AfterSell Expert for E-commerce AOV & Upsell Optimization

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Part Time

SALARY

$4-$8 hour

HOURS PER WEEK

TBD

DATE UPDATED

Sep 28, 2026

JOB OVERVIEW

Summary
AfterSell Expert for E-commerce AOV & Upsell Optimization

We are looking for an experienced **AfterSell expert** to optimize our post-purchase upsell flows and maximize AOV.

You should have strong experience with:
- Building and optimizing AfterSell upsell/downsell flows
- Segmenting customers based on order value, products purchased, quantity, customer type, etc.
- Testing offers, discounts, bundles, sequencing, and copy
- Improving take rate and incremental post-purchase revenue
- Analyzing performance and continuously optimizing flows

We are specifically looking for someone with **proven AfterSell experience for Shopify e-commerce brands**, not a general Shopify freelancer.

Please include examples of previous AfterSell work and any results you achieved.

Potential for ongoing work.

SKILL REQUIREMENT
VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0008
Controller Execution Time ( Jobseekers / Job )  0.0135
Total Execution Time  0.0148
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,482,632 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/AfterSell-Expert-for-E-commerce-AOV-Upsell-Optimization-1738767
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0072 seconds)  (Hide)
0.0004   SELECT *
                                
FROM exrates
                                WHERE rate_name 
= 'USD-PHP' 
0.0008   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1738767
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 1004859
 LIMIT 1 
0.0003   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `misc` ON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1738767
AND `misc`.`id` IS NULL 
0.0005   SELECT e.business_name, e.logo, e.website, e.rebill_date, e.date_added member_date, hits, DATEDIFF('2026-10-26',ej.date_added) duration_days, DATEDIFF('2026-10-26',e.rebill_date) duration_rebill, ej.*, e.deactivate FROM employers e, employer_jobs ej WHERE e.employer_id = ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id = '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-10-26',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != 1 AND ej.deleted = 0 AND job_id = '1738767' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1738767 
0.0010   UPDATE employer_jobs SET hit_counts = '***Sep-26-2026=1***Sep-27-2026=3***Sep-28-2026=777***Sep-29-2026=78***Sep-30-2026=11***Oct-01-2026=6***Oct-02-2026=1***Oct-03-2026=4***Oct-04-2026=3***Oct-05-2026=4***Oct-06-2026=1***Oct-08-2026=6***Oct-10-2026=1***Oct-11-2026=2***Oct-13-2026=1***Oct-14-2026=2***Oct-16-2026=1***Oct-17-2026=1***Oct-19-2026=1***Oct-20-2026=8***Oct-21-2026=1***Oct-22-2026=1***Oct-23-2026=3***Oct-26-2026=1' WHERE job_id= '1738767'  
0.0009   UPDATE employer_jobs SET monthly_hits = '***Sep-2026=870***Oct-2026=48' WHERE job_id= '1738767'  
0.0007   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id = '' AND job_id = '1738767' AND status LIKE 'sent%' ORDER BY id DESC  
0.0004   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `sc` ON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1738767 
0.0008   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '1004859'
AND `date_added` >= '2022-06-08' 
0.0004   select * from teasers 
0.0002   SELECT * FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)