Student Campaign Intelligence Platform

Make every pound of your student marketing budget work harder.

Most brands targeting students are reaching the wrong people, in the wrong places, at the wrong time. Unifresher Intelligence changes that - city by city, university by university.

The result: brands using Unifresher Intelligence spend less to reach more of the right students - saving budget that would otherwise be wasted on the wrong people, places, and timing.
See the platform ↓
10+ years in UK student marketing
410 campaigns analysed in 2025
55+ UK cities covered by Unifresher
Trusted by Taco Bell, Deliveroo, Vue, Boots
2.86M+
Students tracked (HESA 2024/25)
285+
Universities and institutions
1,200+
PBSA buildings with move-in dates
4.2M+
Data points across 11 sources
55+
UK student cities mapped
The Problem

Student marketing budgets are leaking - and most brands don't know where.

We've run 410 student campaigns. These are the mistakes we see every year, and the ones that are costing brands the most.

📅

Launching on the wrong date

Edinburgh students arrive Sep 5. Bath arrives Oct 5. A 30-day window - and most brands pick one date somewhere in the middle. They miss the earliest arrivals entirely and are late for others.

A 30-day timing error can mean 40%+ of your Freshers budget lands in empty cities.
📍

Targeting the city, not the street

Students don't live everywhere in a city - they cluster in specific postcodes. NG7 in Nottingham, LS6 in Leeds, B29 in Birmingham. City-level targeting burns the majority of impressions on non-students.

Broad geo targeting can waste 60-70% of impressions on people who aren't students.
🏬

Treating all locations the same

A brand with 400 locations can't run a student campaign across all of them. But without data, they either go national (wasteful) or guess (worse). Most have no idea which of their stores are actually near student infrastructure.

Without location scoring, brands often activate stores with no students nearby and ignore their best-placed ones.
👥

Targeting the wrong kind of student

A first-year in halls and a third-year in an HMO are completely different customers. Different locations, different products they need, different times of year they're receptive. Blanket "student" targeting treats them as one.

Campaigns not segmented by year group and accommodation type regularly under-convert by 2-3x vs segmented alternatives.
💡

Not knowing what students actually want

The best targeting in the world falls flat if the offer, message, or channel is wrong. What do students in your category actually care about? What makes them switch? Most brands are guessing - because no one has asked.

Generic student offers underperform category-specific, insight-led creative by an average of 35%.
📊

No way to know if it worked - or why

After the campaign, there's a reach number and a CPM. But did it reach the right students? Did it run in the right window? What would have made it work harder? Most brands repeat the same campaign year after year without ever knowing.

Without benchmarking against similar campaigns, there's no way to know if your results are good, bad, or simply mediocre.
How It Works

From brief to targeting plan in minutes.

The platform does the analysis. You get a campaign brief built around one principle: the right student, right time, right message - telling your team or agency exactly where to spend, when, and why.

01

Tell us about your brand

Upload your store locations, or define your target audience - year group, accommodation type, subject area. The platform works from your reality, not a generic template.

02

Get your intelligence report

The platform cross-references your inputs against our proprietary student data - halls, HMO zones, campuses, move-in dates, competitor positions - and surfaces every opportunity and risk.

03

Plan campaigns with confidence

Export a targeting brief with prioritised locations or per-city schedules, postcode lists, and timing windows. Take it to your agency, or activate yourself - the insight is yours to use across any channel.

The output

A campaign brief that tells you which locations or cities to prioritise, which postcodes to target, and when to go live in each market - replacing weeks of manual research and guesswork with a decision you can defend. The result: your student budget stretches further, reaching more of the right students for every pound spent.

Inside the Platform

Six views. Every one a question your campaigns should already be answering.

Unifresher Intelligence Dashboard

UK Student Ecosystem - Live Dashboard

Your starting point before any campaign. A real-time read on the UK student market: population by city, year-on-year growth, PBSA and HMO bed counts, and the timing signals that set the context for every spend decision you'll make.

What you walk away with
  • Which cities are growing fastest - where student numbers are increasing year on year
  • Market size context before you commit budget to any city
  • The baseline intelligence every student campaign should start from
Unifresher Intelligence - Explore the Data / City Explorer

Explore the Data - Summary Intelligence for Every UK Student City

Select any of 55+ UK student cities and instantly see the full picture: total students, number of universities, PBSA and HMO bed counts, year-on-year growth, PBSA move-in windows, and a street-level map of every hall and campus. The postcode targeting zones and top subjects are included - so you know exactly where students live and what they study.

What you walk away with
  • Per-city student population, university count, and PBSA/HMO bed inventory
  • PBSA move-in window and Freshers week dates - per city, per provider
  • Postcode targeting zones ranked by student density
  • Top subjects by city - to match your brand’s target demographic
  • YoY growth trend - prioritise cities where the student market is expanding
Unifresher Intelligence Campaign Planner

Campaign Planner - Start Here

Choose your path: Location Intelligence if you have physical stores, Audience Intelligence if you're a digital-first brand. The planner routes you into the right flow for your brand and starts building your brief from there.

What you walk away with
  • A clear starting point tailored to your campaign type
  • The right questions asked - so the output is relevant to your actual objectives
  • Both modes available: location scoring or audience segmentation
Unifresher Intelligence Location Intelligence

Location Intelligence - Every Store, Scored

Upload your location list. The platform scores every store against nearby student infrastructure - halls with bed counts and move-in dates, HMO zones, campus buildings, competitor positions. The result is a tiered brief: Tier 1 stores get the budget, Tier 2 get tested, Tier 3 sit out. No more guessing which sites are worth activating for students.

What you walk away with
  • Every location ranked by genuine student opportunity - not postcode approximations
  • Per-store activation windows based on the specific universities nearby
  • Competitor visibility per location - who's already there and how close
  • Ready to hand to your agency or internal team
Unifresher Intelligence Audience Intelligence

Audience Intelligence - Staggered City Activation

Define your segment and get a city-by-city go-live schedule built from actual PBSA move-in data - not Freshers week estimates. Each city gets its own launch date, audience size, postcode list, and growth rate. The opposite of one national launch date.*

* Sample data shown. Brand examples are illustrative only.

What you walk away with
  • Per-city go-live dates that match when students physically arrive
  • Audience size per city - so you can weight budget proportionally
  • Target postcodes per market, ready for campaign setup
  • Growth trend per city - prioritise markets that are expanding
  • Campaign opportunity calendar: Freshers, loan drops, exam periods, and more
Unifresher Intelligence Insight Reports

Student Insight Reports - Go Beyond Where and When

The platform tells you which students to target and when. Insight Reports tell you what they actually want. Based on direct interviews with 2,400+ students across 12 cities, each report covers one sector in depth - decision triggers, switching behaviour, and offer recommendations. Launching Q3 2026.

What you walk away with
  • Primary research: what students in your category actually care about
  • Decision triggers and switching moments - not generic student data
  • Category-specific insight: Banking & Fintech, Broadband, Streaming, Fitness, Food Delivery, Fashion
  • Actionable offer and creative recommendations to shape your campaign, not just your targeting
In Practice

What the platform actually changes.

Four scenarios - one for brands with physical locations, one for digital-first brands, one hybrid, and one for QSR and restaurant chains. Each one shows the decisions that are currently costing budget, and what changes with Unifresher Intelligence.

❌ How it typically gets planned

The scenario

A broadband provider wants to sign up students moving into their first HMO. Budget: £200k. Target: students who need broadband for the first time - first-years leaving halls for their first shared house.

Wrong audience - targeting all students

First-years in halls don't need broadband - it's included. Only second-years moving into HMOs need a contract. Without this filter, roughly 70% of impressions reach students who can't convert.

Wrong timing - launching in Freshers week

Second-years move into HMOs in late August - weeks before term starts. Broadband decisions happen during move-in, not during Freshers. A September launch is already too late for most of the audience.

Wrong postcodes - interest targeting instead of HMO zones

HMO zones cluster on specific streets: NG7 in Nottingham, S6 in Sheffield, B29 in Birmingham. City-level geo or interest-based targeting reaches far more non-students than students in HMOs - and misses the ones who are actively moving in right now.

✓ With Unifresher Intelligence

Step 1 - Filter to second-years in HMO zones

Set audience to Year 2, HMO accommodation. Platform surfaces 340,000 second-year students moving into HMOs for the first time across 25 cities - the audience that can actually convert, not a broad student sweep.

Step 2 - Get HMO postcode zones per city

Platform outputs street-level targeting zones: NG7 Lenton (14,800 students), LS6 Headingley (11,200), B29 Selly Oak (9,400). These are ready for campaign setup - not broad city codes.

Step 3 - Activate before move-in, not after

Manchester go-live Aug 26 · Leeds Sep 2 · Nottingham Sep 8 · Bath Sep 22. Each city activates two days before students move in - when they're choosing providers, not after contracts are signed.

Step 4 - A brief ready for your agency or team

Audience definition, postcode lists, per-city go-live dates, and audience sizes - exported as a brief your agency can execute across any channel.

340k
Right audience vs 1.2M broad
−3wks
Earlier activation per city (avg)
Street
Level postcode vs city targeting
~£80k
Estimated budget recovered

Also applies to: Any utility or service targeting second-year students at move-in

* This is a hypothetical scenario for illustrative purposes. All brand references are illustrative only and all data shown is sample data.
❌ How it typically gets planned

The scenario

A gym chain with 400 UK locations wants to acquire student members during Freshers. Budget: £150k. They want to reach students near their gyms - but don't know which locations are actually worth activating.

No visibility on which locations are near students

Without data, the options are: go national (expensive, wasteful) or choose cities by gut feel. Most brands either overspend in cities where they've already captured a large share of the student market, or underspend in cities where they're barely present despite large student populations nearby.

Same activation date for every location

A national September 15 launch ignores the fact that Edinburgh universities start Sep 5, Leeds Sep 10, Bath Oct 3. Locations near early-starting universities miss the first two weeks entirely.

No competitor awareness

The campaign goes live without knowing that a competitor gym sits 300m from the campus entrance at two of their highest-priority locations. Budget spent in direct competition for the same students.

✓ With Unifresher Intelligence

Step 1 - Score every location against student infrastructure

Upload the full 400-location list. Platform matches each one against nearby halls (with bed counts and distances), HMO zones, campus buildings, and competitor positions. Every store gets a student opportunity score.

Step 1b - City-level market opportunity

Platform also surfaces the student market picture per city: how many students are there, how many gyms are competing for them, and whether the market is already saturated or under-served. A city where you have a location but already hold a large share may be less valuable than a city where you're present but barely known.

Step 2 - Tiered brief: focus on what matters

12 locations in genuine student zones. 6 are Tier 1 - high bed counts, close proximity, no major competitor blocking. 4 are Tier 2 - worth testing. 2 are Tier 3 - marginal. Budget goes to Tier 1.

Step 3 - Per-location activation schedule

Manchester Oxford Rd: activate Sep 15 (Manchester Met Freshers). Edinburgh Nicholson St: activate Sep 5 (two weeks earlier). Bath: activate Oct 3. Each location gets its own launch window based on the nearest university calendar.

Step 4 - Competitor-aware campaign planning

Platform surfaces that The Gym Group sits 400m from your Manchester location and JD Gyms is 300m from your Leeds site. You know this before you spend - and can adjust messaging, offer, or channel accordingly.

12
Locations worth activating (of 400)
6
Tier 1 stores: 186,800 students in range
Per-store
Activation dates vs one national date
~£90k
Budget not wasted on wrong locations

Also applies to: Any brand with a physical estate wanting to identify student-zone locations

* This is a hypothetical scenario for illustrative purposes. All brand references are illustrative only and all data shown is sample data.
❌ How it typically gets planned

The scenario

A digital bank wants to acquire first-year student accounts. Budget: £300k. They're running well in some cities, invisible in others - but don't know which is which, or why.

One national launch date in mid-September

By the time the campaign goes live, students in Edinburgh and Glasgow have already been at university for two weeks. Their banking decisions were made during move-in - before the campaign started.

No visibility on which cities have the most first-year students

Edinburgh, Glasgow, and Manchester have very different first-year PBSA populations - but the campaign treats them equally. Budget is spread evenly across all cities, with no weighting for where the highest-value audience actually is.

Targeting students broadly - not first-years specifically

The highest-value moment is the first weeks of university, when students open their first adult bank account. But the campaign reaches all students equally - including those already locked into a 3-year banking relationship.

✓ With Unifresher Intelligence

Step 1 - Segment to first-years in PBSA

Filter to Year 1, PBSA accommodation. Platform surfaces 192,300 first-year students in halls across 12 priority cities - the moment of highest receptivity for a bank account switch.

Step 2 - Stagger launch by PBSA move-in date

Edinburgh Sep 3 · Manchester Sep 10 · Nottingham Sep 12 · Birmingham Sep 14 · Bath Oct 5. Campaign activates in each city just as students physically arrive - not two weeks later when they've already sorted their finances.

Step 3 - Identify the right cities and timing

The platform surfaces city-level opportunity data: student population size, PBSA move-in windows, and campaign timing by university. The output shows which cities have the highest student concentration and when to activate - so budget goes where it will work hardest.

Step 4 - One brief that covers timing and targeting

Per-city activation dates, PBSA postcode lists, audience sizes, and growth trends. Ready to take to your media agency or run directly on paid social.

192k
Right audience (first-year PBSA only)
32 days
Earlier activation in Edinburgh vs national date
4 cities
High-gap markets identified for reallocation
~£110k
Estimated budget recovered / redirected

Also applies to: Any financial brand targeting first-year account-opening

* This is a hypothetical scenario for illustrative purposes. All brand references are illustrative only and all data shown is sample data.
❌ How it typically gets planned

The scenario

A QSR restaurant chain with 180 UK locations wants to drive student footfall during Freshers. Budget: £120k. They want to reach students near their restaurants - but have no visibility on which sites are actually in student zones.

No data on which locations are near students

Without location intelligence, the brand either runs a broad national campaign (expensive, wasteful) or selects cities based on gut feel and historical sales data. Sites near campuses get the same budget as sites in retail parks with no student footfall.

One national launch date - wrong for most cities

A Sep 15 national launch misses Edinburgh (students arrive Sep 12), is too early for Bath (students arrive Oct 3), and ignores the fact that Freshers spend peaks in the first 48 hours after move-in - not during Welcome Week.

Targeting all 18-24s, not students specifically

City-level targeting of 18-24 year olds reaches a broad demographic - many of whom are not students. The students most likely to visit a QSR in the first week of university are first-years in halls, hungry, unfamiliar with the area, and highly receptive. That specific group is never isolated.

✓ With Unifresher Intelligence

Step 1 - Score every location against student infrastructure

Upload the full 180-location list. Platform matches each against nearby halls (bed counts, distances), campus buildings, and competitor QSR positions. Every site gets a student opportunity score - Tier 1, 2, or 3.

Step 2 - Focus budget on Tier 1 sites

22 locations sit within genuine student zones. 9 are Tier 1 - within 400m of a major hall cluster, no dominant competitor blocking. Budget concentrates here. The other 158 sites don't get student-specific spend.

Step 3 - Per-location activation schedule

Edinburgh: activate Sep 12 · Manchester: Sep 15 · Nottingham: Sep 14 · Bath: Oct 3. Each site goes live two days before students move in nearby - catching the first-week discovery moment, not missing it.

Step 4 - Audience brief: first-years in halls, within 800m

Platform outputs postcode-level targeting zones around each Tier 1 site - the streets where first-year students actually live. Audience filtered to Year 1, PBSA accommodation. Brief ready for paid social, OOH, or delivery platform targeting.

22
Locations worth activating (of 180)
9
Tier 1 sites: 142,000 students in range
Per-site
Activation dates vs one national date
~£65k
Budget not wasted on wrong locations

Also applies to: Any QSR, coffee chain, or food brand with a physical estate wanting to identify and prioritise student-zone locations

* This is a hypothetical scenario for illustrative purposes. All data shown is sample data.

Want to see this for your brand?

We'll run a live demo using your locations, audience, or an existing campaign - 20 minutes.

Budget Calculator

How much of your student marketing budget
could be at risk?

Drag the slider to your annual student marketing spend. We'll show you where budget typically leaks - and how much Unifresher Intelligence can recover.

Your annual student marketing budget
£100,000
£25k£500k
📅 Wrong launch timing £20,000
📍 City-level geo targeting £15,000
🎓 Wrong audience segment £10,000
Potentially recoverable budget
£45,000
Up to 45% of your spend could be at risk from avoidable waste
Budget reaching the right students
£55,000
of your £100,000 could be reaching the right student, at the right time, with the right message
Timing: Edinburgh students arrive Sep 5, Bath Oct 5. A single national launch date misses the window in most cities - up to 40% of Freshers spend lands in empty cities.
Geo targeting: Students cluster in specific postcodes - NG7, LS6, B29. City-level targeting burns 60-70% of impressions on non-students living elsewhere in the city.
Audience: First-years in PBSA halls and second-years in HMOs have completely different needs. Broad "student" targeting misses the segment that can actually convert for your product.
Estimates based on averages across 410 campaigns analysed in 2025. Actual savings vary by brand, category, and campaign type.
Two Modes

Built around how brands actually run student marketing.

Whether you have stores on the ground or serve the country digitally, the platform starts from your reality - not a generic template.

📍 Location Intelligence

Brands with physical locations

Gyms, restaurants, retail, banks, coffee shops. Upload your location list and get a student opportunity score for every store - plus per-store activation dates and competitor visibility.

Every location scored against nearby halls, HMO zones, campus buildings, and competitor positions
Auto-tiered: Tier 1 (high volume, close proximity), Tier 2, Tier 3 - so you know exactly where to focus
Per-store activation windows based on the nearest university Freshers dates, not a national average
Competitor map per location - see exactly who's between you and the campus
Example output*

A gym chain: 396 locations analysed. 12 in student zones. 6 Tier 1, covering 186,800 students. Per-store activation schedule and targeting brief ready to action.

* Illustrative example. Not based on any specific client.
🎯 Audience Intelligence

Digital-first brands

Fintech, streaming, broadband, tech, fashion. Define your audience and get a per-city activation schedule - each city with its own go-live date, audience size, and postcode list.

Segment by year group, accommodation type, subject - the specific students who convert for your category
Per-city go-live dates based on real PBSA move-in data - so you reach students as they arrive, not weeks later
Campaign opportunity calendar: Freshers, loan drops, exam periods, and category-specific moments
Example output*

A broadband provider targeting second-year students moving into HMOs: 14 cities, each with its own go-live date tied to HMO move-in. Manchester Aug 26 · Leeds Sep 1 · Nottingham Sep 8 · Bath Sep 20. Audience filtered to Year 2, HMO accommodation only. 340,000 in-market students vs 1.2M broad student sweep.

* Illustrative example. Not based on any specific client.
Per-university go-live windows - the gap within cities
Nottingham: two universities, two different windows · Sample data*
Move-in
Go-live
In Nottingham alone there are two universities - and their students arrive weeks apart. Knowing this isn't optional; it's the difference between catching the whole market and missing half of it.
UoN - University ParkNottingham · 33,000 students
Move-in Sep 12
Sep 14
NTU - City CampusNottingham · 31,000 students
Move-in Sep 19
Sep 21
National launch
Sep 15
Sep 15
A Sep 15 national launch misses UoN students entirely for 3 days - and NTU students for 6 days. Now multiply that across 55+ universities in 25 cities.

It's not just city by city. It's university by university - and the platform tracks every one.

* Sample data for illustration. Actual term dates updated each term from university sources.
The Intelligence Layer

Proprietary data. Built for student marketing.

Four years in the making. Assembled from dozens of public and private sources, structured, verified, and maintained so you don't have to.

🎓

Student population data

Enrolments by subject, year group, mode of study and domicile - per university and city, with year-on-year growth trends going back multiple years.

🏢

Accommodation intelligence

PBSA locations with verified bed counts, move-in dates per provider, and HMO density zones mapped to street level - not just a postcode radius.

📅

Timing signals

Term dates, Freshers weeks, exam periods, loan drop dates, move-in windows, and campaign-relevant moments - per university, updated every term automatically.

Built on a decade of understanding students. Unifresher exists to help students make the most of university life - from preparing before they arrive, to navigating every city they study in. That closeness to the student experience, across 25 cities and 10+ years, means the Intelligence platform is built on a genuine understanding of how students actually behave, spend, and make decisions - not just what the data says on paper. Combined with performance intelligence from 2,000+ student campaigns, it's a layer no external data provider can replicate.
Why Unifresher Intelligence

Six things that make this different from anything else you've seen before.

📍

Move-in dates - not Freshers week

We verify actual PBSA arrival dates from the major operators. Students are making purchase decisions before Freshers week starts. Brands that wait until then have already missed the moment.

🏬

Every store scored individually

We match each brand location against nearby student infrastructure and score it for genuine opportunity. The output is a per-store brief - not a city-level estimate that still leaves the hard call to you.

📊

Segment intelligence - not just demographics

First-years in PBSA halls, second-years in HMOs, postgraduates, international students - each segment has different locations, different timing, and different conversion triggers. The platform lets you target the exact segment that can actually buy from you, not just "students" as a broad category.

🔁

Campaign benchmarks from 2,000+ campaigns

What does a well-targeted student campaign actually deliver? We know - because we've run them. Your campaign gets benchmarked against hundreds of comparable student campaigns, so you can see whether your results are good or just average.

🔬

Student insight research - what they actually want

Launching Q3 2026: first-party surveys across 10,000+ students. What do students in your category actually care about? What makes them switch? What offer lands? Data you can use to sharpen the message, not just the targeting.

🏛

Use the insight anywhere - including unifresher.co.uk

The targeting brief is yours to use across any channel - Meta, TikTok, Google, OOH, or your agency's DSP. And if you want to activate it on Unifresher's own student platform (unifresher.co.uk - 500,000+ students per month across 25 UK cities), that option is there too.

Built on Unifresher

We built this because we needed it for our own clients.

Unifresher has published localised student content across 25 UK cities for over 10 years. We've run more than 2,000 student campaigns across that time - including 410 in 2025 alone - for brands including Taco Bell, Deliveroo, Vue, Boots, and Aldi.

Every year, we watched brand budgets being spent inefficiently - wrong timing, wrong postcodes, wrong audience split. We built the Intelligence platform because we wanted to change that for our own clients. Now we're making it available to any brand targeting UK students, across any channel.

The platform runs on data that took years to assemble. The campaign intelligence layer is built on what we've actually seen work - and what we've seen fail - across a decade of student marketing.

410+
Campaigns run in 2025
2k+
Total campaigns (10 years)
25
UK cities covered
🏪

QSR & Restaurant chains

Location intelligence: which restaurants are near campuses, which aren't, and when to run student promotions per site.

💳

Fintech & Banking

Audience intelligence: first-year PBSA targeting at the account-opening moment, staggered by city move-in date.

🏋

Fitness chains

Location scoring across full estate: which gyms to activate, when, and with what competitive context.

📦

Delivery, Retail & Streaming

National digital campaigns staggered city by city - replacing single-date national launches with precision timing.

📶

Telecoms & Broadband

Second-year HMO move-in targeting: the exact streets, the right window, before contracts get signed elsewhere.

Early Access

Limited availability.
Be first in.

We're onboarding a small number of brands and agencies ahead of public launch. Early access means your feedback shapes the platform - and your pricing is locked for two years.

🔑
Full platform access before public launch
📌
Priority feature requests built into the roadmap
🔒
Pricing locked for the first two years
📞
Direct line to the product team
📊
First access to student insight reports (Q3 2026)
📺
Option to activate intelligence-led campaigns on Unifresher's own platform

Book a 20-minute demo

We'll run the platform live using your brand's context - locations, audience, or an existing campaign. No slides. No decks. Just the platform.

No commitment. We'll be in touch within 48 hours to arrange a time.