How ConsumerXM Works· Private Beta

How ConsumerXM turns survey data into marketing decisions

Follow the workflow from structured survey data to private dashboards, statistical evidence, and grower-side action.

How It Works

01
Custom survey data is parsed for structured analysis

Representative survey samples are structured for analysis at the national or state level.

Key
Respondent
Segment
Age group
Category
Color preference
Scale 1–5
Purchase intent
R-004125–34
White
4/5
R-008945–54
Pink / Magenta
3/5
R-015735–44
White
5/5
R-020365–74
Purple / Lavender
2/5
R-031825–34
Pink / Magenta
4/5
R-036435–44
White
5/5
R-039645–54
Pink / Magenta
4/5
R-041255–64
Purple / Lavender
3/5
02
Exploratory insight surfaces across multiple views
Separate broad market demand from niche audience pull.
White
35.1% average across selected groups
Broad
Pink / Magenta
16.5% average across selected groups
Focused
Purple / Lavender
16.0% average across selected groups
Focused
Yellow
12.4% average across selected groups
Focused
Green
9.8% average across selected groups
Focused
Review which occasions show stronger purchase intent for gifting.
01
Mother's Day
34%
02
Valentine's Day
31%
03
Birthday
28%
04
Anniversary
22%
05
Just Because
18%
03
segment differences are tested for statistical significance and labeled

Preference distributions are compared across audience and differences are tested for statistical significance before surfacing as an insight.

ColorMillennialsGen XBaby Boomers
White
31%37%42%
Pink / Magenta
22%16%10%
Purple / Lavender
18%15%12%
Yellow
12%11%9%
Green
9%8%7%
04
Analysis translates into grower marketing direction

Across color, purchase intent, gifting occasions, and product presentation, several consistent patterns emerge.

Balancing broad-demand and segment-driven colors

Some colors show consistent appeal across all buyer groups, while others are concentrated within specific segments. This distinction helps separate volume-driving varieties from those better suited for targeted offerings.

Aligning with purchase occasions and intent

Gifting intent varies across occasions and does not translate uniformly into purchase likelihood. Identifying where intent and likelihood align helps prioritize timing and promotional focus.

Adapting product presentation to the buyer

The relative importance of plant attributes versus container styling differs across buyer groups. This enables more targeted decisions around product design, packaging, and positioning.

ConsumerXM surfaces preference patterns that typical sales reporting does not capture.

Common questions

Questions about the data, methodology, or access — answered here.