{"id":42868,"date":"2026-07-06T07:03:54","date_gmt":"2026-07-06T14:03:54","guid":{"rendered":"https:\/\/maccelerator.la\/?p=42868"},"modified":"2026-07-06T07:03:54","modified_gmt":"2026-07-06T14:03:54","slug":"how-to-create-a-customer-journey-map-for-food-and-beverage-brands-2","status":"publish","type":"post","link":"https:\/\/maccelerator.la\/en\/blog\/startup-strategy\/how-to-create-a-customer-journey-map-for-food-and-beverage-brands-2\/","title":{"rendered":"The Food &#038; Beverage Customer Journey Map That Actually Changes What You Ship (Not Just a Pretty Diagram)"},"content":{"rendered":"<p>To create a customer journey map for a food and beverage brand, document every touchpoint a customer has with your product across five stages \u2014 awareness, consideration, first purchase, consumption\/experience, and repurchase\/loyalty \u2014 then layer in their emotions, friction points, and decision triggers at each stage using real customer data, not assumptions. That is the entire discipline of <strong>How to Create a Customer Journey Map for Food and Beverage Brands<\/strong>: not a diagram exercise, but a system for finding the exact stage where your unit economics leak.<\/p>\n<p>Here is the situation most food founders are in. You crossed product-market fit. Month-one sales look strong. Then the second-month repeat rate flattens, and you cannot tell why.<\/p>\n<p>Is it packaging? Pricing? Shelf placement? Or the moment your product actually hits the customer&#8217;s mouth?<\/p>\n<p>You spend on more ads. CAC climbs. Retention keeps leaking. And you have a hunch the problem lives somewhere between the first bite and the second order \u2014 but no map that shows you where.<\/p>\n<p>Most journey maps become wall art. A pretty PDF nobody opens after the offsite. This one is built to change what you ship.<\/p>\n<p><strong>The pattern I see across F&#038;B brands is consistent: they overweight acquisition and underweight the consumption-to-repurchase gap \u2014 the exact stretch that determines lifetime value.<\/strong> Fix that gap and everything upstream gets cheaper.<\/p>\n<h2>Why Food &#038; Beverage Journeys Break the Standard Template<\/h2>\n<p>Grab any generic journey map template and you will find it was built for SaaS or e-commerce. It assumes a linear funnel: awareness to conversion to retention. Clean arrows. One channel.<\/p>\n<p>Food and beverage does not work that way. Three factors break the standard template.<\/p>\n<p><strong>First, the consumption moment is a distinct, high-stakes stage that software maps do not have.<\/strong> Your product literally has to taste good. If it does not, no amount of email nurture or loyalty points saves you. The bite is the truth. Everything else is packaging around that truth.<\/p>\n<p>Second, repurchase velocity and habit formation drive your entire unit economics \u2014 not one-time conversion. A SaaS map obsesses over the moment of purchase. In F&#038;B, the first purchase is table stakes. The economics live in whether someone buys the third, fifth, and tenth time. Habit is the business model.<\/p>\n<p>Third, the journey is non-linear across channels. The same customer might see your Instagram ad, taste a sample at a farmers market, spot you on a grocery shelf, then buy on Amazon three weeks later. Four touchpoints. No clean order.<\/p>\n<p>Contrast that with a B2B funnel \u2014 lead, demo, proposal, close, renewal. Predictable. Sequential. Attributable. The B2B founder maps a straight line and it mostly holds. The food founder who maps a straight line maps a fantasy.<\/p>\n<blockquote><p>&#8220;In F&#038;B, the product is not the thing you sell. The repeat is the thing you sell. The product is just the price of admission to the second order.&#8221; \u2014 M Studio operator note<\/p><\/blockquote>\n<p>Consider an anonymized pattern we worked with: a DTC beverage brand at roughly $1.2M ARR. Trial rates looked healthy. Repeat orders were bleeding. The founder assumed the product was the issue and started reformulating.<\/p>\n<p>Mapping the journey told a different story. The friction was subscription onboarding \u2014 the delivery cadence was unclear, so customers did not know when the next shipment arrived. They churned out of confusion, not dissatisfaction. The product was fine. The map found the real leak.<\/p>\n<p>That is the difference between a template and a map built for how food is actually bought and consumed.<\/p>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li><strong>F&#038;B journeys have a consumption moment<\/strong> \u2014 a distinct stage SaaS maps ignore. If the product does not deliver in the mouth, nothing downstream matters.<\/li>\n<li><strong>Repurchase economics beat conversion economics.<\/strong> A 10-point lift in repeat rate usually outperforms any acquisition optimization.<\/li>\n<li><strong>A map is only as good as the customer evidence behind it.<\/strong> Assumptions produce wall art; data produces decisions.<\/li>\n<li><strong>The biggest drop-off is usually between first and second purchase<\/strong> \u2014 and it is fixable with onboarding and education, not discounting.<\/li>\n<li><strong>The map is worthless unless it changes what you ship, spend, or fix.<\/strong> Prioritize by impact on repeat rate times ease of fix.<\/li>\n<\/ul>\n<h2>Gather This Before You Draw a Single Box<\/h2>\n<p>A journey map is only as good as the customer evidence behind it. Draw boxes based on your gut and you have built a very organized set of assumptions. That is worse than nothing \u2014 it feels like insight.<\/p>\n<p>Before you map, collect these inputs.<\/p>\n<ul>\n<li><strong>Post-purchase survey data<\/strong> \u2014 why they bought, what they expected, whether it was met.<\/li>\n<li><strong>Repeat-purchase cohort data<\/strong> \u2014 how many first-time buyers come back at 30, 60, and 90 days.<\/li>\n<li><strong>Retail scan data or DTC analytics<\/strong> \u2014 where and how volume actually moves.<\/li>\n<li><strong>Sample-to-purchase conversion<\/strong> \u2014 the number most sampling programs never track.<\/li>\n<li><strong>Support and DM themes<\/strong> \u2014 the questions and complaints that repeat.<\/li>\n<li><strong>5\u201310 qualitative customer interviews<\/strong> \u2014 the input founders skip and need most.<\/li>\n<\/ul>\n<p>The F&#038;B-specific input almost everyone skips is <strong>consumption moment data<\/strong>. Reviews. Star ratings. Taste feedback. The verbatim language people use to describe the experience of eating or drinking your product.<\/p>\n<p>This is where the truth hides. Not in your conversion rate. In the sentence a customer writes at 11pm after trying your product.<\/p>\n<p>For the interviews, keep the question set tight and behavioral. Ask what they were doing the first time they used the product. Ask what almost stopped them from buying. Ask what they told a friend, if anything. Ask what would make them run out and rebuy versus forget you exist.<\/p>\n<p>Do not ask if they &#8220;liked&#8221; it. Everyone likes everything to your face. Ask what they did next \u2014 behavior does not lie.<\/p>\n<p>Here is a pattern worth remembering. A food brand founder was convinced price was the churn driver. They were one discount away from torching their margin. The interviews revealed the real issue: flavor fatigue. Customers loved the product and got bored of the same SKU.<\/p>\n<p>The fix was a rotating SKU strategy, not a discount. Retention recovered. Margin stayed intact. The map \u2014 powered by real conversations \u2014 pointed at the right lever.<\/p>\n<p>Founders who want ongoing tactical breakdowns like this one \u2014 the specific questions, the specific metrics \u2014 can join the <a href=\"https:\/\/ma-network.kit.com\/\" target=\"_blank\" rel=\"noopener nofollow external noreferrer\" data-wpel-link=\"external\">AI Acceleration newsletter<\/a>, where we publish operator-grade playbooks each week.<\/p>\n<h2>The Five Stages of an F&#038;B Customer Journey<\/h2>\n<p>Now the structure. Five stages. Each one has F&#038;B-specific touchpoints, a dominant customer emotion, and one metric that tells you whether the stage is healthy.<\/p>\n<h3>Stage 1: Awareness<\/h3>\n<p><strong>Definition:<\/strong> the customer first learns you exist. Touchpoints in F&#038;B are broad \u2014 a social ad, a friend&#8217;s recommendation, a farmers market sample, an end-cap display, an influencer unboxing.<\/p>\n<p>The customer&#8217;s question here is simple: <em>what is this and why should I care?<\/em> The emotion is curiosity or, more often, indifference. You are competing with everything else in their feed and every other product on the shelf.<\/p>\n<p>The metric to watch is reach-to-consideration rate \u2014 how many who see you actually click, stop, or pick up the package. If awareness is high and consideration is low, your positioning is the problem, not your budget.<\/p>\n<h3>Stage 2: Consideration<\/h3>\n<p><strong>Definition:<\/strong> the customer evaluates whether to try you. They read the label. They check reviews. They compare price per serving. They ask if it fits their diet, their kid, their macros.<\/p>\n<p>The emotion is skepticism. Food is intimate \u2014 people are cautious about what they put in their body. Touchpoints include your product page, ingredient list, review section, and any third-party validation.<\/p>\n<p>Watch the consideration-to-first-purchase rate. A common failure here is unclear differentiation \u2014 the customer cannot tell why you beat the incumbent they already trust.<\/p>\n<h3>Stage 3: First Purchase<\/h3>\n<p><strong>Definition:<\/strong> money changes hands for the first time. In DTC, this is checkout. In retail, it is the moment the product enters the cart. In food service, it is the first order.<\/p>\n<p>The emotion is a mix of hope and mild risk. They are betting a few dollars that you will not disappoint. Reduce friction here \u2014 confusing checkout, unclear shipping, or a cluttered shelf presence costs you buyers who already decided to try.<\/p>\n<p><strong>The metric is first-purchase conversion, but do not celebrate it.<\/strong> In F&#038;B, the first purchase is the beginning, not the win.<\/p>\n<h3>Stage 4: Consumption \/ Experience<\/h3>\n<p><strong>Definition:<\/strong> the customer actually uses the product. This is the stage that does not exist in SaaS journey maps and it decides everything. The bite. The sip. The morning they brewed it wrong.<\/p>\n<p>The emotion ranges from delight to quiet disappointment. Touchpoints include the unboxing, the preparation instructions, the first taste, and the &#8220;did this meet my expectation&#8221; gut check.<\/p>\n<p>Watch reviews, ratings, and repeat intent signals. This is where a specialty coffee brand we studied found its biggest drop-off \u2014 a 60% one-and-done rate. The cause was not flavor. It was that customers brewed it wrong at home and blamed the product. No post-purchase brewing guidance existed.<\/p>\n<h3>Stage 5: Repurchase \/ Loyalty<\/h3>\n<p><strong>Definition:<\/strong> the customer comes back \u2014 and eventually brings others. This is where LTV is built and where word-of-mouth loops attach. F&#038;B is one of the most referral-driven categories on earth. People talk about what they eat.<\/p>\n<p>The emotion is trust turning into habit. Touchpoints include reorder prompts, subscription cadence, loyalty rewards, and the moment a happy customer tells a friend or posts a photo.<\/p>\n<p>The metric is 90-day repeat rate and referral rate. <strong>Attach your advocacy loop here \u2014 a customer who repurchased three times is your cheapest and most credible acquisition channel.<\/strong><\/p>\n<p>Map all five. Layer emotion and friction onto each. The stage with the largest drop-off tied to lifetime value is where your next quarter of work lives.<\/p>\n<h2>DIY, Template, or Facilitated: How to Actually Choose<\/h2>\n<p>There are three ways to build this map. None is universally right. The right choice depends on your stage, your bandwidth, and your honesty with yourself.<\/p>\n<h3>Approach 1: Templates<\/h3>\n<p>Free and paid templates \u2014 the UXPressia-style tools \u2014 are fast and cheap. They give you clean structure and a professional-looking artifact. Good for organizing your thinking.<\/p>\n<p>The weakness is that they are generic and easy to abandon. A template does not force you to gather real data. It does not challenge your assumptions. It happily lets you fill the boxes with what you already believe, then produces a polished diagram of your own blind spots.<\/p>\n<h3>Approach 2: Fully DIY from Scratch<\/h3>\n<p>Building your own map from raw customer data gives you total control and deep ownership. Founders who do this well understand their business at a level no template delivers.<\/p>\n<p>The risk is speed and self-deception. It is slow. And you are grading your own homework \u2014 confirmation bias creeps in at every stage. You will unconsciously map the story that flatters your last decision.<\/p>\n<h3>Approach 3: Facilitated \/ Guided<\/h3>\n<p>A facilitated process brings outside perspective that pressure-tests what you cannot see about your own business. It surfaces blind spots faster and forces the map toward a decision, not just a diagram.<\/p>\n<p>The cost is investment \u2014 time and, depending on the format, money. It earns that cost when you are at an inflection point and the price of optimizing the wrong stage is high.<\/p>\n<p>This is the approach we take in our <a href=\"https:\/\/maccelerator.la\/en\/the-studio-approach\/\" data-wpel-link=\"internal\">Studio Approach<\/a> \u2014 a facilitated, decision-oriented process that pressure-tests founder assumptions and connects the map to unit economics. Not a template you fill alone. A structured challenge to the story you are telling yourself.<\/p>\n<h3>Five Criteria to Judge Any Approach<\/h3>\n<p>Regardless of which path you pick, hold it against these five questions.<\/p>\n<ol>\n<li><strong>Does it force you to use real customer data<\/strong> \u2014 or let you map assumptions?<\/li>\n<li><strong>Does it surface blind spots you cannot see yourself?<\/strong> If the process only confirms what you already believe, it failed.<\/li>\n<li><strong>Does it connect to unit economics?<\/strong> A map that does not tie stages to LTV and repeat rate is decoration.<\/li>\n<li><strong>Does it produce a decision, not just a diagram?<\/strong> You should finish with a ranked list of things to fix.<\/li>\n<li><strong>Does it fit your stage and bandwidth?<\/strong> A ten-week research process at pre-seed is malpractice; a template at Series A is negligence.<\/li>\n<\/ol>\n<blockquote><p>&#8220;The value of a journey map is not the map. It is the argument it forces you to have with your own assumptions \u2014 out loud, with evidence on the table.&#8221; \u2014 Alessandro Marianantoni<\/p><\/blockquote>\n<p>Across 25+ years building at Google, Disney, and Siemens, and building alongside 500+ founders in 30 countries, the pattern is stable: the artifact never mattered. The decision it forced did.<\/p>\n<h2>&#8220;Do We Even Need This Right Now?&#8221; \u2014 Honest Answers to Real Objections<\/h2>\n<p>Let me handle the objections directly, including the ones that argue against hiring anyone at all.<\/p>\n<h3>&#8220;We don&#8217;t have the budget for this.&#8221;<\/h3>\n<p>A journey map audit costs mostly time, not money. You start with data you already have \u2014 your analytics, your reviews, your support inbox. The v1 is nearly free.<\/p>\n<p>The real ROI is preventing wasted spend on the wrong lever. Discounting when the problem is onboarding burns margin and fixes nothing. <strong>The map pays for itself the first time it stops you from spending on the wrong stage.<\/strong><\/p>\n<h3>&#8220;We can figure this out ourselves.&#8221;<\/h3>\n<p>You can. Many founders do, and I respect it. The honest risk is not competence \u2014 it is proximity.<\/p>\n<p>You are too close to your own product to see it as a stranger does. Confirmation bias is not a character flaw; it is a structural feature of building the thing yourself. An outside pressure-test earns its keep at inflection points precisely because it is not emotionally invested in your last decision.<\/p>\n<p>Consider a Series A F&#038;B founder who &#8220;figured it out themselves&#8221; for a year. Smart operator. Real progress. Then, in a single facilitated session, they discovered they had been optimizing the wrong stage entirely \u2014 pouring energy into awareness when the leak was between first and second purchase. A year of effort aimed one stage too early.<\/p>\n<h3>&#8220;We&#8217;re too early-stage for this.&#8221;<\/h3>\n<p>Post-PMF is exactly the right time. Mapping before you scale spend is the whole point.<\/p>\n<p>If you pour CAC into a leaky retention bucket, you do not get growth \u2014 you get an expensive way to lose money faster. <strong>The map is cheap insurance against scaling a broken funnel.<\/strong><\/p>\n<h3>&#8220;We already have advisors and mentors.&#8221;<\/h3>\n<p>Advisors give you opinions. Valuable ones. But most advice arrives as generic wisdom, not a structured process anchored to your specific cohort data. A facilitated map is a system, not a conversation over coffee.<\/p>\n<h3>&#8220;How is this different from a regular accelerator?&#8221;<\/h3>\n<p>A regular accelerator optimizes for a demo day and a batch. Our work is stage-appropriate and integrated \u2014 strategy, execution, and communication together, tied to your actual unit economics.<\/p>\n<p>Founders who want structured peer plus operator pressure-testing at this level explore <a href=\"https:\/\/maccelerator.la\/en\/elite-founders\/#eluid0006ca88\" data-wpel-link=\"internal\">Elite Founders<\/a> to see whether the format fits their stage.<\/p>\n<h2>From Map to Money: Making It Actually Drive Decisions<\/h2>\n<p>Here is the part everyone skips. The map is worthless unless it changes what you ship, spend, or fix. A beautiful diagram that lives in a Notion doc is a cost, not an asset.<\/p>\n<p>Convert the map into a ranked list of fixes. The process is simple and most founders never do it.<\/p>\n<ol>\n<li><strong>Identify the single highest-leverage friction point<\/strong> \u2014 usually the largest drop-off tied to LTV. Not the most annoying problem. The most expensive one.<\/li>\n<li><strong>Assign an owner.<\/strong> A fix without a name attached does not happen.<\/li>\n<li><strong>Ship one experiment per stage.<\/strong> Do not boil the ocean. One clean test per stage keeps causation legible.<\/li>\n<li><strong>Re-measure.<\/strong> Same cohort logic. Same metric. Did the drop-off shrink?<\/li>\n<\/ol>\n<p>Use a prioritization lens that fits how food economics actually work: <strong>impact on repeat-purchase rate \u00d7 ease of fix<\/strong>. High impact and easy goes first. High impact and hard goes second. Low impact and easy is a trap that feels productive.<\/p>\n<p>Remember the math. A 10-point improvement in 90-day repeat rate usually beats any acquisition optimization you can run. Retention compounds. Acquisition just refills the top.<\/p>\n<p>Consider a food brand that reallocated budget away from paid acquisition and into a post-first-purchase flow \u2014 sampling adjacent SKUs plus education on how to use the product. Their 90-day repeat rate lifted materially. Same spend. Redirected to the stage that actually moved LTV.<\/p>\n<blockquote><p>&#8220;Every founder wants to fix acquisition because it is visible. The money is almost always hiding one stage later \u2014 in the part nobody photographs for the pitch deck.&#8221; \u2014 M Studio operator note<\/p><\/blockquote>\n<p>Avoid the map-and-forget trap. Revisit the map quarterly. As you fix one stage, the bottleneck moves. The map is a living instrument, not a one-time deliverable.<\/p>\n<p>Founders working through this at the growth stage often structure it through our <a href=\"https:\/\/maccelerator.la\/en\/growth-stage-startup\/\" data-wpel-link=\"internal\">Growth Partnerships<\/a>, where the map connects directly to a spend and experiment plan.<\/p>\n<h2>Target Audience: Who This Map Is Built For<\/h2>\n<p>This process is built for post-PMF food and beverage founders between roughly $50K and $3M ARR. Strong enough to have real customer data. Early enough that scaling the wrong lever still hurts.<\/p>\n<p>If you are pre-revenue, you do not have the consumption data to map honestly. Go get sales first. If you are well past $3M with a mature retention engine, you likely have this instrumented already.<\/p>\n<p>The sweet spot is the founder staring at flat repeat rates, unsure whether the problem is packaging, pricing, or the product itself. That founder gets the most from a rigorous map.<\/p>\n<h2>Defining Your Personas Without Fictionalizing Them<\/h2>\n<p>Personas in F&#038;B fail when they become demographic cartoons \u2014 &#8220;Healthy Hannah, 32, does yoga.&#8221; That tells you nothing about repurchase behavior.<\/p>\n<p>Build personas around <strong>consumption occasion and repurchase driver<\/strong> instead. The morning-ritual buyer behaves differently from the impulse-snack buyer. One rebuys on habit. The other rebuys on novelty.<\/p>\n<p>Ground every persona in the interview and cohort data you gathered. If you cannot point to the customer quotes behind a persona, you invented it \u2014 and you will map a fantasy again.<\/p>\n<h2>Building a Customer Journey Map for a Food Retail Brand<\/h2>\n<p>Retail adds complexity DTC does not have. You lose direct data. The shelf is a touchpoint you do not fully control, and the moment of purchase often happens with no email address captured.<\/p>\n<p>For food retail, lean harder on scan data, sampling conversion, and in-store observation. The awareness and first-purchase stages happen at the shelf. The consumption and repurchase stages happen at home \u2014 invisible to you unless you build a bridge back.<\/p>\n<p><strong>That bridge is usually packaging.<\/strong> A QR code to a usage guide, a reorder incentive, a reason to connect after the first purchase. In retail, your packaging is your onboarding flow. Treat it that way.<\/p>\n<h2>Analyzing a Customer Journey Map for a Food Retail Brand<\/h2>\n<p>Analysis is where most maps die. You built the diagram; now interrogate it.<\/p>\n<p>Ask three questions at every stage. Where is the largest drop-off? Is that drop-off tied to lifetime value or just to vanity volume? And what single experiment would tell you the cause?<\/p>\n<p>For retail specifically, cross-reference velocity by location against your sampling and marketing spend. A store with high trial and low repeat has a consumption problem. A store with low trial has an awareness or placement problem. The map tells you which \u2014 so you stop treating both the same way.<\/p>\n<blockquote><p>&#8220;Analysis without a drop-off ranked by LTV impact is just admiring your own diagram. Rank it, or you will fix the loudest problem instead of the costliest one.&#8221; \u2014 Alessandro Marianantoni<\/p><\/blockquote>\n<h2>FAQ<\/h2>\n<h3>How to create a customer journey map step by step?<\/h3>\n<p>Gather real customer data first \u2014 surveys, cohort repeat rates, reviews, and 5\u201310 interviews. Then map the five stages: awareness, consideration, first purchase, consumption, and repurchase. Layer emotions and friction onto each stage. Identify the largest drop-off tied to lifetime value. Ship one experiment to fix it, then re-measure. The step order matters less than the discipline of using evidence over assumption.<\/p>\n<h3>What are the 7 steps to map the customer journey?<\/h3>\n<p>A common seven-step version: define objectives, build data-backed personas, list touchpoints, define stages, gather customer research, plot emotions and friction, then prioritize fixes. For food and beverage, add an explicit consumption-experience step \u2014 the moment the product is eaten or drunk \u2014 because that stage decides repurchase and standard templates omit it.<\/p>\n<h3>What are the 5 A&#8217;s of the customer journey?<\/h3>\n<p>The 5 A&#8217;s are Aware, Appeal, Ask, Act, and Advocate. It is a useful lens, especially the Advocate stage \u2014 F&#038;B is heavily word-of-mouth driven. That said, the 5 A&#8217;s underweight the consumption moment. For food brands, treat the experience of using the product as its own critical stage between Act and Advocate.<\/p>\n<h3>What is the most popular journey mapping tool?<\/h3>\n<p>Tools like UXPressia, Smaply, and Miro are widely used and good for structure and collaboration. They are strong at producing a clean artifact and<\/p>\n<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Article\",\n  \"headline\": \"\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Alessandro Marianantoni\",\n    \"jobTitle\": \"Founder & CEO\",\n    \"worksFor\": {\n      \"@type\": \"Organization\",\n      \"name\": \"M Accelerator\"\n    },\n    \"alumniOf\": [\n      {\n        \"@type\": \"Organization\",\n        \"name\": \"UCLA\"\n      },\n      {\n        \"@type\": \"Organization\",\n        \"name\": \"Google\"\n      },\n      {\n        \"@type\": \"Organization\",\n        \"name\": \"Disney\"\n      },\n      {\n        \"@type\": \"Organization\",\n        \"name\": \"Siemens\"\n      }\n    ],\n    \"description\": \"25+ years building for Fortune 500, UCLA faculty, worked with 500+ founders across 30 countries\",\n    \"url\": \"https:\/\/maccelerator.la\/en\/about\/\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"M Accelerator\"\n  },\n  \"keywords\": \"How to Create a Customer Journey Map for Food and Beverage Brands\"\n}\n<\/script><br \/>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Person\",\n  \"name\": \"Alessandro Marianantoni\",\n  \"jobTitle\": \"Founder & CEO\",\n  \"worksFor\": {\n    \"@type\": \"Organization\",\n    \"name\": \"M Accelerator\"\n  },\n  \"alumniOf\": [\n    {\n      \"@type\": \"Organization\",\n      \"name\": \"UCLA\"\n    },\n    {\n      \"@type\": \"Organization\",\n      \"name\": \"Google\"\n    },\n    {\n      \"@type\": \"Organization\",\n      \"name\": \"Disney\"\n    },\n    {\n      \"@type\": \"Organization\",\n      \"name\": \"Siemens\"\n    }\n  ],\n  \"description\": \"25+ years building for Fortune 500, UCLA faculty, worked with 500+ founders across 30 countries\",\n  \"url\": \"https:\/\/maccelerator.la\/en\/about\/\"\n}\n<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>To create a customer journey map for a food and beverage brand, document every touchpoint a customer has with your product across five stages \u2014 awareness, consideration, first purchase, consumption\/experience, and repurchase\/loyalty \u2014 then layer in their emotions, friction points, and decision triggers at each stage using real customer data, not assumptions. 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