and evaluate it alongside conversions and costs.

In short: CTR is calculated as clicks divided by impressions, multiplied by 100. For example, 600 clicks from 20,000 impressions produces a CTR of 3%.

Conversion tracking is the process of measuring and recording valuable actions users take after interacting with an advertisement, website, or marketing campaign. These actions, known as conversions, can include purchases, lead form submissions, phone calls, newsletter sign-ups, or bookings.

Conversion tracking helps businesses understand whether their advertising campaigns are achieving their objectives and how effectively their marketing budgets are being used.

Key features of conversion tracking

• Measures user actions: Records when visitors complete predefined goals, such as purchasing a product or submitting a form.

• Tracks campaign performance: Helps identify which advertisements, campaigns, and channels are associated with conversions.

• Supports automated bidding: Platforms such as Google Ads can use eligible conversion data to optimize strategies such as Maximize Conversions and Target CPA.

• Measures advertising costs: Helps calculate metrics such as cost per conversion (CPA).

• Tracks conversion value: Records revenue or assigned values to help businesses evaluate return on ad spend (ROAS).

• Supports optimization: Helps marketers improve targeting, creative content, landing pages, and budget allocation.

Example of conversion tracking

A Shopify jewellery store runs a Google Ads campaign promoting diamond rings.

Suppose the campaign generates:

• Ad spend: ₹10,000

• Ad clicks: 500

• Completed purchases: 25

• Tracked purchase revenue: ₹50,000

Conversion tracking records the 25 purchases and their associated values, subject to the store’s tracking setup and attribution rules.

The campaign’s cost per purchase is:

Its return on ad spend is:

That is a 5× ROAS, or ₹5 in tracked revenue for every ₹1 spent on advertising.

Common conversion tracking tools

Best practices for conversion tracking

• Define which actions count as conversions.

• Configure tracking correctly and test that events fire as expected.

• Avoid duplicate purchase events.

• Track conversion values and currencies accurately.

• Follow applicable privacy, consent, and platform requirements.

• Compare advertising-platform attribution with store orders and analytics, recognizing that the totals may differ.

In short: Conversion tracking measures valuable actions resulting from marketing, helping businesses evaluate campaign performance, calculate costs and returns, and make better advertising decisions.

Attribution in paid media is the process of assigning credit to advertising interactions that contribute to a desired outcome, such as a purchase, lead, sign-up, or website conversion. It helps advertisers understand how paid campaigns and channels influence customer decisions and how advertising performance should be measured.

Customers often interact with multiple advertisements before converting. Attribution helps marketers evaluate these interactions rather than looking only at the final purchase.

How does attribution work?

Suppose a customer purchases a ring from a Shopify jewellery store after interacting with several paid advertising channels:

1. Instagram advertisement: Introduces the customer to the brand.

2. Google Search ad: Helps the customer discover the ring again.

3. Retargeting advertisement: Reminds the customer about the product.

4. Purchase: The customer completes the order.

An attribution model determines how conversion credit is assigned to the recorded advertising touchpoints, according to the model’s rules.

Common attribution models

The models available depend on the advertising platform and reporting system.

Why is attribution important in paid media?

• Measures campaign performance: Helps evaluate which channels are associated with conversions.

• Improves budget allocation: Supports decisions about where advertising spend may be most effective.

• Explains customer journeys: Shows how customers interact with campaigns before converting.

• Supports optimization: Helps marketers evaluate campaigns, audiences, and advertising strategies.

• Improves reporting: Provides context for metrics such as CPA, conversion rate, and ROAS.

Important limitations

Attribution is not the same as proving causation. A platform assigning credit to an ad does not necessarily mean that the ad caused the conversion. Tracking limitations, privacy settings, cross-device behavior, and different attribution windows can also affect results.

In short: Attribution in paid media helps advertisers assign conversion credit to advertising interactions, understand campaign contributions, and make better-informed marketing investment decisions.

Last-click attribution is a marketing measurement model that gives 100% of the conversion credit to the last eligible marketing interaction before a customer completes a desired action. That action could be a purchase, form submission, sign-up, or another tracked conversion.

It helps marketers identify the final recorded touchpoint associated with a conversion, but it does not give credit to earlier interactions that may have influenced the customer’s decision.

How does last-click attribution work?

Suppose a customer buys a diamond ring from a Shopify store after interacting with the brand through several channels:

1. Instagram ad: The customer discovers the jewellery brand.

2. Google search: The customer searches for the brand and visits its website.

3. Email campaign: The customer clicks an email featuring the ring.

4. Google Ads retargeting: The customer clicks a retargeting ad and completes the purchase.

Under a last-click model, the final eligible interaction—in this example, the retargeting ad—receives all the conversion credit, according to the model’s tracking and eligibility rules.

Key features of last-click attribution

• Simple measurement: Easy to understand and interpret.

• Focuses on the final interaction: Identifies the last eligible touchpoint before conversion.

• Useful for performance reporting: Helps evaluate channels that directly precede conversions.

• May undervalue earlier channels: Awareness campaigns and other early interactions receive no credit under this model.

• Depends on tracking: Missing data, consent settings, and attribution rules can affect which interaction is counted.

Last-click vs. multi-touch attribution

When is last-click attribution useful?

It can be useful for simple reporting, understanding the final recorded interaction, or comparing results with historical reports that use the same model. However, it should not be the only measure used to evaluate channels that build awareness or influence customers earlier in their journey.

In short: Last-click attribution assigns all conversion credit to the last eligible marketing interaction before a conversion, making reporting straightforward but potentially overlooking the influence of earlier touchpoints.