Affiliate marketing continues to grow; Statista recently projected affiliate marketing will reach $8.2 billion in 2022, up from $7.4 billion in 2021.
Building your brand’s affiliate program is key to maximizing profitability in 2022 and beyond. So what is it, how does it work, and why does your brand need it? In this post, we’ll dig into the following questions:
Affiliate marketing is a performance-based marketing channel that helps drive purchasing decisions without upfront advertising costs.
As a marketing channel, affiliate allows publishers, creators, influencers, or any other third party to facilitate a customer’s purchasing decision.
For example, a potential customer can come to a publisher site like Rakuten and be prompted to click the brand’s affiliate link for a cash-back discount.
Affiliate programs can also increase long-term customer engagement by incentivizing existing customers to join loyalty programs or subscription services.
Brands and businesses can create their own affiliate program or join existing affiliate networks like Rakuten, Impact, or CJ to promote and track sales.
Affiliate marketing strategy can be used across channels, but its success depends on individual publishers’ ability to drive conversions for a brand.
Affiliate partners take on all the risk associated with front-facing content while brands only have to pay when a purchase is actually made, which often makes affiliate more cost-effective than both CPM and CPC tactics.
Technically, there are two types of affiliate marketers: publishers and brand marketers.
Publishers create content, build word-of-mouth networks, and find their own unique methods for driving high-quality traffic with strong purchase intent to a brand’s affiliate offer.
Most brands, networks, and affiliate programs will provide publishers with custom codes and links to give to their audiences to facilitate purchases.
Brand Marketers are in-house or agency experts who arrange deals with publishers, choose appropriate affiliate networks or programs and develop winning strategies to maximize a brand’s revenue.
The best brand marketers will audit a company’s current programs and find pain points along the customer journey that can be solved by affiliate marketing. Such challenges can include abandoned carts, high bounce rates on landing pages, and competitor traffic.
Brand marketers also build program-specific strategies while managing third-party promotions and publisher material to ensure quality alignment with the company’s brand image.
Related: Proven Affiliate Strategies to Unlock Growth in Q4
Put simply, without an affiliate program, your brand is missing out on potential sales and customers.
One group brands can effectively target with affiliate marketing is abandoned cart users. 70% of users who abandon a cart can be targeted and converted through affiliate solutions provided by publishers.
For example, a user who previously added items to their cart but failed to complete a purchase may be served affiliate content from strong publishers like CNN or or the New York Times on a pay-for-performance basis.
But it doesn’t stop there.
Affiliate can operate across channels in almost any part of a user’s path to purchase, using content ranging from editorials to influencer posts to coupon sites. Brands can even generate affiliate sales through coupon sites like Honey and RetailMeNot.
Affiliate programs do more than sweeten a deal for consumers; they bring in untapped and undiscovered customers for your products by associating your brand with your chosen publishers.
Higher Potential ROAS: Affiliate payouts almost always occur upon conversions, not clicks or views, which means your ROAS is going to be generally higher on affiliate than most other channels.
The primary cost associated with affiliate is publisher commission. On CPC you could be paying $1/click, but conversions fluctuate; in affiliate, you’re only paying after the conversion happens.
Incremental Payouts: The structure of affiliate leads to steady growth over time without expensive start-up or ongoing costs.
Few Risks, Big Rewards: When using affiliate programs, brands can mitigate the risk associated with customer acquisition by offloading the heavy lifting to publishers.
Publishers will also decrease the cost of creating custom content (if a brand has effective program guidelines).
Overall Marketing Effectiveness: The benefits of affiliate can be seen across channels. For example, affiliate deals can be used in influencer campaigns, in retargeting ads, and on specific email segments.
Want a step-by-step guide to building a standout affiliate program? Click here to download our free eBook.
Affiliate marketing and affiliate programs often have an unwarranted bad rep. Here are some top misconceptions and why they don’t actually reflect the power of good affiliate marketing:
Misconception #1: Affiliate is Scammy
Let’s be honest: the internet is littered with low-quality affiliate links. But this doesn’t define affiliate as a whole.
Affiliate management teams must pick the best-of-the-best partner mix for specific brands to ensure partnerships do not dilute brand reputation.
Appearance matters when it comes to choosing affiliate partners as well. How a publisher, creator, or any other purchasing mediator looks should drive customers toward, not away from, brands.
Misconception #2: Affiliate Only Works With Coupons and Decreases Profitability
Running coupons with affiliates is a popular brand tactic and a strong offer strategy for engaging affiliate audiences. However, it’s not the be-all-end-all of affiliate marketing.
There are a number of other levers, including cashback and custom editorial content, which have proven to drive significant revenue.
Affiliate coupons are just one of the ways brands can partner with publishers. Coupons are typically not necessary with lower-funnel publishers, which gives brands more control over messaging.
Misconception #3: Affiliate Doesn’t Provide Measurable Incrementality
Contrary to popular belief, affiliate marketing can be an incredible driver of both measurement and incrementality.
In affiliate marketing, you partner with who you want, meaning you can choose network partners like Impact and Rakuten that provide incremental measurement analytics that fit your brand’s needs.
Recent developments in consumer journey reporting and commission-splitting allow you to lean more heavily on publishers that are able to hit your targeted KPIs.
A good affiliate program will educate brands on the business plans of different affiliates.
It’s up to you to decide on who you want to partner with and what’s important to your program/brand.
Related: What Is Lifecycle Marketing? Creating the Path to Loyal Customers
Brands can impact all parts of the funnel with affiliate marketing. Where it lies on your customer’s journey depends largely on your industry, business goals, and the type of affiliate partners in your program.
Some partners can introduce your brand to shoppers and drive traffic, while others are more focused on driving conversions.
Savvy online shoppers who are doing their background research before making purchasing decisions are likely to use affiliate marketing.
These shoppers prefer to read recommendations for products and scan for coupon codes before committing to a purchase.
Clever shoppers require incentives before making informed purchases. As a result, affiliate marketing tends to be the best bottom-of-funnel strategy for securing a purchasing decision.
Affiliate is ideal for brands who are open to affiliate-specific negotiation/optimization levers such as exclusive offers, vanity codes, and TM+.
It’s also optimal for businesses with an active performance marketing team and a history of data for efficient placement optimization.
As a channel, affiliate tends to work better with brands that allocate a flat spend budget for the highest-exposure opportunities and brands that run consistent newness or promotions that facilitate constant communication with publishers.
Preferably, a brand should understand how affiliate fits into business KPIs and have a vested interest in establishing meaningful partnerships while listening expertise around what publishers are projected to drive growth
Besides the above considerations, ask yourself these questions before diving into affiliate marketing:
1. Do you have existing site traffic/brand awareness?
If not, this is something you can build, but it will slow down the launch and scale process of affiliate programs.
2. Do you have the ability to have 10+ offers or CTAs?
These can vary from evergreen email sign-ups, to free shipping, to category or collection callouts, to product launches. Without a list of CTAs, a publisher will have fewer chances to earn traffic and conversions for your brand and will be less likely to partner with you.
3. Does your brand have a variety of products?
Without a variety of products, it is difficult to scale affiliate marketing. It will take more robust recruitment and promotion strategies to run an effective program.
Usually, a consumer finds an affiliate and clicks on their content, taking them to your site. This process is tracked using affiliate tracking links.
Next, a customer completes a purchase or takes a desired action (“converts”) on the advertiser’s website.
Finally, an affiliate network tracks the conversions and provides payment methods for the advertiser to pay the publisher a commission (CPA).
Want a step-by-step guide to building a standout affiliate program? Click here to download our free eBook.
Get industry insights and news directly to your inbox.
Thank you. Check your email for details on your request.
Cookie | Duration | Description |
---|---|---|
__hssrc | session | This cookie is set by Hubspot whenever it changes the session cookie. The __hssrc cookie set to 1 indicates that the user has restarted the browser, and if the cookie does not exist, it is assumed to be a new session. |
checkForPermission | 10 minutes | This cookie is set by Beeswax to determine whether the user has accepted the cookie consent box. |
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie. |
elementor | never | This cookie is used by the website's WordPress theme. It allows the website owner to implement or change the website's content in real-time. |
JSESSIONID | session | The JSESSIONID cookie is used by New Relic to store a session identifier so that New Relic can monitor session counts for an application. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
__cf_bm | 30 minutes | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
__hssc | 30 minutes | HubSpot sets this cookie to keep track of sessions and to determine if HubSpot should increment the session number and timestamps in the __hstc cookie. |
bcookie | 2 years | LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser ID. |
bscookie | 2 years | LinkedIn sets this cookie to store performed actions on the website. |
lang | session | LinkedIn sets this cookie to remember a user's language setting. |
lidc | 1 day | LinkedIn sets the lidc cookie to facilitate data center selection. |
UserMatchHistory | 1 month | LinkedIn sets this cookie for LinkedIn Ads ID syncing. |
Cookie | Duration | Description |
---|---|---|
_uetsid | 1 day | Bing Ads sets this cookie to engage with a user that has previously visited the website. |
_uetvid | 1 year 24 days | Bing Ads sets this cookie to engage with a user that has previously visited the website. |
Cookie | Duration | Description |
---|---|---|
__hstc | 1 year 24 days | This is the main cookie set by Hubspot, for tracking visitors. It contains the domain, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session). |
__lotl | 5 months 27 days | This cookie is set by Lucky Orange to identify the traffic source URL of the visitor's orginal referrer, if any. |
_ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
_gcl_au | 3 months | Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services. |
_gd_session | 4 hours | This cookie is used for collecting information on users visit to the website. It collects data such as total number of visits, average time spent on the website and the pages loaded. |
_gd_svisitor | 2 years | This cookie is set by the Google Analytics. This cookie is used for tracking the signup commissions via affiliate program. |
_gd_visitor | 2 years | This cookie is used for collecting information on the users visit such as number of visits, average time spent on the website and the pages loaded for displaying targeted ads. |
_gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
_hjAbsoluteSessionInProgress | 30 minutes | Hotjar sets this cookie to detect the first pageview session of a user. This is a True/False flag set by the cookie. |
_hjFirstSeen | 30 minutes | Hotjar sets this cookie to identify a new user’s first session. It stores a true/false value, indicating whether it was the first time Hotjar saw this user. |
_hjIncludedInPageviewSample | 2 minutes | Hotjar sets this cookie to know whether a user is included in the data sampling defined by the site's pageview limit. |
_lo_uid | 2 years | This cookie is set by Lucky Orange as a unique identifier for the visitor. |
_lo_v | 1 year | This cookie is set by Lucky Orange to show the total number of visitor's visits. |
_lorid | 10 minutes | This cookie is set by Lucky Orange to identify the ID of the visitors current recording. |
hubspotutk | 1 year 24 days | HubSpot sets this cookie to keep track of the visitors to the website. This cookie is passed to HubSpot on form submission and used when deduplicating contacts. |
IR_gbd | session | Impact Radius sets this cookie to store a unique ID which is used to identify the user's device, when they return to the websites that used the same network. |
Cookie | Duration | Description |
---|---|---|
__qca | 1 year 26 days | The __qca cookie is associated with Quantcast. This anonymous data helps us to better understand users' needs and customize the website accordingly. |
_fbp | 3 months | This cookie is set by Facebook to display advertisements when either on Facebook or on a digital platform powered by Facebook advertising, after visiting the website. |
_mkto_trk | 2 years | This cookie, provided by Marketo, has information (such as a unique user ID) that is used to track the user's site usage. The cookies set by Marketo are readable only by Marketo. |
B | 1 year | This Cookie is used by Yahoo to anonymously store data related to user's visits, such as the number of visits, average time spent on the website and what pages have been loaded. This data helps to customize website content to enhance user experience. |
bito | 1 year 1 month | This cookie is set by Beeswax for advertisement purposes. |
bitoIsSecure | 1 year 1 month | Beeswax sets this cookie for targeting and advertising. The cookie is used to serve the user with relevant advertisements based on real time bidding. |
fr | 3 months | Facebook sets this cookie to show relevant advertisements to users by tracking user behaviour across the web, on sites that have Facebook pixel or Facebook social plugin. |
mc | 1 year 1 month | Quantserve sets the mc cookie to anonymously track user behaviour on the website. |
MUID | 1 year 24 days | Bing sets this cookie to recognize unique web browsers visiting Microsoft sites. This cookie is used for advertising, site analytics, and other operations. |
test_cookie | 15 minutes | The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies. |
tuuid | 2 years | The tuuid cookie, set by BidSwitch, stores an unique ID to determine what adverts the users have seen if they have visited any of the advertiser's websites. The information is used to decide when and how often users will see a certain banner. |
tuuid_lu | 2 years | This cookie, set by BidSwitch, stores a unique ID to determine what adverts the users have seen while visiting an advertiser's website. This information is then used to understand when and how often users will see a certain banner. |
Cookie | Duration | Description |
---|---|---|
__pdst | 1 year | No description available. |
_an_uid | 7 days | No description available. |
_dc_gtm_UA-61749619-1 | 1 minute | No description |
_dlt | 1 day | No description |
_hjSession_1771567 | 30 minutes | No description |
_hjSessionUser_1771567 | 1 year | No description |
_nx-nocache | session | No description available. |
6suuid | 2 years | No description available. |
A3 | 1 year | No description |
ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/ | session | No description |
AnalyticsSyncHistory | 1 month | No description |
BIGipServerab44web-nginx-app_https | session | No description |
bounceClientVisit3783c | 30 minutes | No description |
bounceClientVisit3783v | 30 minutes | No description |
dgzsdl08v4 | 10 minutes | No description |
IR_11658 | session | No description |
li_gc | 2 years | No description |
tableau_locale | session | No description available. |
tableau_public_negotiated_locale | session | No description available. |
test | 1 year | No description available. |