Measures of Success in Digital Marketing (AQA A Level Business): Revision Note

Syllabus Edition

First teaching 2026

First exams 2028

Exam code: 7132

Lisa Eades

Written by: Lisa Eades

Reviewed by: Bridgette Barrett

Updated on

Search performance

  • Search performance refers to how well a business's website appears in search engine results (such as Google) and how many visitors arrive at the site through organic (unpaid) searches

    • It is tracked using measures such as keyword rankings, the number of organic visitors and how often the site appears in search results.

Benefits and drawbacks of measuring search performance

Benefits

Drawbacks

  • Rising rankings mean more free traffic reaching the site

  • Reveals which search terms are bringing visitors in, helping the business decide where to focus its efforts

  • Shows whether SEO investment is paying off over time

  • Search rankings can drop suddenly when search engines change their algorithms, which is outside the business's control

  • High search traffic does not automatically mean high sales

    • Visitors still need to convert once they arrive on the site

Click-through rates

  • The click-through rate is the percentage of people who see a link, advert or search result and actually click on it

    • It is used to judge how well an advert, email or search listing is capturing people's attention

  • The click-through rate is expressed as a percentage and is calculated using the formula

CTR  = Number of clicksNumber of impressions × 100

Worked Example

Merrow Clothing sends a promotional email to 40,000 subscribers announcing its summer sale

Of those 40,000 people, 2,200 click the link in the email to visit the website

Calculate the click-through rate for the email promotional campaign

Click-through rate for the email promotional campaign

CTR  = Number of clicksNumber of impressions × 100= 2,20040,000 × 100= 5.5%

  • A CTR of 5.5% is above the industry average (typically around 2–3%) for fashion email campaigns

  • This suggests the subject line and content of the email were effective at encouraging people to click through to the site

Benefits and drawbacks of measuring click-through rates

Benefits

Drawbacks

  • Gives a clear picture of whether an advert or piece of content is appealing to its intended audience

  • Makes it easy to test and compare different adverts or email subject lines to see which works best

  • A high click-through rate does not mean the campaign is generating sales - users may click and then immediately leave without buying

  • On mobile devices in particular, accidental clicks can inflate the figure and give a misleadingly positive result

Time spent on site

  • The average amount of time visitors spend on the website during a single visit

    • It is often used as a sign of how engaging and useful the content is

Benefits and drawbacks of measuring time spent on site

Benefits

Drawbacks

  • Longer visits generally suggest that people are finding the site interesting and useful, which tends to lead to more purchases

  • It helps identify pages that keep visitors engaged versus pages where people quickly leave, so improvements can be made

  • The figure can be misleading

    • Someone who leaves a webpage open while they make a cup of tea will appear to have spent a long time on the site without actually reading anything

  • For some websites, a very short visit is actually a sign of success

    • For example, if someone finds a phone number or address quickly and then calls the business

Conversion rates

  • The conversion rate is the percentage of website visitors who complete a specific goal, such as buying a product, signing up to an email list or filling in an enquiry form

  • The conversion rate is expressed as a percentage and is calculated using the formula

Conversion rate = Number of conversionsTotal number of visitors  × 100

Worked Example

Of the 2,200 people who clicked through to the Merrow Clothing website from the summer sale email, 176 go on to make a purchase

Calculate the conversion rate

Conversion rate

Conversion rate = Number of conversionsTotal number of visitors  × 100= 1762,200 × 100= 8%

  • This is significantly higher than Merrow's usual conversion rate of 3.2%, suggesting that visitors arriving via the sale email were particularly motivated to buy

  • The targeted nature of the campaign - sent to existing subscribers who already know the brand - is likely to have contributed to this strong result

Benefits and drawbacks of measuring conversion rates

Benefits

Drawbacks

  • Ties marketing activity directly to business results

    • A higher conversion rate means more revenue from the same number of visitors, without spending more on advertising

  • Helps pinpoint problems in the customer journey, such as a checkout process that puts people off completing their purchase

  • It does not show how much each conversion is worth

    • A low conversion rate made up of high-value purchases may actually be more profitable than a high rate of small, low-value ones

  • Factors such as the time of year or the state of the economy can push conversion rates up or down, making it hard to judge whether marketing decisions specifically are working

Subscriber/user numbers

  • A measure of the size of the business's audience - for example, the number of email subscribers, app users or social media followers

  • It is often tracked as a growth rate to show whether the business's audience is expanding

Benefits and drawbacks of measuring subscriber/user numbers

Benefits

Drawbacks

  • A growing audience suggests the brand is reaching more people and building a larger pool of potential customers

  • A large subscriber list gives the business a direct line to its customers that does not rely on paying for adverts every time it wants to reach them

  • A big audience is not the same as an engaged one

    • A list of thousands of inactive subscribers who never open emails is much less valuable than it looks on paper

  • Growing the audience does not guarantee growing revenue

    • A business can attract large numbers of followers while still struggling to make a profit

Advertising revenue

  • Advertising revenue is money earned by selling advertising space on a digital platform, such as a website, app or online publication

Benefits and drawbacks of measuring advertising revenue

Benefits

Drawbacks

  • It reflects the commercial value of the platform's audience

    • The more engaged the visitors, the more advertisers are willing to pay to reach them

  • It adds a source of income that does not depend on selling products, giving the business more financial stability

  • It is closely tied to traffic levels

    • If visitor numbers fall, advertising revenue falls with them

  • Too many adverts can frustrate users and cause them to stop visiting the site, which reduces the very audience the business is selling to advertisers

Data analytics

  • Data analytics means collecting and analysing information about customers and marketing activity to make smarter decisions

    • Rather than relying on instinct, businesses use data to understand what is working, who their customers are, and what they are likely to do next

The value of data analytics in marketing

Segmentation

  • Analytics tools group customers into segments based on shared characteristics, such as age, buying habits or browsing history

  • This allows the business to send more relevant, targeted messages to each group rather than the same generic content to everyone

Campaign performance tracking

  • Analytics platforms monitor marketing campaigns as they run, showing in real time how many people are seeing, clicking and responding to each advert or email

  • This means problems can be spotted and fixed quickly, before too much budget is spent on something that is not working

Personalisation

  • By analysing what individual customers have browsed or bought before, businesses can tailor the experience for each person with product recommendations, offers and content that are relevant to them specifically

  • This makes customers more likely to buy and more likely to return

Predictions

  • AI-powered tools can use past data to predict future behaviour

  • For example, identifying customers who are likely to stop buying soon or forecasting which products will be in high demand next month

  • This allows the business to act ahead of time rather than reacting after the fact

Dynamic pricing

  • Analytics enables businesses to adjust prices automatically in real time based on factors such as current demand, competitor prices and stock levels

  • Charging more when demand is high and adjusting prices quickly when conditions change

  • This helps maximise revenue

Benefits and drawbacks of using data analytics in marketing

Benefits

Drawbacks

  • Replaces guesswork with evidence, helping businesses make smarter decisions about where to spend their marketing budget

  • Allows campaigns to be monitored and adjusted in real time, improving results before significant money is wasted

  • Requires investment in technology and skilled staff to collect and interpret the data, which can be a significant barrier for smaller businesses

  • The insights are only as good as the data - if the information collected is incomplete or inaccurate, the decisions made based on it can be just as poor as a random guess

Case Study

Merrow Clothing

Merrow Clothing is an online fashion retailer targeting women aged 18–40. With no physical stores, the business relies entirely on digital marketing to increase sales and tracks a range of measures to understand what is working.

  • Search performance is reviewed weekly - the team monitors rankings for key terms such as "sustainable women's dresses UK" and adjusts page content to improve visibility.

  • CTR is used to evaluate email campaigns, with subject lines tested against each other to find the wording that gets the most people opening and clicking through.

  • Conversion rate - currently 3.2% - is the most closely watched measure. The team analyses each step of the buying journey to find where people are dropping out before completing a purchase.

  • Data analytics shapes decisions across the whole business. Customers are segmented by how often they buy and how much they spend, with personalised product recommendations sent to the most valuable groups.

  • Predictive tools flag customers who have not bought in 90 days, automatically triggering a re-engagement email with a tailored offer.

  • During the end-of-season sale, dynamic pricing adjusts markdowns in real time based on stock levels and demand, clearing remaining stock without unnecessarily discounting popular lines.

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Lisa Eades

Author: Lisa Eades

Expertise: Curriculum Expert

Lisa has taught A Level, GCSE, BTEC and IBDP Business for over 20 years and is a senior Examiner for Edexcel. Lisa has been a successful Head of Department in Kent and has offered private Business tuition to students across the UK. Lisa loves to create imaginative and accessible resources which engage learners and build their passion for the subject.

Bridgette Barrett

Reviewer: Bridgette Barrett

Expertise: Development Editor

After graduating with a degree in Geography, Bridgette completed a PGCE over 30 years ago. She later gained an MA Learning, Technology and Education from the University of Nottingham focussing on online learning. At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence.