Sub-Benefit Targeting Framework

Which Cognitive Health Claim Should You Lead With?

Five signals scored across five sub-benefits. The question: where is consumer demand high and rising, AND either branded competition is low or existing brands are failing to deliver, AND science can support the claim?

Cognitive Health 5 Sub-Benefits 5 Signals

The Framework

A sub-benefit is worth targeting when it sits at the intersection of demand, momentum, and either competitive emptiness or competitive failure — backed by science that can support the claim. Two shapes of opportunity exist:

Empty Space

Few brands claim it, but consumer demand exists. First mover advantage.

Broken Space

Many brands claim it, but consumers aren't satisfied. Better execution wins.

Signal Source What it answers
1. Demand perception_evidence_tags Are consumers talking about this sub-benefit?
2. Trajectory perception_evidence × date_posted Is demand growing or shrinking?
3. Density product_ingredient_claims_tags × branded_name How many branded ingredients already claim it?
4. Delivery product_tags × product_topics (sentiment) Are brands claiming it actually satisfying consumers?
5. Science science_evidence_tags Can you back the claim clinically?

Scorecard: Cognitive Health Sub-Benefits

All five signals for all five cognitive sub-benefits. Each cell sourced directly from the database. High-confidence perception mentions (≥0.7), product review topic sentiment, and PubMed-sourced science evidence.

Signal Brain
Energy
Mental
Clarity
Focus &
Attention
Memory Neuro-
protection
Demand
perception mentions
398 339 205 122 113
Trajectory
share shift pre-2025 → 2025+
17.9% → 48.8%
+31pp
37.0% → 21.1%
−16pp
15.8% → 18.9%
+3pp
16.1% → 4.9%
−11pp
13.2% → 6.3%
−7pp
Density
branded ingredients (solo products)
8 107 51 45 43
Delivery
effectiveness dissatisfaction
12.6% 11.8% 12.1% 11.6% 11.2%
Delivery
side effects dissatisfaction
36.8% 38.0% 37.9% 37.9% 36.9%
Science
studies (RCTs / meta-analyses)
132
96 / 21
1,294
870 / 316
656
512 / 91
766
526 / 201
1,232
633 / 437

Reading the Scorecard

1. The empty space is Brain Energy

Three signals converge on a single sub-benefit:

Demand

398

Highest mention count of any tag

Trajectory

+31pp

17.9% → 48.8% share — fastest growth by far

Density

8

vs. 107 for Mental Clarity — 13× less crowded

Brain Energy has the most demand, the fastest growth, and by far the least competition. This is the textbook empty space pattern.

2. There is no broken space in Cognitive Health

The delivery signal is flat across all five tags:

Effectiveness dissatisfaction

11.2% – 12.6% — a 1.4pp spread. No tag's products are failing meaningfully worse than any other's.

Side effects dissatisfaction

36.8% – 38.0% — a 1.2pp spread. Side effect pain is uniformly distributed.

If you're looking for a sub-benefit where incumbents are uniquely bad, it doesn't exist here. The "broken space" play requires a different category — or a different level of analysis (ingredient-level, not tag-level).

3. Brain Energy's weakness is science

The one signal where Brain Energy ranks last. With only 8 branded ingredients in the space, the science gap matters more — each entrant needs its own clinical story:

Brain Energy science

132 studies

96 RCTs, 21 meta-analyses, 54 ingredients

Neuroprotection science

1,232 studies

633 RCTs, 437 meta-analyses, 167 ingredients

Brain Energy has 9.3× less science than Neuroprotection. If you lead with Brain Energy, you're entering the sub-benefit with the strongest consumer tailwind but the thinnest clinical backing. Pairing with a science-heavy secondary tag compensates for this.

4. Memory is dying

16.1% → 4.9% share — the steepest proportional decline of any tag. It has no compensating advantage: middling science (766 studies), middling density (45 branded ingredients), flat delivery. Consumer interest is leaving Memory with no reason to follow it.

5. Neuroprotection is the science anchor

Neuroprotection's consumer demand is low (113 mentions) and falling (−7pp). On its own, it's a weak positioning choice. But it has:

  • 1,232 studies — second only to Mental Clarity, and with the highest meta-analysis count (437)
  • Moderate density — 43 branded ingredients in solo products, comparable to Memory (45) but far below Mental Clarity (107)
  • Low refutation risk — long-term brain health is harder for consumers to self-disprove than "does this help me focus right now?"

Neuroprotection is not a lead claim. It's a supporting claim that gives your primary positioning (Brain Energy) the clinical credibility it lacks on its own.

Framework output

Lead with Brain Energy. Anchor with Neuroprotection.

Primary: Brain Energy

  • Highest consumer demand (398 mentions)
  • Fastest growing (+31pp share shift)
  • Least crowded (8 branded ingredients in solo products)
  • Weakest science (132 studies)

Secondary: Neuroprotection

  • Deep science base (1,232 studies, 437 meta-analyses)
  • Moderate density (43 in solo products — 5× more than Brain Energy, but far below Mental Clarity)
  • Low consumer refutation risk
  • Low standalone demand (113 mentions, declining)

Avoid: Mental Clarity

107 branded ingredients in solo products — 13× more than Brain Energy. Declining demand (−16pp). Highest side effects dissatisfaction. Maximum crowding, no edge.

Avoid: Memory

Collapsing demand (16.1% → 4.9%). No compensating advantage in density, delivery, or science. Consumer interest is leaving.

Data Sources

Demand + Trajectory: perception_evidence + perception_evidence_tags. High-confidence social mentions (≥0.7 tag confidence) from Reddit, YouTube, TikTok, and other platforms. Each row is a (quote × tag) pair. 1,177 mentions across 5 tags, split pre-2025 (570) vs. 2025+ (607).

Density: product_ingredient_claims_tags × product_ingredients.branded_name, filtered to solo-ingredient products (one branded ingredient per product). This ensures the claim is directly attributable to the ingredient — not inherited from a multi-ingredient stack.

Delivery: product_tags × product_topics. Topic-level sentiment (positive, negative, neutral) from consumer product reviews of products tagged to each sub-benefit. Dissatisfaction % = negative / (positive + negative). Reviews are "top reviews" from product listings — a curated sample.

Science: science_evidence_tags. PubMed-sourced studies tagged to cognitive sub-benefits. Count includes RCTs, meta-analyses, clinical trials, and observational studies. Count ≠ quality — individual study design matters.