Flower Shop Picks Popular Arrangements

Intro: Google Poll Made Us Stock Flowers No One Bought

As the owner of a flower shop in Seattle, we want our shelves to be full of arrangements customers love—but google survey was making us waste money. We asked “What flowers do you like?” and got “roses”—no details on color or arrangement style. A google poll for “Favorite Occasion Arrangement” missed “get-well soon” (a top seller we understocked). We bought 100 red rose bouquets for Valentine’s Day—only 40 sold—because we didn’t know customers wanted “mixed rose and lily arrangements.” Then we found SurveyMars’ free survey maker, and now we stock exactly what customers want.

Why Google Survey Fails for Flower Shops

Google Poll Is Too Vague for “Arrangement Details”

Customers care about more than just flower type: Do they want “a bouquet” or “a vase arrangement”? Red roses or pink? Google poll only lets you ask broad questions, so we missed those details. We made “sunflower bouquets” based on google survey feedback—but customers wanted “sunflowers with baby’s breath in a mason jar” (we added the jars, and sales tripled).

Free Survey Tools Don’t Capture “Occasion Needs”

Flowers are for specific moments—birthdays, funerals, “just because.” But google survey didn’t let us ask “What occasions do you buy flowers for most?” We understocked “sympathy arrangements” last month—we had 5, but needed 15—because we didn’t know there was high demand.

SurveyMars: AI Questionnaires for Flower Shops

AI Builds Arrangement-Focused Surveys Fast

I typed “Flower Shop Customer Feedback” into SurveyMars’ survey maker, added a prompt (“Ask about favorite flowers, arrangement styles, and occasions”), and picked 8 questions. The AI generated a questionnaire with a voting poll for “Favorite arrangement style (bouquet, vase, basket)” and open-ended questions like “What flowers do you want for a ‘thank you’ gift?” It even asked about “price range”—so we learned customers love $30-$50 arrangements.

In-Store & Online Feedback = Full Picture

Unlike google survey, we share the survey both in-store (QR codes on flower buckets) and online (via email and Instagram). Local customers scan it while picking out flowers, and online shoppers fill it out after ordering. Response rate hit 78%, and we get feedback from both groups.

Flower Sales Jumped 40%—We’re Selling Out

The survey, paired with Kano analysis helped us separate “must-haves” from “nice-to-haves”: 70% of customers wanting “mixed flower vases” was flagged as a “must-have” (they’d pass on single-type bouquets without it), while add-ons like “custom ribbon” ranked as a “delighter” (nice but not a dealbreaker). This clarity kept us from overstocking low-priority items—like neon-colored roses—that Kano data showed few customers wanted.

We also used Kano to confirm 60% of customers buying flowers for “birthdays” wasn’t just a trend, but a core need—so we added a “birthday bundle” with a small gift. For Valentine’s Day this year, we stocked “rose-lily mixed arrangements” (a Kano-identified “must-have” for the holiday)—they sold out 2 days early, and we had to restock. Google poll never would’ve helped us nail that.

Flower Shops—Try SurveyMars for Free

If you’re wasting money on unsold flowers because google survey gives vague feedback, SurveyMars’ survey maker is your fix. Build free voting polls or questionnaires to stock what customers want.