Remove recency
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MQL Criteria: Identifying Potential Customers Effectively

Only B2B

Must Read: Inbound vs. Outbound Lead Generation: Finding the Right Mix for MQLs Key Components of Effective MQL Criteria Demographic Information : This includes basic details like industry, company size, job title, and location. Explicit criteria are often demographic in nature and can be easily gathered from forms and interactions.

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5 Measures to Gauge a Brand’s Loyalty Through RFM

The Customer

And one of the simplest, most reliable is an old standby: recency, frequency and monetary, or RFM. For the unfamiliar, here’s the pocket guide: RFM scores customers on three measures – recency, frequency and monetary – and then averages the values. Rather, they should untangle its complexities with get-to-the-point approaches.

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Marketing Analytics and Lead Nurturing – A Strategic Combination

B2B Marketing Analytics

Analyzing the frequency and recency of the engagements together is a strong indicator of qualification. The recency of sales conversation and sales activities. The number of responses to the CTAs in the nurture emails – the higher the number, the better it is. The funnel status/stage of the engaged contacts.

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How to Leverage Baidu Analytics to Grow Your Digital Presence in China

KoMarketing Associates

The Audience Insight Report provides user data, including demographic overview, education and vocation, interest, geographic, device usage, new and returning visitors, and loyalty (as determined by visit frequency, recency, and engagement). Audience Insight Report.

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Holistic Email Metrics Matrix: Are You Seeing the Whole Picture?

Litmus

Subscriber RFM (recency, frequency, monetary). Customer RFM (recency, frequency, monetary) of subscribers vs. non-subscribers. Inbox problems have different tolerances for certain behaviors, which is due in large part to the different demographics and attitudes of their user bases. Email revenue per email. Mobile app activity.

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Four Great Ways to Use Personalization in Digital Marketing

Webbiquity

These insights can be as simple as human wants/needs, geolocation, and basic demographic information, to more specific insights such as buying intent and even behavioral patterns. Another really powerful method for landing page personalization is using the RFM (recency, frequency, monetary) model.

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How to Automatically Segment Your Leads for Increased Profit

Optinmonster

You can segment your leads based on many different characteristics, such as: Demographic: age, family size, race, gender, occupation, location, and more. Transactional: frequency, recency, contents, and value of purchase. This is a specific form of demographic segmentation with lots of opportunities for personalization.