Claims about female consumer behaviour often rest on thin evidence, so test personalisation, wellness and representation against your own market first.
Articles on female consumer trends tend to repeat the same claims. Women want personalisation, prioritise wellness, and expect brands to represent them. Each claim may be true in some markets, but none of them is an automatic basis for a decision.
Women are also not one segment. Age, income, life stage, country and category all shape what someone wants. A useful question is therefore narrower: what is changing among the women you serve, in your category?
Here we look at three common claims, what the evidence shows, and how to test each one.
Claim 1: women want personalisation and exclusivity
This claim draws on general evidence about personalisation. In a 2017 online survey of 1,000 consumers, 90% found personalisation appealing. Some 80% said they were more likely to do business with a company offering personalised experiences.
Note what this does and does not say. The published release reports no split by gender, so it says nothing specific about women. It also measures stated attitude, and it dates from 2017.
Before you invest in loyalty programmes or exclusive communities, test the idea with these questions:
- Do your female customers respond differently from other customers to personalised offers?
- Which kind of personalisation matters: product, content, service or price?
- Does a members-only offer attract new buyers, or does it mainly reward existing ones?
Your own data can answer much of this, since a simple test compares response and repeat purchase. That is stronger evidence than a general survey.
Claim 2: health and wellness are a top priority
This claim usually extends beyond physical health to mental wellbeing and self-care. Brands then consider wellness-focused products or digital services. We could not verify that women drive this growth, so treat that part as a hypothesis.
Break the broad theme down, because "wellness" is too wide to act on. It can mean sleep, nutrition, fitness or stress. Each has its own demand, its own competitors and its own products.
For illustration, a food brand could ask three questions about a wellness range:
- Which specific need is gaining demand: protein, gut health or lower sugar?
- Is that need growing faster than the category, or just with it?
- Who buys now, and does that differ from who you assumed would buy?
Only the last question needs information about who the buyers are. The first two are about how demand develops.
Claim 3: women expect diverse representation
This claim holds that authentic and inclusive marketing builds connection and loyalty. Statistics on this circulate widely, often without clear methods or context. Treat them with care.
That does not make the question unimportant. It means you should test it with your own audience. Showing the real diversity of your customers can also simply be more accurate and more relatable.
- Run qualitative research with women in your target group on how they see your current campaigns.
- Test different creative with comparable audiences, and judge the result on measurable response.
- Compare your campaign imagery with the actual profile of your customer base.
Which source tells you what
These questions need several sources, and it helps to be clear about what each one can show.
- Market research and panels can report by gender and explore motivations, for the questions you ask.
- Internal performance data shows how women who are already your customers behave, if your data records it.
- Retail and sales data shows realised sales by channel or product.
- Social listening shows conversations and sentiment around brands and topics.
Demand data has a specific limit here. Aggregated signals show how demand for needs and products develops, but not who is behind them.
Trendata uses aggregated demand signals only, with no personal data. So it cannot tell you what women in particular want.
What it can show is whether a need linked to your target group is gaining demand in a market. Research can then establish who holds that need, and why.
What this means for your next decision
If you are planning a range, campaign or position aimed at women, write down the assumption behind it. Then find evidence from your own market, with a clear date and method.
A trend article can be a starting point for that work. It should not be the reason you move people or budget. Once the assumption has been tested, you can commit with more confidence.
