Type: Report | Subject: Marketing | Level: Undergraduate | Word Count: ~2200 words
This model report was produced by an Essays UK specialist as reference material for learning purposes only. For support in this field, see our marketing assignment specialists.
As a placement analyst in the marketing team of a digital-first UK bank, prepare a campaign performance report evaluating the recent student account launch campaign. Your report should assess performance against target across all channels used, analyse the drivers of strong and weak results, and recommend improvements for the next university intake cycle.
This report evaluates the performance of the Northrise Bank student account launch campaign, delivered across the 2025/26 university intake period to acquire new student current account holders. The campaign combined paid social media advertising, a campus ambassador programme, and a peer referral incentive across twelve partner universities. Against a target of 4,500 new accounts, the campaign generated 5,140 verified sign-ups, a 14 per cent overachievement, while cost per acquisition fell 18 per cent below the marketing budget forecast. Engagement on social channels exceeded benchmark rates, though conversion from application to funded account lagged behind target in the first six weeks before improving following a simplified onboarding flow. This report sets out the campaign method, presents the key performance data, discusses the drivers behind strong and weak channel performance, and recommends adjustments for the following intake cycle, including earlier campus activation and a revised referral incentive structure.
Student banking is a highly contested acquisition market in the United Kingdom, with high-street and digital-first providers competing intensely during the September to October enrolment window, when most new students open their first independent current account (UK Finance, 2024). Established high-street banks typically compete on free railcards and welcome cash incentives, while digital-first challengers, including Northrise Bank, tend to compete on account features such as spending controls, budgeting tools, and fee-free overseas transactions, since matching a large incumbent’s cash incentive budget is not commercially viable for a smaller provider (Chaffey and Ellis-Chadwick, 2022). Northrise Bank, a digital-first UK current account provider, launched a dedicated student account product in the previous financial year and commissioned this campaign to build market share ahead of established competitors during the 2025/26 intake. The campaign objective, as set by the marketing director, was to acquire 4,500 new funded student accounts within a ten-week activation window at a cost per acquisition no higher than £32, while building brand awareness among first-year undergraduates at twelve partner universities across England, Scotland, and Wales. A secondary objective, agreed with the product team, was to gather structured feedback on the account-opening experience that could inform product development beyond the immediate campaign. This report has been prepared for the marketing leadership team to evaluate whether the campaign met its commercial objectives, to identify which channels and tactics drove performance, and to provide evidence-based recommendations for the next intake cycle. The report follows a structured format, beginning with the method used to plan, deliver, and measure the campaign, followed by the findings drawn from campaign analytics and account-opening data, a discussion of the factors behind the results, and a set of prioritised recommendations.
The campaign ran for ten weeks from the first week of September to the second week of November, split into a pre-launch awareness phase, a peak-intake acquisition phase, and a late-intake retention-focused phase targeting students who had registered interest but not yet opened an account. Three channels were deployed in parallel. First, paid social media advertising on Instagram and TikTok used short-form video content featuring real Northrise student customers describing account features such as fee-free overseas spending and instant spending notifications, with adverts geo-targeted to postcodes surrounding the twelve partner universities. Second, a campus ambassador programme recruited thirty-six student ambassadors, three per university, who hosted stalls during freshers’ fairs, distributed referral codes, and posted organic content on personal social channels in exchange for a fixed fee and a performance bonus tied to verified sign-ups. Third, a peer referral scheme offered both the referrer and the new customer a £15 reward once the new account received a qualifying deposit of £500 within thirty days of opening. Performance was tracked using the marketing analytics platform for paid media metrics, referral codes captured at account opening to attribute the referral channel, and the core banking system to confirm which applications converted into funded, active accounts rather than applications alone. Cost per acquisition was calculated as total campaign spend divided by verified funded accounts, and channel-level return on investment was estimated using average first-year account revenue reported by the finance team. Weekly reporting reviews allowed budget to be reallocated between channels during the campaign based on emerging performance data, which is reflected in the spend figures presented in the findings.
Table 1 summarises headline campaign performance against target across the three channels and the overall campaign result. The campaign delivered 5,140 verified funded accounts against a target of 4,500, at a blended cost per acquisition of £26.40 against a £32 ceiling, representing an 18 per cent saving per acquisition relative to budget. Social media advertising was the highest-volume channel, contributing 2,260 accounts, but carried the highest cost per acquisition of the three channels. The campus ambassador programme delivered the strongest cost efficiency, at £19.80 per acquisition, reflecting the low fixed cost of the programme relative to volume once ambassadors were embedded on campus. The referral scheme grew steadily across the campaign as the customer base receiving referral codes expanded, and it produced the highest estimated return on investment once first-year account revenue was factored in, because referred customers showed higher initial deposit values on average than customers acquired through paid social media.
| Channel | Accounts Acquired | % of Total | Cost per Acquisition | Est. ROI Rating |
|---|---|---|---|---|
| Paid Social Media | 2,260 | 44% | £32.50 | Moderate |
| Campus Ambassador Programme | 1,890 | 37% | £19.80 | High |
| Referral Scheme | 990 | 19% | £25.10 | Highest |
| Total / Blended | 5,140 | 100% | £26.40 | — |
Weekly application volume shows a distinct pattern. Applications were low in the first two weeks, coinciding with the pre-launch phase before most ambassadors were active on campus, rose sharply from week three as freshers’ fairs took place across the partner universities, peaked in weeks four and five, and then declined gradually through the remainder of the campaign as the pool of newly enrolled students without an account narrowed. Conversion from application submitted to account funded, however, lagged target in the first six weeks, averaging 61 per cent against a target of 72 per cent, before rising to 79 per cent in the final four weeks. Analysis of the account-opening funnel indicated that a substantial share of early drop-off occurred at the identity verification step, where the original process required applicants to upload documents and wait up to 48 hours for manual review. A simplified in-app verification flow was introduced in week seven, after which the conversion rate improved and stabilised above target for the remainder of the campaign.
Engagement metrics on paid social media exceeded the benchmark set from the prior product launch. Average video completion rate on TikTok was 38 per cent against a 25 per cent benchmark, and click-through rate on Instagram Stories adverts was 2.1 per cent against a 1.4 per cent benchmark, suggesting the creative featuring real student customers resonated more strongly than the generic product-feature adverts used previously. Brand awareness, measured through a post-campaign survey of 400 students across the partner universities, showed unprompted awareness of Northrise Bank rising from 11 per cent before the campaign to 34 per cent afterwards.
Figure 1 illustrates the acquisition funnel across the full campaign, from total campaign reach through to funded accounts. Of an estimated reach of 210,000 students across paid and organic channels, 41,200 engaged with campaign content by clicking through, visiting the ambassador stall, or using a referral link, of whom 6,850 began an application, and 5,140 completed a funded account. The largest single drop-off point in the funnel, proportionally, occurred between engagement and application start, indicating that while the campaign was effective at capturing attention, converting that attention into the more considered decision to begin a financial product application remains the hardest step to influence through advertising alone. The smaller drop-off between application start and funded account, concentrated in the first six weeks as noted above, is addressed further in the discussion below.
The overachievement against the account-opening target can be attributed principally to two factors: the strength of the campus ambassador programme, and the mid-campaign fix to the identity verification step in the onboarding funnel. The ambassador programme’s cost efficiency reflects a wider pattern observed in student financial services marketing, in which peer-to-peer credibility outperforms brand-led advertising for a demographic that is highly attentive to social proof from people in a similar life stage, and sceptical of overtly commercial messaging from financial institutions (Duffett, 2020; De Veirman, Cauberghe and Hudders, 2017). This is consistent with the survey finding that students most frequently cited “recommendation from a friend or ambassador” as their primary reason for choosing to apply, ahead of “saw an advert online,” and echoes established customer-journey research showing that peer touchpoints carry disproportionate weight relative to their cost at the consideration stage (Lemon and Verhoef, 2016).
The early conversion shortfall illustrates the operational risk of running an acquisition campaign that depends on a smooth digital onboarding journey without first stress-testing that journey under peak demand. The 48-hour manual verification delay is a plausible explanation for the low early conversion, since behavioural research on account-opening consistently shows that intent decays quickly once an applicant is asked to wait, and competing providers offering same-day account opening create an easy alternative for an undecided student. The recovery in conversion following the simplified verification flow supports this interpretation, though it should be treated as an association rather than confirmed causation, since the recovery also coincided with the natural narrowing of the applicant pool to more committed, later-stage decision-makers.
The strong engagement metrics on social media, particularly the outperformance of ambassador-style creative featuring real customers, suggest that authenticity of messaging matters more to this audience than production quality or reach alone, a pattern that aligns with broader shifts in social media marketing toward creator-led and user-generated content over polished brand advertising (Solomon, 2020). However, the higher cost per acquisition on paid social relative to the ambassador channel raises a question about the efficient allocation of the paid media budget, since a channel that reaches a wider audience is not necessarily the most cost-effective channel for driving a specific, high-intent conversion action such as opening a bank account.
A further point of discussion concerns the measurement approach itself. Attribution across three simultaneous channels is imperfect, since a student who saw a paid advert, later spoke to an ambassador, and finally applied using a referral code would, under the attribution rules used here, have their account credited only to the referral channel through which the code was captured at application. This means the reported contribution of paid social media and the ambassador programme may understate their true influence on the decision to apply, even where the referral scheme receives the final attribution. This is a common limitation in multi-channel campaign measurement and should be treated as a caveat when using the channel-level figures in Table 1 to guide budget allocation decisions, rather than as a precise causal breakdown of channel effectiveness.
Four recommendations follow from these findings for the next intake cycle. First, the campus ambassador programme should be expanded from three to five ambassadors per partner university and activated two weeks earlier, before the freshers’ fair period, given its superior cost efficiency and its influence on stated reasons for application. Second, the identity verification step should be redesigned as an in-app, largely automated process from the outset of the next campaign rather than as a mid-campaign fix, to avoid repeating the early conversion shortfall and the associated loss of applicants who abandoned the process during the manual review period. Third, in line with established guidance on allocating budget toward the most cost-efficient touchpoints rather than the highest-reach channel by default (Kotler and Keller, 2021; Ryan, 2021), paid social media budget allocation should shift further toward ambassador-style, creator-led video content and away from generic product-feature adverts, based on the clear engagement gap observed between the two creative approaches during this campaign. Fourth, the referral scheme’s reward structure should be reviewed to test whether a higher reward, or a tiered reward for multiple successful referrals, would further increase the volume of referred sign-ups, given that this channel already shows the strongest estimated return on investment per account acquired.
The Northrise Bank student account launch campaign exceeded its account-opening target and delivered a lower cost per acquisition than budgeted, driven primarily by the campus ambassador programme and, after a mid-campaign process fix, by an improved conversion rate through the onboarding funnel. The findings indicate that peer-led and creator-style engagement outperformed conventional paid advertising for this audience on both engagement and cost-efficiency measures, while also exposing an operational weakness in the original identity verification process that constrained early performance. Applying the recommendations above, particularly the earlier and larger campus ambassador activation and the redesign of the verification step ahead of launch rather than during it, should allow the next campaign to reach a comparable or larger cohort at a further reduced cost per acquisition, while reducing the risk of early-campaign conversion loss.
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