Skip to content
Álvaro García

Strategy · 2026

Completed

HydroSense

A B2B2C mobile marketing strategy built on hydration data

Role
Author · individual Master's thesis
Year
June — July 2026
Stack
  • Business Model Canvas
  • PESTEL
  • Porter
  • DAFO-CAME
  • Buyer personas
  • Customer journey
  • Funnels
  • 7Ps
  • Semrush
  • Keyword Planner
Projection · CTR
  • Preventive risk alert35%
  • Post-workout report22%
  • Weekly achievement18%
  • Pre-workout alert15%
  • Product recommendation12%
  • Sector benchmark3.4%

Academic work. All figures are model projections, not measured results: there was no pilot or primary research.

Overview

A complete digital marketing plan for a conceptual platform that passively captures hydration data in gyms and turns it into contextual push notifications, cross-selling and loyalty.

Master's thesis for the Master's Degree in Digital Marketing (UNIR). HydroSense is an analytical construct created for the thesis.

customer journey stages
7
biometric push types
5
projected CTR vs 3.4% sector benchmarkProjection
12–35%
Year-1 ROI, conservative scenarioProjection
50.6%

AI usage

A marketing strategy project. The analysis is based on desk research and classic planning frameworks.

No public demo: this project runs locally.

01 · Insight

Your watch can detect an arrhythmia. No app knows if you drank water.

Heart rate, sleep, steps: almost everything is measured automatically. Hydration still depends on users logging it by hand, and almost nobody does that mid-workout.

Benchmarking eight platforms (Apple Health, Samsung Health, Garmin Connect, MyFitnessPal, Fitbit, Withings, Toi Labs TrueLoo and the proposal) confirmed that every mass-market app still relies on manual logging as the only method.

02 · Proposal

A passive data point that powers contextual marketing.

The thesis proposes IoT smart urinals in gym changing rooms as a passive source of hydration data, integrated into the gym’s app.

The angle is marketing: personalise the customer journey on the member’s actual physiological state rather than observed behaviour, and build a B2B2C model for gyms, members and drinks brands.

03 · Customer journey

Seven stages, physical and digital.

The phygital integration of changing room and app is the thesis’s central contribution.

  1. 01

    Awareness

  2. 02

    Consideration

  3. 03

    First use

  4. 04

    Post-workout

  5. 05

    Cross-selling

  6. 06

    Loyalty

  7. 07

    Advocacy

04 · Activation framework

Five notifications, each with a biometric trigger.

Target CTR per push type against the sports sector benchmark (3.4%, Leanplum 2023).

  • Preventive risk alert

    Hydration < 50% in an intense session

    35%
  • Post-workout report

    Pre vs post session comparison

    22%
  • Weekly achievement

    7 days in the optimal zone

    18%
  • Pre-workout alert

    Low hydration on arrival

    15%
  • Product recommendation

    Moderate dehydration after > 45 min

    12%
  • Sector benchmark

    Conventional push

    3.4%
Thesis projections, not measured results.

05 · Method

A marketing plan, end to end.

Analysis
Business Model Canvas, unique value proposition, PESTEL, competitive benchmarking, Porter’s five forces and SWOT/TOWS.
Audience
Segmentation, B2B (gym director) and B2C (member) buyer personas, an empathy map and the customer journey.
Objectives
SMART business and digital marketing objectives, with B2B and B2C conversion funnels.
Strategy
The 7Ps marketing mix and channel tactics: SEO keyword clusters, LinkedIn and Meta Ads, email, push and content.
Numbers
A 12-month budget and a sales and ROI forecast with conservative and optimistic scenarios.

06 · Business model

Viability, with every figure labelled for what it is.

Year-1 forecast of the plan. Projections based on secondary industry sources.

marketing plan budgetProjection
€118,015
year-1 revenue, conservative scenarioProjection
€177,736
conservative ROIProjection
50.6%
optimistic ROIProjection
152.8%

07 · Learnings and limits

What the thesis does not prove.

The thesis states its own limits: there was no primary research or pilot, HydroSense is an analytical construct, and no data protection impact assessment was carried out.

What it does provide is a reusable framework: trigger communication by physiological context instead of time-based rules, and treat GDPR compliance as a competitive advantage in a product that handles health data.