Measuring brand lift among Ghanaian British audiences

To measure whether a campaign improves brand consideration among Ghanaian British audiences, compare a pre-defined survey outcome between a randomly assigned campaign group and a holdout group. Recruit through voluntary self-identification, check sample quality and report uncertainty: clicks, postcode targeting and platform reach cannot establish community-specific brand lift on their own.

The question: did the campaign change consideration?

A UK brand manager investing in culturally adapted creative needs to know whether it changes a meaningful audience outcome. A strong click-through rate might show that an execution attracts attention. It does not tell you whether more people would consider buying the brand.

Brand lift is the difference in a defined brand outcome between comparable groups. A credible experiment helps establish whether the campaign caused that difference, rather than simply reaching people who already liked the brand.

For this guide, use one primary outcome: the proportion of eligible respondents who say they would consider the brand when next buying in its category.

Define the eligible audience before recruitment. “Ghanaian British” may describe nationality, heritage or a personal identity; these are not interchangeable. Specify UK residence, relevant age and category eligibility, then explain which self-described identities or family backgrounds qualify. Allow mixed heritage and multiple identities.

Choose the comparison that answers your decision

Two questions require different comparisons:

• Did the campaign work? Compare an audience assigned to receive the campaign with a holdout not assigned to receive it.
• Did cultural adaptation add value? Compare the adapted creative with the standard creative under otherwise comparable conditions.

If budget and sample size allow, a three-arm study can include adapted creative, standard creative and a holdout. If they do not, choose the business decision that matters most. Do not spread a small sample across so many cells that none is informative.

For an adapted-versus-standard test, keep the offer, format, placement, campaign period and delivery conditions comparable. Otherwise, a difference attributed to cultural relevance might actually reflect a stronger discount or more frequent exposure.

Decide what result would change your next investment before the campaign starts. That means setting a minimum commercially meaningful improvement, not choosing a success threshold after seeing the data.

Recruit people, not postcode assumptions

Location can help you find recruitment opportunities. It cannot establish an individual's ethnicity or identity. Nor can a surname, language preference, creator follow or interest in Ghanaian football.

Use clear, optional self-identification questions through a suitable research provider. Explain the research purpose and offer a “prefer not to say” response. Avoid requiring participants to prove cultural belonging.

Recruitment source affects whose experiences you capture. A panel, cultural organisation, faith network or creator audience may each reach a different slice of the community. Combining sources can improve coverage, but does not automatically produce a representative sample.

Ghanaian British audiences vary by generation, faith, region, individual outlook and connection to Ghana. Include relevant variation without assuming every distinction requires its own reporting segment.

Ask your supplier to document:

• How participants were recruited and eligibility was checked.
• Which parts of the intended audience may be under-represented.
• How duplicate participation and poor-quality responses were addressed.
• Whether recruitment source is balanced across test groups.

A convenience sample can still inform a creative decision. It should not be presented as the definitive view of all Ghanaian British people.

Treat ethnicity data as a research responsibility

Personal data revealing racial or ethnic origin is special category data under UK GDPR. Processing it requires both an Article 6 lawful basis and an applicable Article 9 condition, alongside transparency, minimisation, security and other obligations.

Explicit consent can be relevant, but a tick-box is not a complete compliance plan. Agree the approach with your privacy team or research provider before recruitment. Participation must be genuinely voluntary where you rely on consent.

Collect only what the study needs. Keep participant-level identity information out of routine campaign dashboards and restrict access. Set retention periods and agree safeguards for small reporting cells, which can increase identification risk.

Consent to research is not automatic permission for advertising activation. Do not upload ethnicity-labelled participant lists to media platforms as an operational shortcut. Any proposed onward use needs separate legal and platform-policy assessment.

Build a comparison you can defend

Where feasible, randomly assign eligible participants to campaign and holdout groups before exposure. Randomisation reduces systematic differences between groups; it does not guarantee perfect balance in a small sample.

For live media, check whether your platform or research partner can support the intended design, lawful audience qualification and reliable assignment. Do not assume a standard platform lift product can isolate a Ghanaian British audience appropriately.

Measure outcomes on the same schedule using the same questionnaire. Record delivery problems and possible contamination: holdout participants may encounter the campaign through other channels or sharing.

Analyse people by their original assignment for the primary experimental comparison. Comparing only those who remember seeing the ad with those who do not introduces selection bias: attention and memory are related to existing interest.

If randomised live-media testing is impractical, a controlled survey experiment can compare reactions after assigned creative exposure. That measures response under research conditions, not the full effect of a real-world media campaign. A simple before-and-after survey is weaker still for causal attribution because other events can explain the change.

Ask one neutral primary question

Set the primary question and scoring rule before fieldwork. For example:

When you next buy [category], how likely are you to consider [brand]?

Use a balanced response scale. Predefine whether your main metric is, for example, the percentage choosing the top two positive options. Keep wording and scale identical across groups.

Ask the primary outcome before questions that explicitly prompt cultural relevance or campaign recall. Otherwise, the questionnaire itself can influence the answer.

Useful secondary measures include:

• Correct understanding of the product or offer.
• Trust in the brand.
• Perceived relevance of the creative.
• An open-text explanation of what felt convincing or uncomfortable.

Avoid leading prompts such as “How well did this authentic advert represent your community?” That wording assumes both authenticity and a shared view.

Read the result without inflating it

Suppose, purely illustratively, consideration is 35% in the campaign group and 30% in the holdout. The observed absolute lift is five percentage points, not 5%. Relative lift is approximately 16.7%, but the percentage-point difference is usually easier to interpret.

Report sample sizes and a suitable confidence interval alongside the estimate. Five points with substantial uncertainty is not the same evidence as five points measured precisely.

There is no universal minimum sample size. Plan around the baseline consideration rate, the smallest effect worth detecting, the design and desired statistical power. A research specialist should calculate requirements before recruitment.

Do not interpret a statistically inconclusive result as proof that the campaign had no effect. Equally, do not promote a favourable tiny subgroup into the headline. Treat unplanned subgroup findings as exploratory.

Practical checklist: approve the measurement plan

Before launch, confirm that you have:

• Defined audience eligibility without inferred ethnicity.
• Chosen the decision: campaign impact or adaptation value.
• Written one primary question and scoring rule.
• Set a commercially meaningful effect threshold.
• Checked sample feasibility and statistical power.
• Agreed assignment, exposure and contamination handling.
• Reviewed privacy notices, legal grounds and retention.
• Predefined exclusions, analysis and reporting safeguards.
• Scheduled the same survey timing across groups.
• Agreed how uncertain or negative results will be reported.

Turn findings into a bounded decision

Report the comparison tested, observed lift, uncertainty and study limitations together. Keep delivery metrics separate from brand outcomes, and do not convert consideration lift into sales or return on investment without additional evidence.

Use open-text feedback to develop the next creative hypothesis, not to manufacture numerical proof. If responses differ by generation or faith, investigate carefully rather than labelling an entire segment from a handful of comments.

Review cultural risk before launch

Measurement cannot make a harmful execution safe retrospectively. Before fieldwork or media launch, review language, pronunciation, imagery, humour, religious references and implied claims about belonging with people who bring varied relevant perspectives.

Kulture adapts ad copy, images and video for UK communities and runs cultural risk reviews. Resolve avoidable risks before testing, document changes, and ensure the final approved creative is the version whose performance you measure.