Product ConsultantKardderStrategy Delivered

Campus Go-to-Market Strategy for a Proximity-Based Social App

Building a UCLA-specific go-to-market plan for a proximity-based social app, from positioning and personas to event tactics, budget, a CAC model, and a full measurement framework.

Team
Product Strategy Consultant
Timeline
8 weeks
Tools
Google Sheets, SQL, Figma, Google Docs
Platform
iOS · Android
Campus Go-to-Market Strategy for a Proximity-Based Social App
Overview

A campus-first GTM strategy for a proximity-based social app

Kardder is a location-based social networking app that helps people connect with others nearby and discover local events. It uses proximity features like Bluetooth device recognition, a local event timeline, a map of events, and a 'down-to-meet' toggle that helps users signal intent. The business goal was to grow adoption on a college campus, starting with UCLA. I built the UCLA go-to-market plan, including a CAC model that compared paid social ($4-6/install) against campus activations (~$1.37/install), and moved the founding team from a split decision to an activation-first strategy with paid as a retargeting layer.

+50%
Awareness Goal
Pre vs post survey lift
+10K
Acquisition Goal
Downloads and accounts
+7.5K
Followers Goal
Instagram growth target
$13,665
Budget Plan
Full campaign breakdown
The Problem

Students didn't understand what Kardder was, and the product story didn't land fast enough

Students had many options for social apps, and Kardder lacked steady social proof and consistent top-of-funnel visibility, which limited installs and on-campus adoption. Kardder had an early UCLA user base, but the product story did not land fast enough for students. Competitor pages communicated their 'why' more clearly, and that gap showed up in downloads and social followings. Separately, the team wanted to avoid the 'this is a dating app' misconception and instead lead with real-time social connection and missed connections.

"Increase awareness and installs at UCLA by tightening positioning and building a clear growth plan the team could run and measure."

Deliverables

What I built

Launch strategy (UCLA-specific)

Target market and personas

Positioning statement and messaging frame

Channel tactics and flowcharts

CAC model comparing paid social vs. campus activations

Budget breakdown (event and creator spend)

Measurement plan (installs, accounts created, awareness survey)

Target Users

One primary campus segment with a sharp activation focus

We targeted full-time UCLA undergrads who want friends and events, with extra focus on first-years and transfer students who have fewer built-in connections.

01
Primary User

UCLA Undergrad (New to Campus)

First-year or transfer student with limited existing connections, looking for plans and people nearby.

Goals and Needs
  • Find people nearby and decide what events to go to
  • Discover local social plans without relying on existing friend groups
  • Install, create an account, and experience a meaningful first-use moment
02
Secondary User

Socially Active Upperclassman

Connected student who organizes events and can drive peer installs through their existing network.

Goals and Needs
  • Share events and discoveries with people in the same physical space
  • Signal intent to meet without ambiguity or awkwardness
  • Build genuine connections that extend beyond digital interaction
Gallery 1
Market analysis
Gallery 2
Market analysis
Success Metrics

What we're tracking and what success looks like

Metrics were structured to connect daily campaign actions to the north star acquisition outcome.

North Star
New user acquisition on campus: app downloads and new accounts created over 3 months
Input Metrics
Instagram follower growth (brand awareness)
Survey lift in awareness (pre vs post)
Event-driven installs per activation (booth, collabs, creators)
Guardrails
Privacy trust and 'not a dating app' clarity in messaging. Privacy concerns are a known risk in this category.
Insights

Kardder's edge is real but students needed a faster reason to try it

Competitor analysis and product data revealed where growth was stalling and what Kardder could actually win on campus.

Root Cause

Growth would stall if people did not quickly understand what Kardder is for and why it fits campus life. The plan fixed this by pairing clear positioning with repeated, in-person triggers to install and try the app at the exact moment students want to meet people and find plans.

Kardder's edge is real-time, proximity-based connection. 'Nearby' means nearby (GPS, Wi-Fi, Bluetooth proximity).

The market is crowded, so campus activation needs strong incentives and visible social proof

Kardder had 94,922 sessions and 122,581 chat messages. The main risk wasn't engagement. It was getting more of the right UCLA students to try it.

Kardder's Instagram had 3,545 followers and a 0.40% engagement rate. Apps that explain their main value in one line tend to win on followers and downloads.

Approach

Out-trust and out-activate the big platforms, not out-spend them

Goal: Increase UCLA adoption by pairing event-based activation with consistent social proof

Rather than chasing paid acquisition or broad social campaigns, the strategy centered on what Kardder could actually win: high-intent campus moments where students already want to meet people and find plans.

Product Principles

Make the 'real life proximity' value obvious in the first 5 seconds

Use events as the hook, not ads

Build trust fast with clear boundaries and privacy framing

Borrow existing demand from high-traffic campus moments

Hypotheses

If we drive installs through high-traffic campus moments and tie them to incentives, then installs and new accounts will rise because students already show 'meet people' intent during those moments.

If we grow Instagram with consistent positioning, then follower trust and download intent will increase because social proof compounds.

Approach
Prioritizing

Why campus activations and not ads or influencers alone

Three options were on the table. The team was split on paid ads vs. campus activations. I built a CAC model in Google Sheets to make the sequencing case: the plan goal was campus adoption, and Kardder's advantage is proximity in the physical world.

Option 1: Paid digital ads onlyRejected
Pros

Fast spend, easy targeting

Cons

Low trust, easy to ignore on campus. Estimated CAC: $4-6/install. Weak conversion without a real-world trigger.

Option 2: Pure influencer pushRejected
Pros

Strong social proof signal

Cons

Weak conversion without a physical-world trigger to install and act

Option 3: Campus activations and org partnershipsChosen
Pros

High intent, fast installs, repeatable playbook. CAC modeled at ~$1.37/install vs. $4-6 for paid social.

Cons

Ops-heavy, needs staffing and partner coordination

Final Decision

Campus activations plus partnerships because the plan goal was campus adoption, and the product's advantage is proximity in the physical world. The CAC model showed campus activations at ~$1.37/install vs. $4-6 for paid social, which moved the founding team from a split decision to activation-first with paid as a retargeting layer. I prioritized tactics that forced a clean value exchange: install and follow in return for access, prizes, or a fun moment.

Scope and Roadmap

What was in and what was saved for later

MVP Scope
  • On-campus booth activation with QR installs and prizes
  • Partnerships with student orgs and Greek life to require installs for entry
  • Creator content to reinforce 'what it is' and drive social proof
  • Instagram giveaways to drive follows, tagging, and story reposts
Out of Scope
  • Multi-campus expansion before UCLA repeatability proved out
Milestones
01

Discovery: baseline metrics and message testing

02

Build: tracking plan and event ops checklist

03

Launch: campus activations and partnerships

04

Measure: installs, accounts created, awareness survey

Execution

A strategy document, CAC model, budget, and two operating tools built to ship

Wrote the plan as a single source of truth (strategy, tactics, flowcharts). Turned goals into a measurement plan tied to what to track and how.

01

Meet the Hill Booth: Top-of-Funnel Push

Campus Activation

Designed the anchor activation: a high-visibility booth at Meet the Hill during Week 0, with QR codes for direct installs, a prize wheel for engagement, and staff trained to pitch Kardder in one sentence. This created a repeatable playbook: show up at the moment students are already trying to meet people.

OUTPUT

Event ops checklist, booth setup guide, pitch script for staff.

02

Event Partnerships and Competitive Events

Partnership Strategy

Structured partnerships with fraternities, the CAC concert series, and UCLA Health pop-ups to borrow existing demand. Required installs for entry to create forced trial at moments of high social intent. Added competitive events (basketball, tug-of-war, dodgeball) to create repeatable installs, organic content, and shareable social moments.

OUTPUT

Partnership pitch template, partnership tier breakdown, per-event install target.

03

CAC Model and $13,665 Campaign Budget

Budget and Finance

Built a CAC model in Google Sheets comparing paid social ($4-6/install) against campus activations (~$1.37/install based on the $13,665 budget and a 10K install target). Before finalizing, queried early signup and engagement data by source and cohort in SQL to validate the channel assumptions, grounding the recommendation in actual behavior rather than benchmarks alone. The model moved the founding team from a split decision to activation-first with paid as a retargeting layer. Key budget allocations: Meet the Hill ($2,540), CAC concert ($2,745), fraternity collab ($3,700). Structured to fit a $3,000-$5,000/month campaign cadence.

OUTPUT

Full budget spreadsheet with per-event breakdowns, cost-per-install estimates, and monthly pacing. KPI logic defined: what user actions count as acquisition events, funnel checkpoints from install to account creation to first meaningful engagement, and success thresholds for the team to evaluate against.

04

Mobile Flow Mapping and Usability Testing

User Research

Mapped end-to-end mobile user journeys in Figma across the proximity connection flow, event discovery, and the down-to-meet toggle. Ran usability tests on those core app flows to identify where users failed to complete tasks. Revised the flows in the Figma prototype based on feedback and re-tested on the updated version.

OUTPUT

Task completion improved from 62% to 88% across the primary flows on the revised prototype. Sample was small given the 8-week timeline, treated as directional usability evidence rather than a production KPI.

Gallery 1
Budget breakdown
Launch Plan

Ops tools, rollout sequence, and risk mitigation

The handoff was designed so a small team could execute confidently with clear scripts, flowcharts, and a phase-by-phase rollout.

Rollout Tactics

Launch at a high-traffic UCLA moment with a booth and prize wheel to drive installs

Stack partnerships (org events and Greek life) to create repeated install triggers

Run Instagram giveaways alongside activations to compound awareness

Enablement

Simple scripts for booth staff and partners: how to pitch in one sentence. Two operating tools built: an event flowchart mapping dependencies (outreach, reserving, supplies, flyering) and a media flowchart mapping what to draft, post, and repost around each event. Both built so the team could run activations and attribute results without a PM present.

Rollout Phases
Phase 1

Week 0 booth activation (Meet the Hill): anchor install moment with prize incentive

Phase 2

Weeks 2-6: event partnerships and org collabs stacked for repeated exposure

Phase 3

Ongoing: creator content and Instagram giveaways to sustain social proof between events

Risk Plan

Privacy concerns: lead with boundaries and clarity on how proximity works. Reinforce 'not a dating app' framing in all booth pitches, creator briefs, and social copy.

Media flowchart
Media flowchart
Event flowchart
Event flowchart
Results

A $13,665 plan and measurement framework targeting campus adoption

Founders used this strategy to launch at UCLA. Every tactic was tied to a measurable outcome so the team could shift budget toward the highest-converting channel. GTM targets: 10K installs, 7.5K Instagram followers, 50% awareness lift over 3 months.

+10K
Install Target
Downloads and accounts over 3 months
+7.5K
Follower Target
Instagram growth over 3 months
+50%
Awareness Lift Goal
Pre vs post survey
Strategy Output
Full GTM strategy used by founders to launch at UCLA
CAC model: campus activations at ~$1.37/install vs. $4-6 for paid social
Complete measurement plan: QR scans to installs, install-to-account rate, follower growth rate, and pre/post awareness survey
Budget model with per-event breakdowns and monthly pacing to fit $3K-$5K/month spend
Event flowchart and media flowchart so execution stays consistent without the PM in the room
Usability testing on core app flows: task completion improved from 62% to 88% on the revised Figma prototype (small sample, directional)
Instagram and download tracking: followers before and after, daily download tally, summed after 3 months
Reflection

If users can't explain the product in one sentence, growth stalls

This project reinforced a simple PM rule: if users cannot explain the product in one sentence, growth stalls. That is why I anchored the plan on clear positioning, real-time social networking, truly nearby connections, and student co-creation. The CAC model was the pivot point. Before it, the founding team was split between paid ads and campus activations. After it, the path was clear. If I ran the next iteration, I would add tighter funnel instrumentation per event (QR scans to installs, installs to account creation) and run message tests for the 'not a dating app' framing versus 'missed connections' framing. That would let the team shift budget toward the highest-converting channel faster. I would also add lightweight retention loops tied to events (follow, RSVP, invite a friend) so installs turn into repeat use.

The best GTM plans don't just generate installs. They create the exact moment users understand why they needed the product.

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