Predictive Brand Name Modeling

1. Galista
Proprietary Pharmaceutical Name
Predictive Brand Name Modeling

2. Galista
Galista: “Gallant” is the primary message, which signals
attributes of dependability, leadership assurance. Also
“ista” indicates a sense of support and trust. One also
sees the word ‘vista’ implying a positive view on the
horizon. The letter ‘G’ invokes subtle reference to
Gamunex or the next generation offering: the future of
Gamunex.
The name is distinctive and does not possess any
significant orthographic or phonographic conflicts with
other pharmaceutical names within the SCIG 20% care
setting.
POCA Average Score: 64 (Closest name: combined –
Cal-Stat)
The name also tested well in all geographic markets,
particularly in Western Europe, and English speaking
markets.
Key Market Research
Insights:
Research participants cited
strong associations with
supportive, innovative, safe,
natural, autonomy and
sincerity.
Supportive Rationale for Decision to Select Galista:
Alliteration is a key factor when considering an effective brand identity and
Galista possesses all of the key components of a powerful, balanced,
linguistically sound moniker. While some of the key associations are
different than the other names candidates, they still align very well with the
attributes the Grifols team defined at the outset of this project.
supportive safety
innovative natural
autonomy sincerity
Benchmark Percentile Rank:
Of the proprietary pharmaceutical names
tested by Brand Acumen since January,
2016, Galista ranked in the following
percentile in these categories of all names
tested:
Pronunciation 87
Scriptability 84
Readability 90
Ease of Use 83
These qualitative response
attributes support a strong
case for Galista from a
marketing perspective
English Spanish German French Japanese Mandarin
Global Pronunciation

3. Galista
ReLAA™ (Relational Linguistics Algorithmic Analysis)
Linguistic Analysis Galista
Scriptability 84
Aural Comprehensibility 89
Visual Aesthetics 94
Syllabic Balance 89
Phonetic Viability 91
Evocative Semantics 96
Durability & Longevity 97
Ease of Pronunciation 87
Gender Properties 93
Phonemic Simplicity 89
Quantitative Score/1000 909
Linguistic Discourse
Analysis
Galista
Contextualization 92
Glocalization 89
Lexical Semantics 92
Contrastive Linguistics 93
Morpho-Syntax 84
Speech Recognition 87
Parsing (ease) 88
Graphetics 87
Quantitative Score/800 712
ReLAA™, Brand Acumen’s Relational Linguistics Algorithmic Analysis program serves as a
predictive tool for pharmaceutical naming.
Borrowing elements of forensic phonetic science, this tool allows us to model 217 languages
and over 5900 dialects for each name candidate.
.
ReLAA™

4. Xembify
Approved July, 2019
Benchmark Percentile Rank:
Of the proprietary pharmaceutical names tested by
Brand Acumen since January, 2016, Xembify ranked
in the following percentile in these categories of all
names tested:
Pronunciation 84
Scriptability 82
Readability 89
Ease of Use 90
Linguistic Analysis Xembify
Scriptability 85
Aural Comprehensibility 87
Visual Aesthetics 90
Syllabic Balance 91
Phonetic Viability 90
Evocative Semantics 84
Durability & Longevity 92
Ease of Pronunciation 86
Gender Properties 93
Phonemic Simplicity 88
TOTAL 886
Yupelri
Approved November, 2018
Benchmark Percentile Rank:
Of the proprietary pharmaceutical names tested by
Brand Acumen since January, 2016, Yupelri ranked
in the following percentile in these categories of all
names tested:
Pronunciation 57
Scriptability 69
Readability 49
Ease of Use 62
Linguistic Analysis Yupelri
Scriptability 62
Aural Comprehensibility 60
Visual Aesthetics 74
Syllabic Balance 44
Phonetic Viability 55
Evocative Semantics 67
Durability & Longevity 51
Ease of Pronunciation 52
Gender Properties 70
Phonemic Simplicity 49
TOTAL 584
Benchmark Examples of Other Drug Names