How a drip campaign works
A drip campaign is built on three elements: an entry trigger (what moves a user into the
series), a sequence of steps (content plus intervals) and an exit condition (the goal was
met, or the cycle ended).
An example onboarding series for a new e-commerce buyer:
Day 0 -> Welcome - here is your promo code
Day 2 -> Bestsellers in the category of the first purchase
Day 5 -> A selection of similar products plus reviews
Day 10 -> A reminder about the unused promo code
Day 15 -> Content - how to choose [category] - with no direct selling
Exit from the series: the user makes a second purchase and moves into a different segment.
Drip versus trigger: when to use which
| Criterion | Drip campaign | Triggered send |
|---|---|---|
| Launch logic | A schedule (intervals) | A specific event |
| Predictability | High | Depends on behaviour |
| Examples | Onboarding, nurturing, re-engagement | Abandoned cart, price drop |
| Personalization | By segment at entry | By current context |
The best campaigns combine both: the drip series provides the structure, event-based triggers
provide dynamic inserts at the right moment.
Key e-commerce scenarios
Onboarding a new buyer. The goal is to reach a second purchase. Four or five messages across 2–3
weeks: a welcome, social proof, a category selection, a reminder.
Nurturing a lead. The user has registered but bought nothing yet. A content series: how to
choose, comparisons, case studies. The goal is removing the barrier to a first purchase.
Win-back. The user has not bought for 60+ days. A series of three messages: we miss you, here is
what has changed, a final offer with a discount.
Important: every step of a drip series should add value rather than simply push towards a
purchase. Educational content at steps 2–3 reduces attrition from the series and raises loyalty to
the brand.
Common mistakes
- Messages that are too frequent. More than two a week in an onboarding series is a direct route
to unsubscribes. - One series for everyone. A buyer of children’s goods and a buyer of electronics get identical
recommendations. Splitting into 3–5 branches by the category of the first purchase delivers a
substantial gain in click-through rate. - No exit condition. A user who bought at step 2 keeps receiving offers in the same category —
irritating, and it creates irrelevant noise. - No A/B testing of the steps. The subject line, the send time and the length of the series all
affect the result — test at least the busiest step, which is usually the first.