AI AGENT TEMPLATE
An AI agent that emails last season's bike rental customers with a personalised pre-season rebook offer. Converts 3–5x cold rate.
Bike rental customers are two-mode: locals who rent occasionally and tourists who rented once during a trip. Both modes respond well to pre-season reactivation, and both are usually neglected entirely. The local forgot about you until they're planning the family weekend ride; the tourist will only come back if you're still in their head when they're planning the next trip to your city.
The Pre-Season Bike Customer Reactivation Agent reaches both cohorts with differentiated messaging. Six weeks before your peak season, the agent pulls every customer from the last 24 months, segments them (local vs. tourist based on address or behaviour, by bike category), and drafts personalised emails referencing their specific prior rental with a returning-customer discount and early-season booking incentive.
The tourist-segment work is where outsized ROI typically lives. A tourist who had a great time on your rental last July is a 20-30% rebook prospect for next July — if they hear from you at the right moment. The right moment is their trip-planning window, which for most destinations starts 3-5 months before arrival. Email lands, brand is remembered, direct rebook follows, acquisition cost is zero.
Below is the full agent spec: trigger date, tools, segmentation logic, default copy, and how to configure offer structure and cadence for local vs. tourist customers.
"On March 1 each year, segment all bike rental customers from last season. Compose personalised emails referencing their last rental (dates, bike type). Include a pre-filled rebook link and 10% returning-customer discount. Throttle send at 200 per day."
Paste this into Dash Agents. Dash reads the prompt, picks the right tools, assembles the logic, and creates a ready-to-run agent in seconds.
The agent uses the standard Dash Agents tool library. Every tool call is logged.
On trigger, the agent runs these steps in order. Any step can be customised by re-prompting.
Every customer with a rental last season, de-duplicated, unsubscribes excluded.
Casual recreational, multi-visit, families, tour participants, e-bike customers.
Attach each customer's specific rental(s): dates, bike type, notes.
Per customer: URL opens with last setup pre-filled.
Warm, references last visit, delivers link + discount.
200 per day to protect sender reputation.
Opens, clicks, rebooks per segment.
Customisations by re-prompting in plain English: change the trigger timing or conditions, adjust the recipient list, tune thresholds, modify tone, add approval gates, connect additional channels (SMS, WhatsApp) if available. Run in approval mode for the first week to build confidence before switching to autonomous.
Structured automation beats manual follow-up in three ways:
Set this agent up on your first week. Run in approval mode for five days while you watch the outputs, then flip to autonomous. The ROI compounds across a full season — a quiet automation that simply does the right thing, every time, without anyone having to remember.
FREQUENTLY ASKED QUESTIONS
The highest-leverage tactic is a warm personalised pre-season email referencing their prior rental with a pre-filled booking link and modest returning-customer discount (10%). Send on March 1 (pre-season planning window), follow up once with non-clickers. Personalisation drives 10–15% conversion — dramatically better than generic "we miss you" blasts. The single biggest mistake is sending mass emails that ignore the relationship.
Dash Agents handle the repetitive work so your team can focus on customers. Start your free trial and build your first agent in minutes.
