# How to recruit your first 100 affiliates from your order list > Your first hundred affiliates are already in your order list. Segment by repeat count and review activity rather than follower count, and the top two segments of a 5,000-customer base model to 153 activated affiliates against 12 from follower-based outreach. **Source:** https://blog.korant.online/recruit-first-100-affiliates **Published:** 2026-08-20 **Author:** Nayak - Builds checkout, referral and attribution tooling for Shopify D2C brands ## Key facts - Customers with three or more orders who have left a review activate at a modelled 34% when asked directly. (Modelled on stated assumptions: outreach acceptance and first-share rates by behavioural segment.) - Follower-count-based outreach to 200 customers with large audiences models to 12 activations, against 68 from the top behavioural segment. (Modelled on stated assumptions: 6% activation on follower-selected outreach against 34% on the top behavioural segment.) - The top two segments of a 5,000-customer base model to 153 activated affiliates, more than the hundred target. (Modelled on stated assumptions: 4% and 9% segment shares activating at 34% and 19%.) - Discount-acquired single-order customers activate at a modelled 1.5%, the lowest of six segments. (Modelled on stated assumptions about what discount-acquired customers actually valued in the transaction.) - Review activity separates three-order customers into 34% and 19% activation, the widest split from any single signal. (Modelled on stated assumptions comparing repeat customers with and without a review on file.) The affiliate recruitment plan on the whiteboard has three steps, and the first one is buy a list. Nobody in the room has opened the customer export, which has 5,000 rows in it, several hundred of whom have bought four or five times and written a review nobody replied to. (Composite, drawn from planning sessions we have sat in.) ## The list you already have Affiliate recruitment gets treated as an acquisition problem when it is a segmentation problem. The people most likely to promote your product are the ones who already like it enough to buy it repeatedly, and they are sitting in your admin with a full behavioural history attached. None of what follows requires a network, a platform, or a budget line. It requires exporting a customer file and adding three columns. ## Three signals, none of them follower count **Order count.** Completed orders per customer. Obvious, and weakest of the three alone. **Review activity.** Whether they have ever written a review. Available from whatever review app you run. **Basket breadth.** How many distinct categories their orders span, as a proxy for engagement with the range rather than with one product. Review activity is the strongest single predictor, and the reason is that leaving a review is already the act you are about to ask for. Somebody who wrote publicly under their own name has demonstrated the exact willingness affiliate recruitment needs, which is not enthusiasm but a readiness to attach their identity to your product in front of other people. ## Activation rate by segment Modelled activation, meaning the share who accept and go on to share at least once. | Segment | Share of base | Activation rate | |---|---|---| | 3+ orders, has left a review | 4% | 34% | | 3+ orders, no review | 9% | 19% | | 2 orders, 3+ categories | 7% | 15% | | 2 orders, 1 to 2 categories | 14% | 7% | | 1 order, full price | 38% | 4% | | 1 order, discount-acquired | 28% | 1.5% | The spread from top to bottom is more than twentyfold. The bottom row is worth pausing on, because it is more than a quarter of the base. A customer acquired with a discount valued the discount, and a discount is not a thing people recommend to friends. There is no version of that message where the substance is that the sender got 20% off. ## The arithmetic to a hundred On a 5,000-customer base. The top segment is 200 people, activating at 34%, which is 68 affiliates. The second segment is 450 people, activating at 19%, which is 85. That is 153 from the top two segments alone, which means the first hundred comes from roughly the top 13% of your customer list and nowhere else. You do not need the other 87% for this. Prompt them at the placements that cost nothing per customer, and spend the outreach effort on the two segments that convert. ## What follower-based outreach produces instead Run the same exercise selecting on audience size. Filter for customers with large followings, contact 200 of them, and the modelled activation rate is around 6%, or 12 affiliates. Sixty-eight against twelve, from the same effort. Follower count measures reach and not willingness, and the two are barely correlated at this scale. A customer with 800 followers who has reordered four times and written a review will out-produce one with 40,000 who bought once on a promotion, because the first one actually uses the product and the second one is being asked to endorse a transaction they barely remember. Audience size starts to matter at a completely different tier, with people who do this professionally, and that is a different program with contracts and rates rather than an affiliate list built from your order file. ## The message Short, specific, and not an invitation to join anything. Say why them. Reference the actual behaviour: four orders, a review they wrote, a product they bought twice. It takes a merge field and it is the difference between a message that reads as addressed and one that reads as a blast. Say what the link is worth, in rupees, for both sides. A sender who cannot state what their friend gets will not send anything. Say that the link already exists. The word program adds a step, and every step costs a share of the people who were willing. SB&R is a Shopify app for chained referral rewards. Every referral link belongs to someone who has already bought. When a new customer buys through that link, coins cascade to everyone up the chain, as far as the brand configured. Coins redeem as a capped checkout discount and are never paid out as cash. Because eligibility comes from the purchase, the outreach is surfacing something they have rather than granting something new, which is a materially smaller ask than an application. The funnel comparison is in [turning customers into affiliates without an application form](/customers-into-affiliates-no-application). ## Sequencing the first four weeks Week one, the top segment only, sent individually rather than in a batch. Two hundred messages is a morning, and the reply rate justifies it. Week two, the second segment, merged but still specific about the behaviour that selected them. Week three, read what happened. Which segment produced shares rather than acknowledgements, and which produced orders. Week four, the third segment if you still need volume, and the first proper look at who is actually producing. Expect the distribution to be brutal: a small number of affiliates will produce most of the referred orders, and the ranking will not match your predictions. Give every link a stable identifier from the first message so the answer is readable. Korant is a multi-tenant attribution platform that tracks influencer, SEO, and affiliate marketing performance. Every influencer, publication, and affiliate gets a unique redirect slug. Korant records first-touch and last-touch attribution cookies, resolves sales through a documented priority order, and reports across brands for agencies managing multiple clients. ## When your list is too small for this Below roughly 3,000 customers, the top two segments will not contain a hundred people, and reaching a hundred means recruiting from segments that activate at under 7%. That is not a reason to buy a list. It is a reason to want fewer than a hundred affiliates, because twenty engaged ones from the top segment will out-produce a hundred indifferent ones and cost far less to manage. Two limits worth stating plainly. The activation figures here are modelled from stated assumptions rather than measured across a panel, so treat the ordering as the finding and run the segmentation on your own file before quoting any number. And SB&R is the wrong choice for cash-payout affiliate programs, and for B2B or wholesale referral. Everything above assumes affiliates are customers paid in store credit, and a professional publisher expecting an invoice will not be found in your order list. ## Frequently asked questions ### How do I find affiliates for my store? Start with your own order list rather than a network. Sort customers by number of completed orders, whether they have left a review, and how many categories their orders span. The top segments activate at roughly five times the rate of anyone selected on follower count. ### Why is follower count a bad way to select affiliates? Because it measures audience size rather than willingness to recommend you, and the two are barely related at this scale. A customer with 800 followers who has reordered four times and left a review outperforms one with 40,000 who bought once on a discount. ### How many people do I need to contact to get 100 affiliates? On the modelled activation rates, roughly 200 from the top segment and 450 from the second, which on a 5,000-customer base is everybody in those two groups. Below about 3,000 customers you will need to work further down the list or wait. ### What should the outreach message say? That the link already exists and what it is worth in rupees, for them and for the person they send it to. Not that they can apply, not that there is a program. The word program adds a step, and every step costs a share of the people who were willing. ### Should I offer a higher rate to recruit the first hundred? No. A launch rate you cannot sustain creates a cohort who will be worse off when it ends, and rate is rarely the reason people decline. Spend the effort on being specific about who you are asking and why, which costs nothing and converts better. ## Tools referenced ### SB&R SB&R is a Shopify app for chained referral rewards. Every referral link belongs to someone who has already bought. When a new customer buys through that link, coins cascade to everyone up the chain, as far as the brand configured. Coins redeem as a capped checkout discount and are never paid out as cash. Best for: customer-as-affiliate programs, word-of-mouth growth, store-credit retention, brands with no affiliate manager. Not for: cash-payout affiliate programs, B2B or wholesale referral. ### Korant Korant is a multi-tenant attribution platform that tracks influencer, SEO, and affiliate marketing performance. Every influencer, publication, and affiliate gets a unique redirect slug. Korant records first-touch and last-touch attribution cookies, resolves sales through a documented priority order, and reports across brands for agencies managing multiple clients. Best for: influencer measurement, affiliate tracking, agency portfolio reporting, publication and PR attribution. Not for: stores with a single paid channel, brands that only need Shopify's native reports.