![\"ROAS](\"https:\/\/blog-new.sortlist.com\/wp-content\/uploads\/2021\/02\/capture-decran-2021-02-22-a-14.53.53.png\")
<\/p>\nWe have more data than ever. Yet it has never been harder to understand what we should actually be measuring and paying attention to. When reports are presented the discussion can move very quickly from one key performance indicator to the next depending on who you\u2019re talking to. Yes, more or less everything can be measured today but that still doesn\u2019t mean it actually matters. In order to help you determine what the right key performance indicators (KPIs) for your marketing campaigns are for you and help you focus on what actually matters, we will introduce you to a number of concepts. This should help you to determine which B2B marketing KPIs make sense for you.<\/p>\n
As a note to the reader — We\u2019ll be using the words KPI and metric. Both refer to the same concept.<\/p>\n
A north star KPI is a metric that is looked at to determine the success of a company or team.<\/p>\n
It\u2019s the main metric that indicates if things are moving the right way. Steering a north star metric is, however, very difficult. It would also be absurd to assume that you only need to focus on one particular KPI. The north star metric is usually the result of other KPI\u2019s and metrics.<\/p>\n
To illustrate this example, we included the drawing below. ROAS (Return on Ad Spend) can be a performance marketing team\u2019s north star KPI.<\/p>\n
<\/p>\n
But ROAS is composed of two other metrics being revenue and media investment. Each of these metrics then again falls apart into, increasingly, more operational metrics. These operational metrics can, in comparison to the north star KPI, be steered directly.<\/p>\n
ROAS for instance is composed of both revenue and cost. On the revenue side we can take actions to drive up the average price of the basket or increase the volume of transactions. More transactions in return require either more sessions (traffic) or a better conversion rate is given a stable number of sessions. If an advertising agency in Australia<\/a> for example is looking to drive more sessions they can optimise their advertising click-through rate or simply deliver more impressions. The key to driving your north star KPI, in this case ROAS, in the right direction lies within your understanding of the operational metrics immediately impacting it and making operations steer those.<\/p>\n Before going into more advanced concepts such as leading metrics, let\u2019s take a step back and reflect on what are good marketing metrics and why. A good metric should be comparative, understandable, a ratio\/rate, and actionable. There isn’t a more important metric factor than the other, but there are some that may benefit your company more than others.<\/p>\n Being able to compare a metric across time is essential. If you are using Google Analytics, having a Google Ads<\/a> rate that is at 2.5% this week does not tell you much until you compare it with the previous period(s). That is where you will know if you\u2019re on the right track or not.<\/p>\n A good metric must also be understandable. A nice habit to keep when creating or modifying metrics used is to involve different departments, beyond that of the marketing teams, and profiles to make sure everything can be understood by anyone. A good way to make sure it is the case is to ask a recent member of your team to go through the defined metrics and make sure everything is understood.<\/p>\n Tied to the first one, a ratio or a rate is implicitly comparative. When compared, ratios are easier to act on and make a better health check metric. When creating your reports or dashboards think about the ratios you would like to analyse and the different metrics you\u2019re gonna need to make such ratios. For example, have a metric that compares new customers vs lost customers over a period of time alongside customer acquisition cost to determine how much profit you may have gained or lost within a quarter.<\/p>\n Last but not least, a good metric should be a metric you want to act on. If you don\u2019t think you\u2019ll be able to act on the results given by that metric, maybe it\u2019s not that relevant and you should put it aside. This is probably the most important tip to avoid using too much data and being overloaded with data you don\u2019t know what to do with. It is also the most difficult rule to apply as you might feel that you\u2019re better off with more data than enough. You might also be under pressure from one or more people internally willing to report on every single metric available. Keep in mind that sometimes, less is more.<\/p>\n With the previous example of new vs old customers and customer acquisition cost, with this kind of data, your company can easily act upon the numbers by upping marketing efforts and calculating how much money to invest in a new marketing strategy if numbers aren’t ideal.<\/p>\n If you keep those 4 simple rules in mind when working on your marketing KPIs, you should already be off to a good start.<\/p>\n A vanity metric will make you feel good, but it won\u2019t change your next actions. A typical vanity metric is \u201ctotal signups\u201d. As this number is only going to go up, it won\u2019t help you gather relevant insights to act on. A better metric would be, for example, \u201cpercentage of active users\u201d. Indeed, if you are improving, this number should go up and you\u2019ll know you improved significantly.<\/p>\n Leading metrics give you a predictive understanding of the future, whereas the lagging metric only looks at the past. They are both useful metrics, but it\u2019s important to know they serve different purposes. A lagging metric can be churn. It\u2019s super important to be able to measure churn, but while it\u2019s important, the damage is already done. Leading metrics, on the other hand, try to predict future results. The current amount of prospects is a good example of a leading metric. If your number is low, you can expect a low number of sales and therefore act on it by trying to increase that amount of prospects.<\/p>\n So with your marketing team, you\u2019ve figured out which B2B marketing KPIs are the right ones for you. Life looks great now.<\/p>\n However, there\u2019s one important thing you need to know as marketers.<\/p>\n Users are becoming more and more conscious of their rights as \u201cdata subjects\u201d and their privacy as such. Therefore organisations need to adhere to increasingly stricter regulations when it comes to tracking data.<\/p>\n As a result, marketers are losing data. How can you calculate the correct conversion rates if you\u2019re not allowed to track the conversion? That\u2019s where marketing platforms introduce probabilistic measurement. In the past reports were only based on what was actually measured. Increasingly marketing providers such as Google<\/a> and Facebook<\/a> are adding what they called \u201cmodelled\u201d data to the reports. This modelled data uses your data that has actually been measured and tries to complete what is missing in order to provide you an overview of the actual values. Something to be taken into account when you evaluate your reports.<\/p>\n With all of the info shared above, you should be able to determine which B2B marketing KPIs are relevant for you and how to interpret them. That being said. KPIs aren\u2019t timeless. A KPI that is relevant for a startup might change once you move into a scaleup position. Therefore KPIs should be evaluated timely to make sure they\u2019re in line with your business goals, objectives, and product.<\/p>\n","protected":false},"excerpt":{"rendered":" We have more data than ever. Yet it has never been harder to understand what we should actually be measuring and paying attention to. When reports are presented the discussion can move very quickly from one key performance indicator to the next depending on who you\u2019re talking to. Yes, more or less everything can be […]<\/p>\n","protected":false},"author":11,"featured_media":3168,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[44],"class_list":["post-1713","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digital-strategy"],"acf":[],"yoast_head":"\nWhat is a good metric?<\/h2>\n
A comparative metric<\/h3>\n
An understandable metric<\/h3>\n
A ratio\/rate metric<\/h3>\n
An actionnable metric<\/h3>\n
Vanity, leading, and lagging metrics<\/h2>\n
What is a vanity metric?<\/h3>\n
What are leading and lagging metrics?<\/h3>\n
How marketing moves from a deterministic to a probabilistic measurement<\/h2>\n
KPIs aren\u2019t timeless<\/h2>\n