Purchase Frequency. Purchase Frequency is a panel data measure. It is the number of times your average buying household purchases your product over a whole time period (usually a year). Purchase Frequency remains the same regardless of which sales measure is used (dollars, units or EQ volume).
In advertising, frequency is one of the most important factors. Frequency is defined as “the number of times or frequency an average person or a household is exposed to the particular message of the advertisement.” Typically, it takes about 3-5 exposures for a potential consumer to make a purchase.
Frequency — Frequency, on the other hand, is the number of times a specific target is likely to be exposed to a specific advertisement during a set period of time. Frequency can be measured in hours, days, weeks, or even months.
The higher the purchase frequency, the more opportunities to offer outstanding customer experiences that turn repeat customers into loyal customers. Some get confused between purchase and repeat purchase rate, which represents the percentage of customers who return to the company for a new purchase.
Frequency is defined as “the number of times or frequency an average person or a household is exposed to the particular message of the advertisement.”
Typically, it takes about 3-5 exposures for a potential consumer to make a purchase.
Try to keep in mind that with each advertisement you run, your brand still benefits in some way, even if that’s not with direct sales.
No matter how long you’ve worked in the advertising space, it can become easy to lose sight of whether or not you’re prioritizing the right metrics. With modern advertising tactics changing consistently, previous ideals may be outdated without you realizing it. To begin, let’s delineate the difference between reach and frequency.
Part of testing and optimizing is identifying your ad frequency cap. Frequency capping is the ability to limit the total number of times a viewer is exposed to a particular advertisement. The identified frequency cap depends on the campaign, the audience, and the desired result, but there are multiple ways to cap frequency:
One of the most important reasons to track the frequency and find your specific effective frequency is limiting ad fatigue. While some campaigns classify as a high-frequency campaign — that is, a campaign that repeatedly exposes the same viewer to the same ad — the risks of high-frequency advertising are damaging.
Impact is a closely related metric to reach and frequency. Impact is a measure of how quickly and completely members of your target audience receive the intended message. Simply put, it’s a metric that measures how impactful your ads are in conveying your message and inspiring action.
Something that gets lost too often in advertising is the journey to building a relationship. Ads are supposed to produce action and ROI, but in order to do that, they have to create real emotional connections that make the decision to complete that purchase a no-brainer.
As we mentioned earlier, the effective frequency will be different for every campaign you’re running. There are three main factors that affect effective frequency: marketing, message, and media.
When done correctly, reach and frequency can be powerful guiding metrics to the overall success of your campaign. They allow you to create memorable interactions, build trustworthy relationships, and ultimately sell more services or products.
The purchase frequency (PF) represents the number of times a customer buys within a given period. The higher the purchase frequency, the more opportunities to offer outstanding customer experiences that turn repeat customers into loyal customers.
All the information you need to calculate purchase frequency is in your transactional data.
Measuring purchase frequency helps you keep track of the engagement of your existing customers with your brand.
Purchase Frequency is a panel data measure. It is the number of times your average buying household purchases your product over a whole time period (usually a year). Purchase Frequency remains the same regardless of which sales measure is used (dollars, units or EQ volume). In Nielsen the fact is called Item Trips per Item Buyer . In IRI the fact is Product Trips per Buyer.
If annual purchase frequency for Brand X is 4.2 , it means that each household who bought Brand X, on average, bought it 4.2 times over the course of the year.