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Your subscribers already buy from you. Now ask them why.

Your order data shows what subscribers buy, how often, and when they stop. Vantage invites them onto a panel you own and asks them why. Every answer is kept on their profile, so each survey is worth more than the last.Your order data shows what subscribers do. Vantage asks them why, and keeps every answer.

  • Create 6 types of survey
  • Recruit beyond your current list
  • Control who joins the panel
  • Reward members for taking part
  • Track your category monthly
  • Spot emerging trends
  • Find what drives your scores
  • See change over time

Built for direct-to-consumer food and drink brands.

Your order data says what. Your panel says why.

Order data tells you that a subscriber cancelled, that a flavour sold out, that the bigger pack stalled. It can't tell you why. A panel of your own subscribers can, and every answer stays on their profile for the next question.Order data tells you what happened. Your own subscribers can tell you why.

One-off studies

A clear read at the time. The next study starts again.

Study 1Study 2Study 3

Your own panel

Every survey stacks on the last. Answers stay linked to each member's profile.

Survey 1Survey 2Survey 3

Questions your order data can't answer

  • Why churned subscribers left, in their own words
  • Which new flavour to launch next
  • What price the bigger pack can carry
  • Why some first orders never become a second

Run it yourself, or hand it to us.

Self-serve

We set up your panel, your welcome survey and the connection to your email platform. From there your team writes the surveys, sends them and reads the answers in Vantage.

Best if you have someone in-house who already owns insight or CRM.

Managed by Vantage

We run everything. Panel recruitment, survey design, the monthly tracker, the analysis and a written read-out each month. You go straight to the answers.

Best if you want the data without adding a job to anyone's week.

You know what they buy. You don't know why.

DTC brands have the biggest, warmest lists in food and drink, and more behavioural data than anyone. Orders, repeat rates, churn. None of it explains why. Vantage invites your subscribers onto a panel, gives each one a profile, and lets you ask them anything. It sits alongside your shop and your email platform, so nothing about your set-up changes.You have the warmest list and all the order data. Vantage adds the why, alongside your shop and email platform.

Example
  • 25,000subscribers on the list
  • 3,000join the panel
  • 12surveys a year, every answer on one profile

See it at work

Because the answers are already there, most questions don't need a new survey. They need a good way in.Most questions don't need a new survey, just a good way in.

Ask Vantage, in plain English

It answers from everything your members have already said, and tells you how many people the answer rests on.

Why are two-person households buying less often?
Mostly pack size, then price. 31% of two-person households who've bought less in the last three months mention pack size, against 12% of everyone else. Price comes up for 19%.
Based on 412 membersReliable

Trend spotter catches what's rising

Themes from open comments, checked every night.

Packs feel smaller

Rising
37.8%
+11.8 pts
of comments in the last 7 days, up from 26.0% A real rise, not chance (95% confidence, 151 comments this week).

“Same price, noticeably less in the pack.”

The monthly tracker shows the category moving

The same panel answers every month, so you see more than which brands are up or down. You see how buyers are moving between brands across the whole category, and you can look at any group in more detail if you want to.The same panel answers every month, so you see how buyers move between brands, not just which brands are up or down.

Bought in the last month

Example data
Share of category buyers, month by month
  • Your brand26%Real rise
  • Own-label29%
  • Brand A23%
  • Brand B14%

How buyers moved since April

Example data
Share of buyers who answered in both months, by their main brand then and now. Everyone stays anonymous.
64% kept the same main brand29% switched
  • Brand AOwn-label9%
  • Brand AYour brand7%
  • Brand BYour brand4%
  • Your brandOwn-label3%

Only possible because the same panel answers every month. One-off studies ask different people each time, so they can compare totals but not the movement between brands.

Explore cuts any answer by any other

Across every survey your panel has answered. Pick a starting point.

Base
2,448
panel members
Robust

Rates the bestseller 9 or 10

Share of buyers, by region

    Predict what moves the score

    Pick the number you care about. Vantage finds what drives it, and who in your panel is most likely to love something new.Find what drives a score, and who will love something new.

    The model explains 41% of the variation in likelihood to recommend, tested on members it had not seen.

    What moves likelihood to recommend

    Longer bars matter more. Raises it Lowers it Faded bars could be chance.

    • Satisfaction with the last purchase9.0 vs 7.6 average likelihood to recommend (+1.5)
    • Thinks packs have got smaller6.9 vs 8.3 (−0.9)
    • Buys weekly or more8.6 vs 7.9 (+0.6)
    • Shops mainly onlineCould be chance

    Ask your subscribers why.

    Tell us a little about your brand and your list. We'll set up a demo panel around your categories and show you what a year of answers looks like.

    Book a demo

    Do you have a marketing email database? optional
    Roughly how many people are on it? optional