Email frequency capping is important to ensure your customers don’t get spammed by emails from too many campaigns running at the same time. Most email marketing platforms offer a way to set up email capping as a generic frequency policy set for the entire database. At Exponea, email capping is a subset of a broader, more customizable frequency management policy that dynamically adapts to customer behavior. Our Frequency Management works intelligently to take into account the relative relevance of an email for a particular customer. If a campaign is currently not relevant for a customer, it won’t be sent to them. This use case shows how you can set up these custom frequency policies for yourself.
Who should care about this use case?
John is the CRM Director at a company that has several outreach programs managed by different team members. The team manages multiple automated lifecycle campaigns, promotional emails, seasonal newsletters, and triggered emails. Each channel and campaign have audience lists that are maintained separately. The team needs an overarching frequency policy to limit outbound communication, but they also want to make sure customers are informed and receive the right kind of information.
Challenges that this use case solves
Set a dynamic email frequency policy based on the customer’s lifecycle stage or engagement level, instead of a generic setting for all customers.
Set campaign prioritization that decides what type of campaigns a customer should receive based on the relevance of the message for that customer, and not just first come first serve.
Exponea’s frequency management intelligently limits the number of emails a customer receives based on their individual preference and interactions with your website and campaigns. So customers are informed – but not overwhelmed – with the right information.
The policy can also be extended to other channels like SMS, notifications, and webhooks.
Direct results and business impact of this use case
Additional revenue and loyalty
Improve retention and website conversion by keeping your most loyal customers informed and engaged.
Achieve better open rates and click-through rates by giving the customer only as much information as they want.
Improved sender reputation
Avoid spam complaints and decrease unsubscribes by keeping the customer informed, but not overwhelmed.
Actual numbers realized by a real-world implementation of these features by Exponea clients:
+26% open rate
-12.8% unsubscribe rate
+30.9% revenue per email
How does it work?
Frequency Management finds and automates the best possible campaign frequency for each customer before targeting them. So, instead of setting a generic rule for the whole project that says ‘no more than 2 emails in 24 hours’, the customer base can be divided into segments, each with a different frequency setting. Marketers can do this easily and have full control over how segments are defined and therefore decide which customer should receive a particular campaign.
Consider a smart newsletter frequency policy that’s based on a customer’s engagement level. First, define different segments using customer or event attribute filters like consent received, last web activity, and last email opened time. For example, a segment of highly engaged customers can be defined as people who have opted in more than a month ago and have opened or clicked an email and have an open rate of more than 75%.
Once all segments are defined, set the maximum messages per customer per period for every segment. A segment of customers with a high email open rate may allow multiple emails per week, but one with low open rates can have communication limited to just one email a week. You can set up multiple frequency policies and have different policies applied to different types of campaigns.
UK-based electronics e-commerce company looking to establish a profitable email marketing strategy
An electronics e-commerce company in the UK was running multiple email campaigns that sent out messages to several emailing bases. In spite of all the outreach efforts, there didn’t seem to be an increase in profitability from emails and the company was having to deal with frequent returns.
The team was sending out multiple campaigns, each to a separate email list. There wasn’t much analysis being done on the number of emails each customer was receiving or which type of customer was converting.
How Exponea helped:
As a first step, Exponea prepared detailed analytics and segmented customers by attributed emailing revenue. This clearly showed some staggering disparities—for one type of a campaign, only 1% of the entire audience generated email-attributable revenue. Having noticed this, they started with more detailed analytics across their marketing outreach activities. They implemented a new frequency policy which included sending very few emails to customers who hadn’t opened any emails in a long time. Further, customers who were frequent returners were excluded from promotional campaigns.
Not incentivizing frequent returners to place more orders led to an increase in profitability
By creating segments and only sending emails to customers who were engaging with them, the company also saw a considerable improvement in deliverability.