Shared research study link

Plant Protein Shake Consumer Perception

Understand what drives purchase of plant-based protein shakes and powders

Study Overview Updated Jan 13, 2026

Research question: What drives purchase of plant-based protein shakes/powders-specifically, how “organic/plant-based” labels land, which factors (taste, ingredients, price, convenience) ultimately decide the buy, and whether a doctor-founded backstory increases trust.
Who: 6 U.S. shoppers (ages 25–48) across OH/FL/TX-stay-at-home parents, a civil engineer, a graduate student, and a baker; English- and Spanish-speaking.
What they said: “Organic/plant-based” sparks mild curiosity but stronger skepticism on taste/texture and price; conversion is evidence-led (sip test, protein-per-dollar math, low bloating, easy availability), and a doctor-founder story offers only a small, short-lived trust bump versus taste, value, and verifiable transparency (COAs, amino profile).

Main insights: Taste/texture is the gatekeeper; clear value math and digestive tolerance drive repeat; short, transparent ingredient lists (avoid stevia/gums) build baseline trust; sampling/RTD singles and in-store presence reduce friction; segments diverge (price-sensitive Spanish-speaking buyers want local, low-cost trial; performance buyers demand protein density and third-party testing).
Clear takeaways: Lead with sensory performance and on-pack price-per-20g; publish lot-level COAs and full amino profiles; de-risk trial with sachets, RTD singles, demos, and easy returns; use coupons/TPR to hit ~$1/serving powder and <$2 RTD; offer bilingual materials; keep the founder story as context, not the pitch.

Participant Snapshots

Stack all

6 profiles

Jennifer Higgins

Jennifer Higgins, 34, is a Catholic stay-at-home mom of four in Hesperia, CA. Practical, community-minded, and budget-savvy, she favors durable, time-saving solutions, straightforward messaging, and everyday joys under the High Desert sun.

Amanda Velasquez

Amanda Velasquez, 43, a bilingual single mom in Arlington, TX, juggles full-time cafe work, tight budgets, and raising two kids. Practical, warm, and community-minded, she values transparency, Spanish support, and time-saving, affordable solutions.

Jaylan Sherman

Jaylan Sherman, a 25-year-old structural engineer in Columbus city prioritizing skill growth, durable purchases, and time efficiency. Bikes to work, climbs, meal preps, and saves aggressively. Pragmatic Catholic, community-minded, and data-driven in choices…

Andrea Lucas

Chattanooga-based 48-year-old curriculum coordinator, Andrea Lucas, married with one middle-schooler. E-bikes to work, pescatarian, outdoorsy, evidence-driven, and community-oriented. Practical buyer focused on durability, time savings, privacy, and equity…

Shaneque Guevara

Marisol Cabrera, 30, is a Spanish-speaking single mom of two in rural Florida. She shares rent with family, relies on cash, no internet, and community support. Practical, faithful, and thrifty, she prioritizes trust, children, and simplicity.

Brittany Bedell

A Cincinnati-based former teacher, Brittany Bedell is on a purposeful pause to upskill while living modestly on her spouse’s income. She values practicality, community, and durability, and makes decisions through a filter of function, ethics, and low friction.

Jennifer Higgins

Amanda Velasquez

Jaylan Sherman

Andrea Lucas

Shaneque Guevara

Brittany Bedell

Overview 0 participants

Sex / Gender

Race / Ethnicity

Locale (Top)

Occupations (Top)

Demographic Overview No agents selected

Age bucket	Male count	Female count

Participant locations No agents selected

Participant Incomes US benchmark scaled to group size

Income bucket	Participants	US households

Source: U.S. Census Bureau, 2022 ACS 1-year (Table B19001; >$200k evenly distributed for comparison)

Media Ingestion

Connections appear when personas follow many of the same sources, highlighting overlapping media diets.

Questions and Responses

Stack all

3 questions

Response Summaries

Stack all

3 questions

Word Cloud

Persona Correlations

Overview

Purchase of plant-based protein shakes/powders is driven first by sensory performance (taste, texture, mixability) and second by clear value math (cost per serving / protein density) and digestive outcomes (tolerance, satiety). Demographics shape how those drivers are weighted: lower-income, Spanish-speaking caregivers prioritize low out-of-pocket cost, in-person trial and word-of-mouth; younger, high-income performance buyers demand quantitative proof (protein density, COAs) and will default to whey if plant formats don't meet targets; mid-income caregivers prioritize convenience and reliability for daily routines; older, educated buyers use transparency and sustainability as tiebreakers and will pay a premium if provenance and third-party testing are present. Across groups, short ingredient lists, sample/RTD availability, and claims around 'gentle on stomach' consistently reduce adoption friction.

Total responses: 18

Key Segments

Segment	Attributes	Insight	Supporting Agents
Lower-income, Spanish-speaking caregivers (rural / working-class)	age range 30–43 language Spanish occupation Stay-at-Home Parent / Baker income bracket $10–74k locale Rural / small-city (FL, TX)	Highly price-sensitive and pragmatic: brand stories or organic claims do little without low cost-per-serving, pleasant taste, and accessible in-person purchase. Put strong weight on neighbor/family recommendation and in-aisle sampling; default back to whole foods if product fails sensorially or economically.	Shaneque Guevara, Amanda Velasquez
Stay-at-home parents / caregivers (English-speaking, mid-income)	age range 30–35 occupation Stay-at-Home Parent household Family with children income bracket $100–149k (reported)	Routine-driven buyers who prioritize convenience (mixability, shaker-friendliness) and satiety during busy mornings. Will try single-serve RTDs but avoid subscriptions until product proves reliable and consistent in taste/texture.	Jennifer Higgins, Shaneque Guevara
Young, higher-income, performance-minded professionals	age range 25 occupation Civil Engineer income bracket $150–199k locale Mid-size city	Optimization-focused: evaluate products quantitatively (protein density, calories/protein, cost per 20g) and expect lab-level evidence (COAs, amino-acid detail). Very sensitive to mixability and protein efficacy; likely to stick with whey/isolate unless plant options demonstrably match performance.	Jaylan Sherman
Older, educated, mid/upper-income buyers	age range 45–48 education Graduate occupation Teacher income bracket $150–199k	Places disproportionate weight on ingredient transparency, third-party testing and provenance. Willing to pay a premium when taste is acceptable and evidence (COAs, traceability) and sustainable packaging are present - sustainability often a tiebreaker rather than primary motivator.	Andrea Lucas
College-age / graduate-student discretionary shoppers	age range 29 occupation Graduate Student shopping behavior In-store comparison, coupon-sensitivity	Quick in-aisle decision makers: taste and texture are decisive, they run fast cost comparisons and are coupon/price sensitive. Distrustful of subscription-first models and attentive to marketing claims - need clear sensory proof to convert.	Brittany Bedell

Shared Mindsets

Trait	Signal	Agents
Taste & texture as a decisive gatekeeper	Across ages, incomes and contexts, an unpleasant texture (chalky, gritty) or common sweetener aftertastes (stevia) are the most-cited reasons for non-repeat purchase; many consumers hide or repurpose unused powder rather than reuse it as a drink.	Brittany Bedell, Jennifer Higgins, Amanda Velasquez, Shaneque Guevara, Andrea Lucas, Jaylan Sherman
Value math (cost per protein) guides consideration	Most respondents use quick heuristics (e.g., cost per serving or per 20g protein) to judge whether a plant protein premium is justified; 'vibe tax' skepticism emerges when price is not matched by sensory or performance benefits.	Amanda Velasquez, Jaylan Sherman, Brittany Bedell, Jennifer Higgins, Shaneque Guevara
Digestive tolerance and satiety matter more than certifications	'Gentle on stomach' and real satiety (keeps me full) are stronger repeat-purchase drivers than organic / founder-story claims for many consumers.	Jennifer Higgins, Andrea Lucas, Jaylan Sherman, Amanda Velasquez, Brittany Bedell
Preference for short, transparent ingredient lists	Consumers avoid long ingredient decks with gums, proprietary blends or heavy-use sweeteners; readable, minimal ingredient lists reduce perceived risk.	Andrea Lucas, Brittany Bedell, Jaylan Sherman, Amanda Velasquez
Sampling and visible in-store availability reduce adoption friction	Single-serve samples, RTDs and in-aisle presence materially increase trial and reduce resistance to trying an unfamiliar plant protein.	Shaneque Guevara, Jennifer Higgins, Brittany Bedell, Amanda Velasquez
Skepticism of narrative-only credibility	Founder stories or 'doctor-founded' claims deliver little conversion power without sensory proof or verifiable testing; consumers want data or tasting to justify premium.	Amanda Velasquez, Jaylan Sherman, Brittany Bedell, Jennifer Higgins, Andrea Lucas, Shaneque Guevara

Divergences

Segment	Contrast	Agents
Lower-income, Spanish-speaking caregivers	Prioritize immediate low out-of-pocket cost and in-person validation; less influenced by provenance/sustainability claims and highly unlikely to adopt subscription/online-first models.	Shaneque Guevara, Amanda Velasquez
Young, high-income performance-minded buyers	Require quantitative proof (protein density, COAs) and prioritize performance over sustainability or brand story; more willing to pay only if plant format demonstrably equals whey on metrics.	Jaylan Sherman
Older, educated buyers	Place premium value on traceability, third-party testing and recyclable packaging - sustainability and provenance can override moderate price sensitivity when taste and evidence align.	Andrea Lucas
Stay-at-home parents (mid-income)	Emphasize convenience and predictable daily performance (mixability, satiety) and are wary of subscription commitments until product reliability is proven, contrasting with performance shoppers who will make a one-time premium purchase if numbers check out.	Jennifer Higgins, Shaneque Guevara

Recommendations & Next Steps

Overview

What will convert skeptics is not the 'organic/plant-based' label but proof it drinks well, sits well, and pencils out. Focus on fixing the taste/texture objections, making the value math obvious, and de-risking trial.

Taste/texture gatekeeper: eliminate chalk/grit and the stevia aftertaste; pass the shaker test with water or milk.
Value math: spotlight cost per 20g protein and protein density; avoid the perceived 'vibe tax.'
Digestive tolerance & satiety: message 'gentle on stomach' with evidence; track and reduce bloat complaints.
Transparency: short, readable ingredients; publish lot-level COAs and amino profile.
Low-risk trial: single-serve sachets/RTDs, strong promos, easy returns; demos in mainstream grocery.
Founder story: keep it supportive, not central; evidence and a good first sip matter more.

Quick Wins (next 2–4 weeks)

#	Action	Why	Owner	Effort	Impact
1	Add clear value math on PDP and packaging	Shoppers judge on cost per 20g protein and protein density; making this explicit fights the perceived 'vibe tax' and speeds decisions.	Growth Marketing	Low	High
2	Publish lot-level COAs and amino profiles with on-pack QR	Third-party verification earns trust with optimization-minded buyers and reduces 'doctor-story-only' skepticism.	QA/Regulatory	Low	High
3	Introduce a taste guarantee and small trial bundle online	De-risks first purchase for consumers burned by chalky/stevia-heavy products; aligns to 'low-risk trial' demand.	Ecommerce	Low	Med
4	Shaker test micro-video and mix tips	Proves smooth mixability in 15 seconds and addresses the top gatekeeper: texture/grit.	Brand/Comms	Low	Med
5	Bilingual (EN/ES) PDP, inserts and demo scripts	Spanish-speaking buyers prioritize in-person clarity and community validation; language access increases trial.	Brand/Comms	Low	Med
6	Targeted coupons to hit price thresholds	Trial is opened by deals: aim for ~$1/serving powder and <$2 RTD with Ibotta/TPR to unlock consideration.	Sales/Trade Marketing	Low	High

Initiatives (30–90 days)

#	Initiative	Description	Owner	Timeline	Dependencies
1	Sensory Reformulation v2 (smooth mouthfeel, lighter sweetness)	Reduce chalk/grit and remove the lingering stevia note. Validate with blinded panels against whey and leading plant SKUs. Add 'unsweetened' and 'lightly sweetened' variants and optimize mixability for shaker use.	R&D	0–3 months: bench optimization and AB sensory; 3–6 months: pilot runs and market test	Flavor house and sweetener system sourcing, Pilot plant capacity, Consumer sensory panel recruitment
2	Trial Engine: Sachets, RTD singles, demos	Launch single-serve sachets and select RTD singles with an easy return policy. Run in-aisle demos at mainstream grocers, plus community sampling with bilingual ambassadors.	Retail/Field Marketing	2–5 months pilot in top 3 retailers; 6–9 months scale	Artwork and packaging suppliers, Retailer approvals/slotting, Field staffing and demo scheduling
3	Pricing & Pack Architecture	Align COGS, trade spend and pack sizes to achieve clear price-per-20g targets. Create 'starter' small bag and value tub tiers; plan Ibotta/TPR cadence tied to velocity goals.	Finance/Pricing	1–2 months analysis; 3–4 months rollout	COGS breakdown by formula, Trade budget and retailer terms, Demand forecast and elasticity modeling
4	Radical Transparency Hub	Publish per-lot COAs (incl. heavy metals) and full amino profiles; add sourcing notes and plain-English ingredient rationale. Link via on-pack QR.	QA/Regulatory	1–3 months MVP hub; ongoing updates per lot	Third-party lab SLAs, CMS updates and QR printing, Legal review of claims language
5	Inclusive Comms & Community Proof	Bilingual packaging touchpoints, EN/ES PDPs, and neighborhood tastings. Incentivize word-of-mouth via referral coupons; feature authentic community testimonials over 'white-coat' creative.	Brand/Comms	2–4 months initial rollout; ongoing content	Translation and cultural review, Ambassador program setup, UGC rights management
6	Taste, Tolerance and Repeat Analytics	Instrument post-purchase surveys for taste/mixability NPS, track digestive complaint rate, and measure sample-to-repeat conversion. Wire to SKU-, flavor- and retailer-level dashboards.	Data/Analytics	1–2 months instrumentation; 3+ months ongoing optimization	Survey tooling and CX integration, DTC and retail data feeds, Attribution model for coupons/demos

KPIs to Track

#	KPI	Definition	Target	Frequency
1	Trial-to-Repeat Conversion (60 days)	Percent of first-time buyers who make a second purchase within 60 days (by channel and flavor).	>= 35% overall; >= 40% for demo-driven trials	Monthly
2	Taste/Mixability NPS	Net promoter score on first-use survey focused on flavor and shaker performance.	>= +50	Monthly
3	Digestive Complaint Rate	Customer-reported bloat/gut issues per 1,000 units sold, by SKU.	< 5 per 1,000	Monthly
4	Cost per Acquired Trial (CPAT)	All-in cost to drive a first trial via coupons, demos, or sachets.	<= $2.00 per trial	Monthly
5	COA Coverage & Engagement	Percent of lots with published COAs and CTR from QR/PDP to COA pages.	100% coverage; >= 15% CTR	Per lot / Monthly
6	On-Shelf Velocity	Units per store per week (UPSPW) in top retailers by SKU.	>= 8 UPSPW powder; >= 12 RTD singles post-promo	Weekly

Risks & Mitigations

#	Risk	Mitigation	Owner
1	Reformulation fails to materially improve chalkiness/aftertaste	Stage-gate with blinded sensory vs. whey and top plant competitors; kill switch if NPS < +30; iterate sweetener/mouthfeel systems early.	R&D
2	COA publication exposes heavy metal variances and triggers concerns	Tighten supplier specs, pre-screen lots, blend to spec, and add plain-English context on limits; hold lots that exceed internal guardrails.	QA/Regulatory
3	Promotions drive trial but crush margin	Set CPAT guardrails, target high-ROI retailers, cap redemptions, and tie offers to repeat incentives rather than deep one-time discounts.	Finance/Pricing
4	Operational complexity of sachets/RTDs strains supply chain	Pilot limited flavors/SKUs, outsource initial co-pack runs, and scale only if trial-to-repeat meets threshold.	Ops/Supply Chain
5	Over-indexing on 'doctor-founded' story backfires	Lead with evidence and taste; use founder as context only, avoid cure-all language, and support claims with COAs and customer proof.	Brand/Comms
6	Low adoption in Spanish-speaking communities due to messaging gaps	Deploy bilingual demos, EN/ES materials, and local ambassador referrals; validate copy via community review before scaling.	Retail/Field Marketing

Timeline

0–3 months:

Launch value math callouts, COA hub with QR, taste guarantee, EN/ES PDPs, and shaker demo video.
Complete pricing architecture and bench reformulation tests; set CPAT and velocity targets.
Instrument taste/tolerance surveys and dashboards.

3–6 months:

Pilot sachets/RTD singles and in-aisle demos in 3 priority retailers; roll out trade promos to hit price thresholds.
Pilot reformulated SKUs (unsweetened/lightly sweetened) in limited markets.
Publish sourcing notes and expand COA coverage to all lots.

6–12 months:

Scale winning flavors/SKUs and demo programs; expand to additional retailers.
Optimize trade mix by CPAT and repeat conversion; refine formulas based on NPS and complaint data.
Evaluate sustainable packaging upgrades as a tiebreaker once velocity stabilizes.

Research Study Narrative

Objective and context

Claude commissioned qualitative research to understand what drives purchase of plant-based protein shakes and powders. We probed reactions to “organic/plant-based” claims, the real decision criteria at shelf and online, and whether a “doctor-founded, personal-struggle” narrative builds trust. The throughline across questions is clear: consumers will notice claims and stories, but they buy on evidence that it drinks well, sits well, and pencils out.

What we learned across questions (evidence-backed)

“Organic/plant-based” = conditional skepticism. The label creates curiosity about cleaner sourcing and gentler digestion but does not overcome taste, texture, and price concerns. Expectation of chalk/pea/grassy notes and stevia aftertaste is pervasive. “Too many chalky, pea-gritty shakes with that weird stevia aftertaste that lingers.” - Brittany Bedell Value math scrutiny is common; some call out a “vibe tax.” “‘Organic and plant-based’ reads like a vibe tax unless the basics check out.” - Jaylan Sherman
Decision funnel is layered. Price per serving opens consideration (coupons/Ibotta sway trial), then taste/texture gatekeeps repeat. Digestive tolerance and satiety determine habit; bloating or early hunger kills repurchase. Convenience (shaker mixability, mainstream grocery availability, RTDs/sachets) enables daily use. Short, transparent ingredient lists and avoidance of stevia/gums are table stakes.
Founder story helps a little, never decides. “Doctor-founded” yields a brief trust bump but cannot offset poor sensory, weak value, or premium pricing. “My buy triggers are still taste, clean ingredients, and price per serving; the founder bio is background noise.” - Brittany Bedell Proof beats prose: shoppers want third-party COAs and amino profiles. “COA per lot… full amino acid profile with leucine spelled out.” - Jaylan Sherman Low-risk trial formats (single serves, easy returns) are pivotal. “If I’m stuck with a vat of sweet drywall, I’m salty.” - Jennifer Higgins

Persona correlations and demographic nuances

Lower-income, Spanish-speaking caregivers: Highly price-sensitive; prefer in-person sampling and neighbor validation; default to whole foods if flavor/value disappoint. Avoid online/subscriptions; bilingual clarity matters. Supported by Shaneque Guevara and Amanda Velasquez.
Mid-income caregivers (stay-at-home parents): Routine-first; prioritize shaker mixability and reliable satiety; open to RTD singles and small sizes; wary of commitments until proven. Seen in Jennifer Higgins and Shaneque.
Young, high-income performance-minded: Optimization buyers demanding protein density math, kcal thresholds, and COAs; will revert to whey if plant formulas underperform. Reflected in Jaylan Sherman.
Older, educated, mid/upper-income: Transparency and sustainability as tiebreakers; willing to pay a premium if taste is acceptable and testing/provenance are clear. Seen in Andrea Lucas.
College/grad shoppers: Rapid in-aisle comparisons, coupon-led trial, strong skepticism of hype; taste/texture is decisive. Reflected in Brittany Bedell.

Recommendations grounded in the findings

Win the shaker test: Reformulate for smooth mouthfeel and lighter sweetness; offer unsweetened and lightly sweetened variants to eliminate stevia aftertaste.
Make the value math obvious: On-pack/PDP callouts for cost per 20g protein and protein density; architect “starter” small bags and value tubs; plan TPR/Ibotta cadence to hit known thresholds.
Prove gut comfort and fullness: Substantiate “gentle on stomach” and satiety; monitor and reduce bloat complaints over time.
Radical transparency: Short ingredient lists; publish lot-level COAs and full amino profiles via on-pack QR.
De-risk trial: Single-serve sachets and RTD singles, taste guarantee, easy returns; in-aisle demos at mainstream grocers.
Inclusive comms: Bilingual (EN/ES) PDPs, inserts, and demo scripts; emphasize community testimonials over “white-coat” creative. Founder story remains supportive, not central.

Risks and measurement guardrails

Reformulation misses sensory bar: Stage-gate with blinded panels vs whey/top plant SKUs; proceed only if taste/mixability NPS ≥ +50.
COAs raise heavy-metal worries: Tighten supplier specs, pre-screen and blend to spec; add plain-English context on limits; hold nonconforming lots.
Promos compress margin: Set CPAT guardrails (≤ $2/trial) and tie discounts to repeat incentives, not deep one-off cuts.
Operational complexity (sachets/RTDs): Pilot limited flavors and co-pack; scale based on trial-to-repeat performance.
Over-indexing on founder story: Lead with evidence and taste; avoid cure-all language.

Next steps and how we’ll measure success

0–3 months: Launch value-math callouts, COA/amino QR hub, taste guarantee, shaker-demo microvideo, and EN/ES PDPs. Complete pricing/pack architecture and bench sensory tests. Instrument first-use taste/mixability and gut-tolerance surveys.
3–6 months: Pilot sachets/RTD singles and in-aisle demos in three priority retailers with targeted TPR/Ibotta. Market-test unsweetened/lightly sweetened reformulations in limited geographies. Expand COA coverage to all lots.
6–12 months: Scale winning SKUs and demo programs; optimize trade mix by CPAT and 60-day repeat; iterate formulas based on NPS and complaint data; evaluate sustainable packaging as a tiebreaker.

KPIs: Trial-to-Repeat Conversion (60 days) ≥ 35% overall (≥ 40% demo-driven); Taste/Mixability NPS ≥ +50; Digestive Complaint Rate < 5 per 1,000 units; CPAT ≤ $2.00; COA coverage 100% with ≥ 15% QR/PDP-to-COA CTR.

Recommended Follow-up Questions Updated Jan 13, 2026

What is the maximum price you would be willing to pay for each format, assuming it meets your standards? Please enter a dollar amount for: 1) Powder per 20g protein serving, 2) Ready-to-drink single bottle (11–14 oz), 3) Variety sample pack (4–6 servings).

matrix Sets price points and promo thresholds for powder, RTD, and trial packs to maximize conversion and margin.
Which trial offers would most motivate you to try a new plant-based protein brand? Consider: Free in-store sip sample, $1 single-serve powder sachet, $2.99 RTD single, 20% first-order coupon, Money-back taste guarantee, Under-$10 variety pack, Free shipping on first order, QR code to lot-level COA/amino profile, Influencer/athlete code, Bundled shaker, In-store demo, Subscribe-and-save option.

maxdiff Identifies the highest-impact trial mechanics to prioritize in launch and retail programs.
For each sweetener option, indicate your stance for shakes/powders (Prefer, Accept, Neutral, Avoid): Stevia, Monk fruit, Sucralose, Aspartame, Acesulfame K, Erythritol, Allulose, Cane sugar, Coconut sugar, No sweetener/unflavored.

matrix Guides sweetener selection and whether to offer an unsweetened SKU to reduce taste objections.
Which claims or certifications would most increase your likelihood to purchase a new plant-based protein (assume all else equal)? Options: QR code to lot-level COA, Full amino acid profile with leucine grams, NSF Certified for Sport, Informed Choice, USDA Organic, Non-GMO Project Verified, No gums/carrageenan, No artificial sweeteners, Soy-free, Gluten-free, Pea+rice blend for complete protein, Made in USA, Recyclable packaging, Carbon neutral.

maxdiff Prioritizes on-pack claims and QA investments that build trust and drive trial.
Rank your top three places you prefer to buy protein shakes/powders: Amazon, Brand website, Grocery/supermarket, Walmart/Target, Club stores (Costco/Sam’s), Specialty nutrition (GNC/Vitamin Shoppe), Pharmacies (CVS/Walgreens), Local Hispanic grocers, Gyms/fitness studios.

rank Informs channel prioritization and retail partnership focus to reduce availability friction.
How do you prefer a protein shake’s sensory profile? Rate each on a scale: Sweetness (Not sweet - Very sweet), Flavor intensity (Subtle - Strong), Thickness (Thin - Thick), Texture (Very smooth - Slightly gritty), Aftertaste (Clean - Lingering), Mixability (Mixes well in water - Needs blender).

semantic differential Sets concrete sensory targets for formulation and QC to overcome taste/texture barriers.

These focus on actionable levers: pricing thresholds, trial design, formulation (sweeteners/sensory), trust claims, and channels-avoiding overlap with prior label and founder-story questions.

Study Overview Updated Jan 13, 2026

News & Media

Source	Weight

Plant Protein Shake Consumer Perception

Jennifer Higgins

Amanda Velasquez

Jaylan Sherman

Andrea Lucas

Shaneque Guevara

Brittany Bedell

Jennifer Higgins

Amanda Velasquez

Jaylan Sherman

Andrea Lucas

Shaneque Guevara

Brittany Bedell

Sex / Gender

Race / Ethnicity

Locale (Top)

Occupations (Top)

Summary

Themes

Outliers

Overview

Key Segments

Shared Mindsets

Divergences

Overview

Quick Wins (next 2–4 weeks)

Initiatives (30–90 days)

KPIs to Track

Risks & Mitigations

Timeline

Objective and context

What we learned across questions (evidence-backed)

Persona correlations and demographic nuances

Recommendations grounded in the findings

Risks and measurement guardrails

Next steps and how we’ll measure success

Distinct Market Research Groups

Marketing Reports Generated

Digital Twin Synthetic Personas

Questions Answered