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The Mercury Analytics Workbench brings every data source — surveys, IDIs, focus groups, dial tests, media, message and image tests — into one unified AI powered environment. Instantly review crosstabs, open-end reports, or AskMercuryAI to generate the precise report you want. And our Research Assistant delivers evidence-backed insights in seconds. Amazing.

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Analytics Workbench 4.0 with MercuryAI
Ask MercuryAI Assistant
Project: 10162_01_Budweiser  ⚙
Audiences
Crosstabs
Open-Ends
Dial-Test
Visualization
MercuryAI
Weights
Settings
Help

Select Audience Definitions

Below you can define any number of audience segments that each represent a unique group of respondents, in order to see their aggregated responses to survey questions and moment to moment reactions to a tested video. For detailed help, click the Help tab above.

Audience Name
Color
Respondent Query
 Include all respondents (314)
Variables
010: QC_REGION
015: GENDER_What is your gender
020: QC_GENDER
030: QC_AGE
035: QC_AGE2
040: QC_GENERATION_2
045: RACE_Which of the following groups best
Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT)
Midwest (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI)
South (DE, DC, FL, GA, MD, NC, SC, VA, WV, AL, KY, MS, TN, AR, LA, OK, TX)
West (AZ, CO, ID, NM, MT, UT, NV, WY, AK, CA, HI, OR, WA)
Other U.S. Territory
Within
Audience Definitions
Audience NameColorDescriptionBase
ALLAll314
Baby Boomers'040: QC_GENERATION_2' = 'Baby Boomers (Born 1946-1964)'97
Gen X'040: QC_GENERATION_2' = 'Generation X (Born 1965-1980)'45
Millennials'040: QC_GENERATION_2' = 'Generation Y (Millennials) (Born 1981-1996)'109
Gen Z'040: QC_GENERATION_2' = 'Generation Z (Born 1997-2012)'55
ABCDE
ALLBaby BoomersGen XMillennialsGen Z
Base (314)Base (97)Base (45)Base (109)Base (55)
PercentPercentPercentPercentPercent
010: QC_REGION
Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT)19%23%18%16%22%
Midwest (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI)21%20%31%21%15%
E
South (DE, DC, FL, GA, MD, NC, SC, VA, WV, AL, KY, MS, TN, AR, LA, OK, TX)41%39%38%41%44%
West (AZ, CO, ID, NM, MT, UT, NV, WY, AK, CA, HI, OR, WA)19%19%13%22%20%
Other U.S. Territory0%0%0%0%0%
015: GENDER_What is your gender
Male71%67%64%
DDd
Female29%33%36%
DDd
I identify differently0%0%0%0%0%
020: QC_GENDER
Male71%67%64%
Female29%33%36%
DDd
030: QC_AGE
18-247%0%0%0%0%
25-2911%0%0%0%0%
30-3411%0%0%0%0%
35-398%0%0%38%0%
A
40-4414%0%0%0%0%
45-495%0%38%0%0%
A
50-544%0%31%0%0%
Research Assistant ×
...out ratings by both generation and gender simultaneously. Let me know if you'd like me to explore that in more depth.
Which commercial performed best overall among Gen X?
Looking at Generation X respondents overall, the commercial that received the highest percentage rating as "One of the best" was Budweiser, with 60% of Gen X respondents giving it that top rating. Michelob followed at 20%, and Xfinity at 15.6%. So, Budweiser performed best overall among Gen X.
Which commercial performed the worst among Gen X?
Among Gen X respondents, we can consider the "worst" commercial as the one that had the highest share of people rating it as "One of the worst." In the data, Instacart stands out with about 11.1% of Gen X respondents rating it as "One of the worst," which is higher than any other commercial in that generation. So, Instacart performed the worst among Gen X by that measure.
Ask a question...
Mode Graphed ON Average Momentum OFF Hot Buttons OFF ON Zoom Transcript OFF
86 82 77 68 58 53 49
EXCELLENT COMMERCIAL
TERRIBLE COMMERCIAL
Dial test — audience reaction lines over Budweiser commercial
Average Ratings
0:00 / 1:00🔊
for from to
Color Audience Name Show Line
All|None
Base Size Overall Avg Current Rating Standard Deviation Final Rating Avg to Moment Avg From Moment MOE 95% MOE 90% Histogram
ALL 31276.050.00.0 81.650.076.05%6%
Baby Boomers 9777.350.00.0 81.750.077.38%10%
Gen X 4476.850.00.0 83.450.076.812%15%
Millennials 10875.650.00.0 82.450.075.68%9%
Gen Z 5574.250.00.0 78.550.074.211%13%
ALL
Baby Boomers
Gen X
Millennials
Gen Z
Open End Analysis Analyze open ends in various in-depth ways or code open end responses
Analyze MIQs
96 🔒 2/7/2026, 4:50:10 PM All 565: Budweiser_WHYB_What is it about the commercial that makes it "[one of... Main Themes and Best Quotes
1. Lack of Clarity or Connection to Product: Several respondents criticized the commercial for not clearly showing what it was advertising, or lacking a clear connection between the content and Budweiser. Viewers felt the purpose or relevance of the animals and storyline to beer or the Budweiser brand was not evident.
  • I just simply couldn't tell what the commercial was for."
  • What does that have to do with beer?"
  • I did not understand the connection between the eagle and horse."
  • it was about Budweiser, and didn't show what was about until the end"
2. Unbelievability or Far-fetched Premise: Many viewers described the commercial's plot or premise as unrealistic, far-fetched, or unbelievable. The use of animals behaving in improbable ways was seen as straining credibility.
  • It's a ridiculous premise."
  • It was far fetched and unbelievable."
  • The ad seemed a bit unbelievable."
  • There is no way a horse can take care of a baby bird in all that rain"
3. Negative Comparisons to Past Commercials or Brand Expectations: Respondents compared the ad unfavorably to previous Budweiser commercials or expressed disappointment based on their expectations from the brand. They felt the new approach did not live up to the positive reputation of past work.
  • I expect better from Bud. The horse is beautiful. The bird doesn't fit. And who picked an old ass don't they I was such of as teenager when disc jockeys used it for a bathroom break? Great past commercials, but this is a miss. Stick with the horses and puppies."
4. Dislike of Use of Animals: A segment of respondents expressed a general dislike for the use of animals in advertising, or questioned the choice of animals in this particular commercial.
95 🔒2/7/2026, 4:49:12 PMAll560: TURBOTAX_WHYG_What is it about the commercial that makes it "[one ...Main Themes and Best Quotes
94 🔒2/7/2026, 4:48:54 PMAll555: PRINGLES_WHYG_What is it about the commercial that makes it "[one o...Main Themes and Best Quotes
93 🔒2/7/2026, 4:48:38 PMAll550: XFINITY_WHYG_What is it about the commercial that makes it "[one of t...Main Themes and Best Quotes
92 🔒2/7/2026, 4:48:29 PMAll545: Grubhub_WHYG_What is it about the commercial that makes it "[one of t...Main Themes and Best Quotes
91 🔒2/7/2026, 4:48:20 PMAll540: Instacart_WHYG_What is it about the commercial that makes it "[one of t...Main Themes and Best Quotes
90 🔒2/7/2026, 4:48:10 PMAll535: Michelob_WHYG_What is it about the commercial that makes it "{#loop_...Main Themes and Best Quotes
Qual At Scale AnalysisGenerate deep-insight IDI-style reports at scale
Project AnalysisGenerate project level reports based on project quant data and MercuryAI analyses
M2M Dial Test AnalysisExpose findings and overall learning from M2M Dial Tests
Media AnalysisAnalyze and report on dial tests, text message tests and Spotlight image tests

Compare Any Audiences,

Instantly

Define any audience segments and compare findings quantitatively, qualitatively, or analyze responses using MercuryAI in moments. Update your cross-tab segments in seconds and instantly review or download results. No waiting for the analyst to rerun the data. The Workbench updates every chart, theme, and verbatim the moment you change the filter.

  • Filter by any survey variable — demos, psychographics, behavior

  • Side-by-side segment comparison for any finding

  • AI-generated narrative describing what drives segment differences

  • Export any segment view as a report-ready chart or table

.

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Mercury Analytics — MercuryAI Workbench Walkthrough (Divi-Ready)
MercuryAI Workbench Walkthrough
From a question to an evidence-backed report.
See how the MercuryAI Workbench unifies surveys, dial tests, IDIs and open-ends — and turns plain-language questions into instant, defensible answers.
Step 1 of 4
Pick the audience segment you want MercuryAI to analyze.
Analytics Workbench 4.0 with MercuryAI · Project_AdTest_2026
Audiences Crosstabs Open-Ends Dial-Test MercuryAI Weights
ALL
Boomers
Gen X
Millennials
Gen Z
Analysis Type
Ask MercuryAI
IDDateAudienceType
1282/26AllThemes
1272/26AllM2M
1262/12AllSummary
1252/12Gen ZSummary
1242/12MillennialsSummary
Workbench · Ask MercuryAI
Audiences Crosstabs MercuryAI
Ask MercuryAI
Based on all survey data and MercuryAI analyses for selected audiences, what would you like to know?
Length: 3 paragraphs
Ask MercuryAI · Generated answer · 2.3s
Ask MercuryAI
Which ad in our test drove the strongest emotional response across all generations?
Brand A's commercial stood out as the most effective ad in the test for eliciting strong emotions. MercuryAI analysis of survey responses and open-ended feedback from the ALL audience segment found participants consistently described the ad's story as “heartwarming,” “touching,” and “adorable” — centered on an emotionally resonant character relationship.

Quantitatively, 32.2% of post-interview responses described feeling emotionally moved, inspired, touched, or connected. The ad achieved a top-2-box rating from 85.7% of respondents — broad and strong emotional resonance.

The combination of heartfelt storytelling, evocative symbolism, high production values, and memorable music positioned Brand A's spot as the ad most likely to spark a meaningful emotional reaction.
MercuryAI · Saved analysis
Saved as analysis 131 · ready to export, share, or build into a report
IDDateNotesType
1314/30Emotional resonance — Brand AAsk MA
1122/7All audiencesAsk MA
792/7All audiencesAsk MA
742/6Outcome predictions analysisAsk MA
MercuryAI · Choose analysis type
ALL
Boomers
Gen X
Millennials
Gen Z
Ask MercuryAI Report
Topline Analysis
Research Report
Custom Research Report
Custom Topline Analysis
Ask MercuryAI Report
Generates a multi-section report grounded in your survey data and prior MercuryAI analyses — written in the voice you choose, for the audience you specify.
Ask MercuryAI Report · Configure sections
Describe the report you want, section by section.
1Sample Profile and Audience Segmentation · describe the composition of the research sample2 ¶+
2Emotional Storytelling Drives Top-Performer Success · main findings from the dial test3 ¶+
3Points of Friction · synthesize key criticisms and negative reactions2 ¶+
4Generational Contrasts · how Gen Z, Millennials, Gen X, and Boomers responded2 ¶+
+Add another section…
Voice
Research Analyst
Audience
Research Teams
Generated report · Project_AdTest_2026
Better insights · Better decisions
AnalysisAsk MercuryAI Report
AudienceAll (1,011 participants)
Sections11 + appendix
Emotional storytelling drives top-performer success
Brand A's commercial emerged as the top-rated ad in the study, earning an 85.7% Top-2-Box rating (51.6% One of the best / 34.1% Good), well above every other commercial tested — including Brand C at 80% and Brand B at 83% among comparable subsamples. The dial-test data reveals a rapid and sustained upward trajectory across all generational segments…
Download report · Distribute to stakeholders
Report ready · 10 pages · 4 charts · every claim traced to source data
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From idea to deliverable in under a minute. You picked an audience, described the report you wanted in plain language, and MercuryAI synthesized survey data, dial-test scores, and open-end themes into an evidence-backed deliverable — every claim traced to its source.
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Unified Sources

Every data type — quant, qual, media testing — in one analysis environment. No spreadsheet wrangling, no manual synthesis.

Cited & Structured

Every finding includes source citations — survey N, specific verbatims, dial test timestamps — so you know exactly where each insight came from.

Instant Segment Cuts

Filter any finding by any audience variable in real time. Compare segments side by side. Export report-ready visualizations in one click.

The Mercury Analytics Difference

Before: Data Lives Everywhere

Quantitative survey data in one tool. Focus group videos and data in another. Dial test videos in another system. IDI recordings scattered across email threads. A skilled analyst spends days pulling it all together — and still produces a report that's already three days old.

After: Everything in One Place

Every data source connected to the Workbench the moment it's collected. Ask MercuryAI synthesizes across all of them simultaneously — generating themed, evidence-backed insights with direct source citations, in minutes.

The Real Cost

Most research organizations spend 60–80% of their analysis budget on data wrangling and formatting — not on actual insight generation. The Workbench flips that ratio.

The Mercury Difference

Average time from final survey response to structured AI report: 3 minutes. Average time from question to cross-source synthesis: seconds.

Try It Yourself

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Try the Analytics Workbench for free. Upload an existing survey dataset or meeting video(s) — and we'll walk you through what Ask MercuryAI surfaces in real time.