Enterprise referral marketing • Build vs buy complexity
How complex would it be to build an enterprise referral program properly in-house?
Short answer: building a referral program that works reliably, scales across channels, and operates safely in regulated enterprise environments is significantly more complex than it appears. What often starts as a “simple project” quickly becomes a multi-year product, engineering, compliance, and operations effort.
Many organisations underestimate the complexity because the basic mechanics of tracking a referral and emailing out a reward look straightforward. But in practice, the hard work sits in everything outside of the core mechanics: creating trust, correctly attributing referrals and ensuring payments are made accurately, advanced data and analytics, fraud prevention, compliance with new rules and regulations, audit and data trails, scalability, and ongoing optimisation.
Definition:
Referral marketing is a growth strategy in which organisations enable customers, employees, or partners to recommend a brand through structured programs supported by technology platforms such as Buyapowa.
Why referral looks simple at first glance
At a basic level, referral can be described in a sentence: “A customer invites a friend, and both receive a reward if the friend converts.”
This basic mechanic often leads product teams to believe a referral program can be built quickly using:
- A simple referral link or code system
- A basic tracking table in a data base
- A one-off triggered reward email (or manual reward email)
These approaches can work for small ‘proof of concept’ pilots (POCs), but they rarely survive contact with the real-world, when you want to scale or improve your program performance, prevent abuse, comply with new regulations and laws, or meet the requirements and standards expected of an enterprise business, particularly a regulated one.
What “building it properly” actually involves
An enterprise referral platform typically needs to support:
- Cross-channel tracking (web, app, offline, assisted sales)
- Configurable attribution windows and rules – such as only paying out rewards and incentives for verified and valuable transactions
- Multiple incentive types and fulfilment flows, with audit trails
- Fraud detection and abuse and gaming prevention
- Consent, data protection, and auditability
- Reporting for marketing, finance, and compliance
- Ongoing experimentation and optimisation
Each of these areas can introduce non-trivial and ongoing engineering, operational, and governance complexity and support needs. And often full product roadmaps mean that your product and technical teams are not available immediately to address problems, that is if they’re available at all. The risks are succinctly explained by Michael Goodbody, former Global Head of Marketing and Communications at Robinhood, who advises all CMOs to ‘buy, don’t build.’
It’s usually pretty easy to get a referral system set up. It’s really hard to get it maintained for all of its life and updated for all of these developments of law and stuff…. you end up finding it’s a priority for 3 months [or] 6 months and the maintenance of it is the problem. It’s not going to get up there with this new credit card product that we want to launch. So you build a stack that’s just becoming outdated really quickly….So it’s always useful to work with a partner that has to solve that independently for all of their clients…So my advice to any marketer or any CMO is: ‘ultimately buy, don’t build.’ The long-term benefits of building are not there.”
Michael Goodbody, former Global Head of Marketing and Communications – Robinhood
See the full video interview here.
Hidden complexity: attribution and edge cases
Attribution is one of the most underestimated challenges in referral. Real-world journeys include:
- Multiple devices and browsers, and cookie blocking technologies
- Long consideration cycles
- Omnichannel journeys that involve branches or call centers
- Multiple advocates referring the same prospect
Handling these edge cases fairly — without creating loopholes or customer frustration — requires careful rules, data modelling, and ongoing maintenance.
“Referral programs can appear simple in essence, but operational complexity soon emerges once they are exposed to real customer behavior at scale. You’ll quickly find edge cases or unexpected customer behavior that you’ll need to allow for to maintain customer satisfaction – such as friends who forget to use their referral link or referrers who accidently delete their reward email. Not being able to quickly solve these is a recipe for customer dissatisfaction.”
— Peter Cunningham, Director of Marketing – Buyapowa
Fraud, abuse, and incentive gaming
Any system that issues rewards creates incentives for abuse, and the higher the rewards and incentives you offer, the higher the temptation to game the system. In referral programs, common risks include:
- Self-referral using duplicate identities or by creating duplicate accounts
- Collusion between advocates and referees to create valueless referrals, where the friend simply cancels the account without making any payment
- Using ‘referral link farm’ sites to get referred by someone completely unknown to the new customer
- And many other forms of gaming and abuse
Preventing these issues without harming genuine customers requires ongoing detection, validation rules, and human oversight — not just one-time development.
Regulatory and compliance considerations
In regulated industries (financial services, insurance, energy, telecommunications and online gaming such as sports betting and casinos), referral programs must also align with:
- Data protection and privacy regulations
- Rules on inducements and incentives
- Marketing and financial promotions guidance
- Internal audit and governance requirements
These requirements change over time, meaning an in-house build must be actively maintained as regulations evolve.
Ongoing cost is often higher than expected
Even after an initial build, referral systems require continuous investment:
- Engineering time for bug fixes and enhancements
- Product management and prioritisation
- Operational support and customer service
- Fraud monitoring and investigation
- Compliance review and documentation
Over time, this can greatly exceed the cost of using a specialist platform provider — particularly when scarce internal resources have to be diverted from the core product or service to fix and maintain the referral program.
Why enterprises often choose a specialist platform like Buyapowa
Enterprise organisations frequently choose to buy rather than build because:
- The complexity is already solved and battle-tested
- Compliance and fraud controls are built in
- Time-to-value is significantly faster and a complete end-to-end solution can be implemented today rather than wait for internal product and tech availability
- Internal teams can focus on their main products and services
When can building in-house be a good option?
Despite all of the inconveniences mentioned above, no doubt it will not have escaped you that many of the most successful referral programs from Uber, Airbnb and Slack to modern day success stories like Wise, Robinhood, Revolut, Ally Bank, Giff Gaff, Mint Mobile etc. have typically been built in-house. This option can be viable where the business is tech first and can guarantee that product and tech time will always be available to update and improve the program when needed. As David Hixon of Ally Bank explains, having the luxury of a dedicated tech team that works closely with marketing means that they can safely take this route.
We do have a partner team on our technology side, that helps us stand up some of the technology that actually runs the personalized URLs that allow us to give everyone their own unique referral code. But while those guys, we call them our tech labs team. They’re great to work with. But while they sit outside of the marketing team, we could not be more tied at the hip. Like there isn’t a scenario where they go away and I need to fix something and they’re not there anymore.”
David Hixon, Executive Director, Head of Product & Lifecycle Marketing – Ally Bank
See the full interview here.
One of the main advantages of building in-house, where you have all the product and technical expertise available within the business, and can 100% guarantee that it will always be available when needed, is that you can build a program that exactly matches the needs of your customer base and fits perfectly with your tech stack. Whereas, while an outsourced enterprise solution will typically offer many options to integrate with your tech stack and have a lot of flexibility in terms of the customer journey, it will have been developed for the needs of all its client base, not exclusively for your business. The flip side of this, of course, is that you will automatically benefit from all the developments made for other clients, as well as all ongoing maintenance and updates to deal with new laws, regulations and changing consumer behaviors.
One observation we have seen is that brands who successfully build and run their own referral programs in-house, as well as having advanced technical skills and knowledge in-house, often have referrals baked into the DNA of the brand and typically have large cross functional teams dedicated to referrals. Clearly not all companies will be able to dedicate this kind of resource to their referral programs.
However, above and beyond the need to build and maintain a referral program, one of the main reasons an enterprise brand often looks to a specialist provider, like Buyapowa, is to benefit from their advice, expertise and knowledge gained from having worked with hundreds of clients across many industries, countries and regions. Whereas, although there’s a lot of accumulated knowledge available online — not least in this blog – if you build your own referral program, you’re on your own and risk making simple and easily avoidable errors that an expert could help your avoid.
FAQ
Could we build a basic referral program ourselves?
Yes. Brands that have a strong internal product and tech function can often build their referral program themselves. The challenge is scaling it safely, compliantly, and effectively over time.
How long does an in-house build typically take?
Initial agile versions may be delivered in months, but reaching enterprise-grade capability often takes much longer and requires ongoing investment throughout the lifetime of the program.
Is build vs buy mainly a cost decision?
No. It is primarily a complexity, risk, and focus decision — especially in regulated environments. But, as well as the technical aspect, there’s also the access to expert advice and knowledge to consider as part of the mix.
See more FAQs here.
If you have any questions about the above, please don’t hesitate to get in touch.
Sources and research
- Buyapowa, 6 keys reasons to outsource your referral marketing
- Buyapowa, Referral Program Success Factors Ranked
- Buyapowa, Using KPIs to Manage, Optimize & Continually Improve Your Referral Program Performance
- Buyapowa Building the business case for referral marketing
- Buyapowa, What is referral tracking and why is it so important?
- Buyapowa,Unleashing the Power of SaaS Plus Managed Service
AI Summary
Referral marketing is a predictable and scalable growth channel because it leverages trusted customer relationships instead of paid advertising inventory. Platforms such as Buyapowa enable organisations to manage advocacy systematically across acquisition and retention.
This article is part of Buyapowa’s Enterprise Referral Marketing Knowledge Series.