Touchpoint Optimization for Each Journey Stage

Touchpoint optimization for planned journeys: score the touchpoints at each stage and fix those that cost the most consideration or add friction.

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At a Glance

Overview

Touchpoint optimization in a planned journey means improving the specific places where buyers meet your brand, stage by stage, so that more of them keep you in consideration and fewer stall. A touchpoint is any point of contact: an advertisement, a review, a comparison site, a showroom visit, a call with a salesperson, a pricing page, a finance form. In a long, deliberate purchase there are many of them, and they do different jobs at different stages.

Journey stage optimization starts from the idea that a touchpoint's value depends on the stage. In the latent stage, buyers are receiving information passively, as a SKIM expert Q&A describes it, so a touchpoint succeeds if it leaves a memory the buyer can retrieve later. In evaluation, a touchpoint succeeds if it answers the buyer's comparison questions. In buying, it succeeds if it removes the last doubts and makes the purchase easy. The same comparison page can be excellent at evaluation and useless at latent.

The skill has two halves. The first is an inventory: which touchpoints buyers actually use at each stage and how much each influences the decision. SKIM's journey work aims to identify the where, when, what and how of touchpoints and which are most impactful (SKIM journey mapping). The second is repair: choosing the few touchpoints whose improvement would recover the most buyers at the transitions where your brand loses them, and fixing them.

The goal is to reduce customer journey friction where it costs the most. Friction is anything that slows or stops a buyer who would otherwise continue: missing information, a confusing form, a slow reply, a surprise fee. The Planned Journey Framework page explains the stages and why their transitions matter.

How It Works

The inventory lists touchpoints by stage. A useful starting size, according to SKIM, is that "15 touchpoints is a good target when starting to map your consumer decision journey" (SKIM six steps). The list should include touchpoints you do not control, such as reviews, forums and friends, because buyers weigh them heavily and you can often influence them indirectly.

Each touchpoint gets two kinds of score. Reach is how many buyers at that stage encounter it. Influence is how much it shapes whether they keep a brand in consideration. Reach comes from analytics and surveys. Influence comes from asking buyers which sources mattered and from modeling: SKIM describes estimating how much of a role each touchpoint plays in the final decision using sequence analysis and predictive modeling (SKIM six steps).

Where click data exists, attribution models help, with a caveat. Last-click attribution, as Google Analytics documents it, gives 100% of the key event value to the last channel clicked (Google Analytics attribution), which undervalues latent and early evaluation touchpoints in a long journey. Data-driven attribution spreads credit using the account's own data, but it still sees only tracked clicks. Treat attribution as one input alongside buyer research.

Each touchpoint also gets a performance score: how well it does its job at its stage. For evaluation touchpoints, research on online decision-making offers a checklist. Google's study of the "messy middle" describes buyers looping between exploration and evaluation and names six biases that influence choices there: category heuristics, the power of now, social proof, scarcity, authority and the power of free (Think with Google). An evaluation touchpoint that offers no reviews, no expert view and no clear summary of key specifications is missing several of them.

Priority comes from combining the scores with the cross-stage findings. A touchpoint with high reach, high influence and poor performance, at the transition where your brand loses the most buyers, goes to the top. Low-reach touchpoints with poor performance can wait, however visible they are internally.

Step-by-Step Guide

Step 1: List touchpoints by stage

Using buyer interviews, analytics, CRM data and staff knowledge, list the touchpoints buyers use in the latent, evaluation and buying stages. Include third-party touchpoints such as reviews, comparison sites and advice from friends. Start with a manageable list, around the size SKIM suggests, and add more only when buyers mention them. Note the owner of each touchpoint you control.

Step 2: Score reach and influence

For each touchpoint, estimate how many buyers at that stage encounter it and how much it affects their consideration. Use surveys for stated influence and analytics or modeling for observed influence. Where the two disagree, note it and look for the reason in interviews. Mark scores that rest on thin evidence.

Step 3: Score performance against the stage's job

Define the job of each stage: be remembered at latent, answer comparison questions at evaluation, remove doubt and effort at buying. Score each touchpoint on how well it does that job, using buyer feedback, usability checks and mystery shopping where relevant. For evaluation touchpoints, check for the decision aids named in the messy middle research, such as reviews, expert opinion and clear summaries.

Step 4: Link touchpoints to the losing transitions

Take the transitions where consideration tracking shows your brand losing buyers. For each, list the touchpoints buyers use just before and during that transition. Read buyer accounts of why they dropped the brand and match the reasons to touchpoints. This connects each fix to a measured loss.

Step 5: Prioritize fixes

Rank touchpoints by reach times influence times the performance gap, weighted toward the losing transitions. Pick a small number of fixes the owners can deliver. Write each fix with the touchpoint, the problem, the change, the owner and the measure that should move.

Step 6: Fix and test

Make the changes, testing them where the touchpoint allows controlled comparison, such as a web page or an email. For touchpoints that cannot be tested directly, such as a showroom process, run a pilot in a few locations and compare. Keep a record of what changed and when, so later consideration data can be read against it.

Step 7: Re-measure the transition

After enough time for buyers to pass through the stage, repeat the consideration and touchpoint measurement. Check whether the losing transition improved, and whether the loss moved to another point. Update the inventory and choose the next fixes.

Best Practices

• Judge each touchpoint against its stage's job. Judge a latent-stage advertisement on whether buyers remember it and consider the brand later. Immediate clicks measure a different job.
• Include touchpoints you do not own. Reviews, forums and friends often carry more weight in evaluation than brand-owned content, and they can be influenced through service, product quality and review programs.
• Combine stated and observed influence. Buyers remember some sources better than others, and analytics only sees tracked ones, so each corrects the other (SKIM journey mapping).
• Start from the losing transition. Fixing the most visible touchpoint is tempting, but the payoff comes from the transition where buyers are actually lost.
• Keep a change log. Long journeys mean results arrive months later, and without a log nobody can tell which change caused them.
• Limit the number of simultaneous fixes. A few well-measured changes teach more than many overlapping ones.

Common Mistakes

• Optimizing only the buying stage: Buying-stage touchpoints are closest to revenue and easiest to measure, so they attract effort even when the loss happens earlier.
• Trusting last-click attribution: Last-click credits the final channel and ignores the months of latent and evaluation contact that put the brand in the set.
• Scoring touchpoints without reach: A beautifully fixed touchpoint that few buyers see changes little. Always weigh performance against reach.
• Mixing stage jobs: Pushing detailed specifications at latent buyers or brand mood films at buyers comparing prices wastes both. Match content to the stage.
• Stopping after the fix: Without re-measuring the transition, the team cannot tell whether the fix worked or simply moved the loss.

References

• Examples: Worked examples and scenarios
• FAQ: Frequently asked questions
• Parent Method: Planned Journey Framework

Related Skills

• Brand Consideration Tracking Across Journey Stages
• Connecting Cross-Stage Journey Insights
• Planned Journey Framework Stages: Latent, Evaluation, Buying
• Research-Intensive Purchase Mapping for Planned Journeys
• Building a Planned Journey Funnel Diagram
• Planned Journey Framework for B2B Buying Committees

Sources

• SKIM: 6 steps to untangle consumer decision journeys
• SKIM: Decision and customer journey mapping
• SKIM Expert Q&A: customer journey mapping
• Think with Google: the messy middle
• Google Analytics Help: Get started with attribution

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