Motivation: What’s the driver that will push me to act?<\/strong><\/h3>\n\n\n\nThe first element is motivation. <\/strong>This is something that rises and falls in waves. It’s neither a constant nor does it have an on\/off switch. There’s a spectrum, and a person’s motivation generally tends to slide up and down, so it’s never at one single point. And that’s why timing matters so much when you\u2019re trying to influence behavior.<\/p>\n\n\n\nBut there are three core “motivators” that influence where a person is on that spectrum.<\/p>\n\n\n\n
1. Sensation (The “pleasure\u2013pain” axis)<\/strong><\/h4>\n\n\n\nSensation is all about playing to the favor of instant rewards<\/strong>. This could be the gratification you feel after finishing a task, getting recognized by your colleagues, or avoiding discomfort.<\/p>\n\n\n\nThese are all rewards, and social platforms are great examples where sensation plays a key role in driving human behavior. Likes for instant gratification highs, praising comments, and reel hits for instant feelings of “Like I was there”.<\/p>\n\n\n\n
Anticipation (What comes “next”)<\/strong><\/h4>\n\n\n\nAnticipation is a bit of an anxiety-riddled element. It functions on a hope\u2013fear <\/strong>spectrum and taps into taking action to move us toward<\/em> positive outcomes and away<\/em> from negative ones.<\/p>\n\n\n\nOne business industry that relies heavily on this principle is the health and fitness industry (think fitness programs and apps). It’s the idea of promising long-term benefits if you sign up (start training today for a healthy mind and body), while reminding them about all the downsides of not signing up (don’t take action now and you’ll be at risk of developing various health conditions).<\/p>\n\n\n\n
Social Acceptance (The need to “belong”)<\/strong><\/h4>\n\n\n\nSocial acceptance is our very human need to feel like we belong<\/strong> to a group, a nation, a club or whatever it might be. This need influences many of our decisions.<\/p>\n\n\n\nAnd, it\u2019s why social proof, testimonials, and communities work so well. There will be many times when people choose to replicate certain behaviors simply because other people we value or respect are displaying them. It’s a matter of wanting to stay connected, but also to avoid feelings and acts of rejection.<\/p>\n\n\n\n
Ability: Can you make it super easy to do?<\/strong><\/h3>\n\n\n\nThe second element is ability. <\/strong>This is all about how easy the desired behavior feels<\/strong> in the given moment. The Fogg Behavior Model breaks this element down further into six key simplicity factors, which you actually have the power to control and consistently improve through smart design and user experience decisions.<\/p>\n\n\n\nThe six ability factors<\/strong> include:<\/p>\n\n\n\n\nTime <\/strong>– How long the behavior change takes and how much time the person actually has<\/li>\n\n\n\nMoney <\/strong>\u2013 Any cost (or perceived cost) associated with the behavior change<\/li>\n\n\n\nPhysical effort <\/strong>\u2013 The physical input necessary to carry out the behavior change<\/li>\n\n\n\nBrain cycles (mental effort) <\/strong>\u2013 The mental strain necessary to carry out the behavior change<\/li>\n\n\n\nSocial deviance<\/strong> \u2013 The question of whether the behavior change goes against social norms<\/li>\n\n\n\nNon-routine behavior <\/strong>\u2013 How much the behavior change clashes with the person’s habits and regular schedules<\/li>\n<\/ol>\n\n\n\nNow, the key thing you need to remember here is this:<\/p>\n\n\n\n
The <\/em>weakest<\/em><\/strong> link among the above six sets the <\/em>overall difficulty<\/em><\/strong>.<\/em><\/p>\n\n\n\nSo if one factor creates too much friction, the chance of the behavior actually taking place becomes much harder, no matter how capable, willing, and strong the person is in all the other areas.<\/p>\n\n\n\n
Because the weakest link eventually determines overall ability.<\/p>\n\n\n\n
So what’s the takeaway here?<\/p>\n\n\n\n
It’s this: Don’t try to fix everything<\/em>. Fix or remove the single <\/strong>biggest friction point. It’s these targeted fixes that create the biggest shifts in behavior.<\/p>\n\n\n\nPrompts: Can you send a sign at the perfect time?<\/strong><\/h3>\n\n\n\nThe third element is prompts<\/strong>. These are the signs that tell a person “now’s the perfect time to act!” But here’s the catch: prompts only work when motivation<\/strong> and<\/em> ability<\/strong> are already in good shape. If these first two elements aren’t taken care of, the third can’t do the work on its own.<\/p>\n\n\n\nNow, the Fogg Behavior Model says, based on the user’s current state, you have three prompt types you can take advantage of and use as nudge facilitators:<\/p>\n\n\n\n
Spark prompts<\/strong><\/h4>\n\n\n\nThese are for people with high ability<\/strong> but low motivation<\/strong>. These prompts lean on things like immediate rewards or fear of missing out to move someone forward.<\/p>\n\n\n\nSpark prompts inspire action by highlighting:<\/p>\n\n\n\n
\nBenefits<\/li>\n\n\n\n Creating urgency<\/li>\n\n\n\n Using social proof<\/li>\n<\/ul>\n\n\n\nFacilitator prompts<\/strong><\/h4>\n\n\n\nThese are for people who want to act but find it hard to. So here, instead of pushing motivation higher, you try to make the action easier<\/em>.<\/p>\n\n\n\nFacilitator prompts help get people to act by:<\/p>\n\n\n\n
\nRemoving friction<\/li>\n\n\n\n Offering guidance<\/li>\n\n\n\n Providing training, tools, or direct support<\/li>\n<\/ul>\n\n\n\nSignal prompts<\/strong><\/h4>\n\n\n\nThese are for people who already have enough motivation and ability, and just need a simple cue, at the right moment. They are quite literally quick reminders to initiate the action.<\/p>\n\n\n\n
Signal prompts are things like:<\/p>\n\n\n\n
\nCalendar reminders<\/li>\n\n\n\n Dashboard alerts<\/li>\n\n\n\n Action triggers<\/li>\n<\/ul>\n\n\n\nNow, what’s the difference between a good prompt and a bad prompt?<\/p>\n\n\n\n
No matter which prompt type you use:<\/p>\n\n\n\n
\nGood prompts <\/strong>are noticeable without being annoying, they’re tied clearly to the behavior, and they’re also delivered at the right time.<\/li>\n\n\n\nBad prompts<\/strong> are sent out too often, usually poorly timed, and in many cases, they’re irrelevant, which creates a backfire effect that results in frustration and blocking.<\/li>\n<\/ul>\n\n\n\nWorking out the Action Line and Compensatory Relationship<\/strong><\/h2>\n\n\n\nIf you want to use the Fogg Behavior Model in real behavior design and user experience work, you’ll need to understand two of the main principles it operates on:<\/p>\n\n\n\n
\nAction line: <\/strong>This is the point where a prompt actually succeeds. In the FBM graph, this is represented by the curved line where everything above it implies that if there is enough motivationa and ability, people will act. For everything below the line, no prompt will make the change behavior happen.<\/li>\n\n\n\nCompensatory relationship: <\/strong>This is the relationship that exists between motivation and ability that gives designers strategic room to move and plan for success. Here, the general rule is that high motivation can offset low ablility, while high ability can offest low motivation.<\/li>\n<\/ul>\n\n\n\nHowever, in the compensatory relationship, one approach works better. Generally, it’s much easier to improve ability (or make something easier to do) than it is to increase someone’s motivation. This is what influences the choice between trying to motivate users and simplifying the behavior. While even the highest level of motivation can fade, good design never fails.<\/p>\n\n\n\n
Take onboarding, for example. A complicated flow might work at the start because new users are motivated to start using the tool. But as that motivation drops, the friction becomes a serious barrier that gets stronger as more time passes. Simplifying the new user onboarding experience, on the other hand, will help all new users, regardless of their motivation.<\/p>\n\n\n\n
Tip:<\/em><\/strong> Don’t rely on one element only (motivation or ability) to move the user above the action line. You actually need to elevate both to create consistent, scalable behavior change.<\/em><\/p>\n\n\n\nWhat are the limitations and ethical concerns of FBM?<\/strong><\/h2>\n\n\n\nEvery model has limitations, and no one is perfect. Even though the Fogg Behavior Model can be a handy tool for many industries linked to customer experience and understanding human behavior, you also need to consider what it can and can’t do, as well as what it shouldn’t be used for.<\/p>\n\n\n\n
FBM doesn’t consider <\/strong>all<\/em><\/strong> factors that influence human behavior<\/strong><\/h3>\n\n\n\nHuman action is driven and determined by more than the three included in the Fogg Behavior Model. Not everything that influences a person’s decision can be categorized neatly into the three core elements of the model.<\/p>\n\n\n\n
Some of the things the model can’t factor in include:<\/p>\n\n\n\n
\nCultural influences<\/li>\n\n\n\n Personality and character traits<\/li>\n\n\n\n Past experiences<\/li>\n\n\n\n Environmental factors and general situation or context<\/li>\n<\/ul>\n\n\n\nAll of the above can shape and influence how people respond to motivation, ability, and prompts.<\/p>\n\n\n\n
So the simplicity that makes the Fogg Behavior Model practical for use and application can also lead you to oversimplify and misinterpret how decisions are actually made.<\/p>\n\n\n\n
FBM doesn’t achieve long-term behavior change<\/strong><\/h3>\n\n\n\nOne thing people sometimes misunderstand about FBM is that it focuses on single moments<\/em> of action, not long-term behavior change.<\/p>\n\n\n\nThe model will tell you and show you what sparks a single behavior change, but there’s no way of working out what might help you maintain a certain behavior over time (whether that be months or years).<\/p>\n\n\n\n
Sustained change will need more than the basic 3-element formula of motivation, ability, and prompt. For example, the model might help you set up a sales strategy to get more customers registering for your new fitness app, but it won’t help you make them use it regularly once it’s been downloaded.<\/p>\n\n\n\n
Unethical & manipulative behavior design<\/strong><\/h3>\n\n\n\nPut the right tool in the hands of the wrong person, and you have a recipe for disaster. It’s one thing to use the model to encourage users to take an action, but it’s another when you turn to persuasive design that is actually manipulation.<\/p>\n\n\n\n
This is a line that shouldn’t be crossed, and in most cases in the professional world, a tell-tale sign that this is taking place is when a company puts its profit goals ahead of its users’ well-being.<\/p>\n\n\n\n
The easiest way to spot this behavior is through dark patterns. These are behaviors designed to push people to take an action they didn\u2019t actually intend to take.<\/p>\n\n\n\n
Some examples of dark patterns<\/strong> used in user experience include:<\/p>\n\n\n\n\nRoach motel:<\/strong> This is where the business makes it super quick and easy to sign up for a service, but then intentionally makes it super difficult to cancel it.<\/li>\n\n\n\nFalse urgency or scarcity: <\/strong>This is the message you often see on online travel booking sites, like “Only one room left” or “Four people are booking right now”. The idea behind it is to pressure you into an impulse purchase.<\/li>\n\n\n\nPreselection and auto-enrollment:<\/strong> This is where options are automatically pre-checked. For example, you’re automatically moved to a paid plan after a free trial, and you have to manually opt out.<\/li>\n<\/ul>\n\n\n\nAs persuasive technology grows, so does the scrutiny over behavior designers’ roles and the need for them to carry a real responsibility for the long-term effects of their work. This is an important point to keep in mind for anyone wanting to use the Fogg Behavior Model: make sure you consider user autonomy, agency, and well-being, and whether or not your practices and initiatives are ethically sound.<\/p>\n\n\n\n
Practical implementation strategies<\/strong><\/h2>\n\n\n\nApplying the Fogg Behavior Model means working out where to focus first and finding ways to improve behavior outcomes.<\/p>\n\n\n\n
While you’ll work to improve your chances through all three elements, some strategies work for every initiative, and they never fail.<\/p>\n\n\n\n
This is because they put the real person at the centre of the situation and design everything around that.<\/p>\n\n\n\n
Make the behavior easy.<\/strong><\/h3>\n\n\n\nSimplicity always<\/em> sticks. So remove extra steps<\/strong>, cut the unnecessary fields, and streamline the navigation. See if you can reduce the number of clicks it takes to get something done. Know that every extra step is a friction point that makes it less likely for the person to complete the customer journey.<\/p>\n\n\n\nAlso, give people clear instructions<\/strong> so they don’t have to guess anything. They don’t want ambiguity \u2013 they want step-by-step guidance, progress indicators, and contextual help so they put in minimal mental effort.<\/p>\n\n\n\nUse progressive disclosure<\/strong> where you only show what\u2019s needed in the moment. Information overload on one screen overwhelms people and makes simple tasks feel harder than they actually are. If you have to, reveal complexity gradually, one piece at a time, when your users are ready for it.<\/p>\n\n\n\nTest the behavior with real users.<\/strong><\/h3>\n\n\n\nMake sure you take your initiative for a test run before the live launch. Test it in the real world, with the most likely users<\/strong>, to see how they respond.<\/p>\n\n\n\nTake the people who found certain behaviors difficult and fix them. Then look for any remaining friction points <\/strong>based on test group feedback. You won’t need to change the entire process, just individual components that are actually getting in the way.<\/p>\n\n\n\nGet motivation going at the right time.<\/strong><\/h3>\n\n\n\nWhen you’ve sorted out the process and the behavior is simple and easy to complete, then you need to look at motivation.<\/p>\n\n\n\n
Our motivation fluctuates around life events, seasons, and moments of clarity about our goals. So try to introduce behaviors at the right time. For example:<\/p>\n\n\n\n
\nIntroduce harder behaviors when motivation is already high<\/li>\n\n\n\n Target users who already care about what your initiative is \u2013 trying to force a behavior on someone that has no interest in the field is a waste.<\/li>\n\n\n\n Use social proof and community cues because people are driven to stay aligned with their group.<\/li>\n<\/ul>\n\n\n\nMeasuring success with the Fogg Behavior Model<\/strong><\/h2>\n\n\n\nMeasuring the success of the Fogg Behavior Model starts with tracking what actually changes, not just what you hope<\/em> changes.<\/p>\n\n\n\nSo to see what’s working and what’s not, you need to capture the metrics for motivation, ability, and prompts.<\/p>\n\n\n\n
Start by measuring behavior completion rates.<\/strong><\/h3>\n\n\n\nCheck the completion rates before applying the Fogg Behavior Model, and then compare it to the numbers after. Keep monitoring these numbers regularly and make sure you track across different user groups, because not every segment will respond the same way.<\/p>\n\n\n\n
Monitor engagement patterns.<\/strong><\/h3>\n\n\n\nLook at engagement patterns like repeat behaviors, feature adoption, and how long users stay on a certain page. If your results show steady and healthy engagement, that’s a sign you’ve got sustainable behavior taking place, and it’s not just a temporary spike caused by a prompt.<\/p>\n\n\n\n
Run user surveys.<\/strong><\/h3>\n\n\n\nSend surveys and conduct user interviews to find out how motivated users feel and how difficult tasks are in practice. This will give you the qualitative data you need to give you more background, which will answer all the whys<\/em>.<\/p>\n\n\n\nDo A\/B testing<\/strong><\/h3>\n\n\n\nA\/B test different combinations of motivation boosts, ability improvements, and prompt types. See if what works in theory is what works for your audience in reality. Testing is really important because it removes guesswork and points you to the right mix and combination of efforts.<\/p>\n\n\n\n
The Fogg Behavior Model and RedTrack<\/strong><\/h2>\n\n\n\nEven though the Fogg Behavior Model was built to explain human psychology, its principles are used and applied by marketers, media buyers, and e-commerce teams in their everyday work. That’s because part of their job is to instigate behaviors, whether they be clicks, conversions, purchases, or repeat engagement.<\/p>\n\n\n\n
And that’s exactly where RedTrack comes in. RedTrack comes in to help you uncover all the touchpoints of your user journeys – the behaviors marketers depend on when it comes to landing bullet-proof strategies. It gives teams clean, accurate, real-time data so they don’t have to jump back and forth across different platforms and combine it all into a separate spreadsheet. It’s a force that fights through scattered dashboards, broken attribution, and missing insights.<\/p>\n\n\n\n
With RedTrack, you have a single source of truth, simplified reporting, and automated optimization. You basically have everything you need to make ad buying decisions easier, more targeted, and almost effortless.<\/p>\n\n\n\n
RedTrack also gives media buyers the clarity they need to see what\u2019s working. When results are visible, reliable, and easy to understand, you’ll know where to direct your budget with confidence.<\/p>\n\n\n\n
And when it comes to prompts<\/strong>, RedTrack helps marketers send better ones. Accurate data fed back into ad platforms improves algorithmic targeting. Automated rules act as timely nudges for scaling winners or cutting losers.<\/p>\n\n\n\nUse RedTrack to weave out a clear path for all your marketing and advertising budgets and put money into the avenues that you know deliver results. <\/p>\n","protected":false},"excerpt":{"rendered":"
Every day, people set goals they genuinely care about. From personal goals like “exercise more,” and “save money,” to career…<\/p>\n","protected":false},"author":9,"featured_media":12591,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_ap_featured_post":false,"footnotes":""},"categories":[185],"tags":[],"class_list":["post-12590","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ecommerce"],"acf":[],"yoast_head":"\n
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