Programme awareness is easy to overestimate. A member can recognise an airline’s loyalty identity instantly and still have no idea what a particular offer lets them do. They may have opened the email, read every line and remained unsure about the next step. When participation stays low, the common reaction is to send more, louder. The more useful reaction is to find out which kind of gap you are looking at.
This article develops loyalty marketing our founder led, where a Southeast Asian airline sat among the accounts supported by an international programme portfolio. The documented scope covered digital marketing, customer experience and engagement at portfolio level. We make no assumptions about specific markets, routes or account-level results. The focus is diagnostic: what the available evidence can tell you about why interested people stop, and what it cannot.
Recognition, understanding and action are different states
Teams often talk about “awareness” as if it were one thing, and then treat everything after it as conversion. In a loyalty programme, three separate states sit between seeing the brand and taking part. A member can be in the first without ever reaching the second.
Three states that are easy to confuse
Recognition
The member knows the airline and its programme exist. They may know the name, the logo and that points are involved.
Understanding
The member can say what this particular offer allows and why it might be useful to them.
Action
The member knows the next step, can find it and completes it.
These are states of mind, not a measured funnel. Most programmes can observe parts of action directly; recognition and understanding usually need surveys, testing or member questions to read.
The distinction matters because each gap has a different fix. A recognition gap is a reach question. An understanding gap is an explanation question. An action gap is a question about the destination and the steps. Treating all three as “low conversion” leads to the most expensive response, which is more media behind a message that was never clear in the first place.
What the data can see, and what it cannot
Before reading any results, we would agree what each campaign is meant to achieve and label it accordingly. Reporting then separates message response from completed participation, and where the data allows, acquisition of new participants from renewed engagement among existing ones. That split tells the programme team whether a campaign is broadening the audience or making an established audience more active, which are different successes with different costs.
This is the foundation of campaign measurement and attribution: defining outcomes before interpreting performance. It also sets honest limits. Clicks show interest in a message. They do not prove understanding, and they do not prove purchase or programme value. Revenue attribution requires transaction evidence and a defined scope. Where the data stops, the report should say so rather than fill the space with a modelled figure. The same boundary applies at portfolio level, which is why programme-wide results are reported only in the umbrella loyalty programme story and not divided among airlines.
Data also cannot see the conversations that happen elsewhere. A member who asks a colleague, reads a forum thread or calls the service centre leaves no trace in campaign analytics. Some of the most important evidence about understanding lives outside the dashboard.
Reading the pattern before changing anything
Where people stop is useful evidence, but it rarely identifies the cause on its own. The same drop can have several explanations, and each points to a different change. We would put the pattern, the candidate explanations and the evidence needed to choose between them side by side before anyone revises a campaign.
A diagnostic table for incomplete participation
| Response pattern | Possible explanation | Evidence needed | Potential next change |
|---|---|---|---|
| Few relevant members respond to the message | Wrong audience, poor timing, or a proposition that does not read as relevant | Response by segment and eligibility; message recall from a small survey | Revise selection rules or the opening proposition before adding reach |
| Members click but leave the destination quickly | The page does not match the promise, or the offer is unclear on arrival | Message and page compared side by side; short tests with unfamiliar users | Align the page’s opening with the message wording |
| Members start the steps but do not finish | A condition, requirement or step is unexpected or awkward | Step-level data where recorded; support questions naming that step | Simplify the step or surface the condition earlier |
| Existing participants respond, new members do not | The explanation assumes knowledge newcomers lack | Results split by new and existing members | Add an introductory route for newcomers |
| Response differs sharply by channel | Some channels carry too little explanation for this offer | Channel-level response against the role each channel was given | Change what each channel is asked to do, not only the spend |
The last column holds three distinct kinds of decision: clearer wording, a better audience or a simpler next step. They should not be collapsed into a general instruction to “improve performance”. Audience and channel questions connect to media planning and buying; the wording and the destination belong to the editorial and experience teams. When the evidence points at the page, the detailed work is covered in reviewing the participation experience.
Different starting points, different gaps
Members recognise the same airline from very different positions. Before creating a campaign, we would define what each group should learn or do. That stops an introductory message being overloaded with instructions meant for experienced users, and stops a reminder from assuming knowledge its audience does not have.
Where the gap usually sits, by starting point
New to the offer
Likely gap: understanding. They recognise the airline but not this option. Communication needs a concrete example of what the offer allows and a clear statement of who it is for. Evidence to watch: whether they reach the destination at all, and what they ask once they do.
Interested but inactive
Likely gap: action. They have engaged before and stopped. Communication should address the most probable unresolved question, not repeat the introduction. Evidence to watch: where previous attempts ended and which questions this group raises with support.
Established participant
Likely gap: relevance. They understand the process and need a specific opportunity. Communication can be short and direct. Evidence to watch: renewed participation compared with the group’s own past pattern, not with newcomers.
None of these groups is assigned a size here; the record contains no segment counts for this airline. The point is that the same headline result can hide opposite problems in different groups, so results should be read by starting point whenever the data allows.
Member questions are evidence too
Teams answering member questions often notice confusion that campaign data cannot explain. A spike in people asking whether an offer applies to them is a direct reading of an understanding gap, and it can arrive before the analytics show anything. We would bring those observations into every performance review, alongside the behavioural data.
Two kinds of evidence, read together
What people say they do not understand
Collected from service teams, partner support and replies to campaigns. Grouped by theme: eligibility, steps, partner role, what happens afterwards. Shows the cause in the member’s own words, but over-represents people motivated enough to ask.
What people actually do
Response, arrival, step progression and completion, split by campaign label and starting point. Shows where people stop across the whole audience, but not why.
Read together, they help separate a weak proposition from an explanation that simply needs reorganising. A proposition problem shows as low response and few questions: people are not interested enough to ask. An explanation problem shows as healthy response and many questions about the same point.
