Shafaat Choyon.

Customer journey mapper

Map seven stages from trigger to repeat and recommend. Note the barrier and the brand’s job at each, estimate drop-off, and find the biggest leak. Load a worked example from 15 industries; every brand in them is fictional. Built from the planning practice I learned in my agency years at Asiatic (JWT), adapted for today’s channels.

Built from my own work: ‘Bike Bazaar’ and a CPG-style offline trade play: trust by design

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StageBarrierThe brand's job% who continuePeople
Triggerstart-
Explore-
Compare-
Choose-
Buy-
Use-
Repeat and recommend-
End of journey-
Biggest leak-

FormulaPeople at stage = people at previous stage × % who continue

What to do next

    Show the working, step by step

      Where I used this

      Ekhanei’s Bike Bazaar sold 30% of stock in a day, grew users by 50% and lifted partner sales by 26%.

      Read the case: ‘Bike Bazaar’ and a CPG-style offline trade play: trust by design →

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      Map the whole system, not just the purchase

      People do not buy in a straight line, but mapping the stages makes the leaks visible. The most valuable stages are often the least glamorous: getting started after purchase, and staying remembered between purchases. Those drive repeat buying and recommendation, which feed the next trigger.

      • Use real data where you have it: search volume, site analytics, checkout funnels, repeat rates.
      • Interview recent buyers and people who nearly bought. The barrier column is only as good as what you hear from them.

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      Where is your journey leaking?

      Bring your map to a free 30-minute call, and I will help you pick the one stage worth fixing first.

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      Questions

      What is a customer journey map?

      A stage-by-stage view of how people move from first need to purchase, use and repeat, with the barriers at each step and the role the brand should play.

      How do I estimate the conversion at each stage?

      Use analytics, research and sales data. Where you have nothing, make a reasoned estimate, then replace it as data comes in.

      Why include use and repeat?

      Because keeping and growing customers is usually cheaper than winning new ones, and happy users trigger the next journey for someone else.

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