Personalisation software for ecommerce - Price - SwiftERM

Price is calculated by the size of your database – 0-19,999 is just £100 per month 

 

We aim to keep you in profit – from day one


We aim to deliver permanently profitable software from the outset. After the free trial, a 100k db retailer, paying £1000 pm, should reasonably expect to see attributed turnover between £10,000 – 20,000 delivered per month.

Rates are tiered, adjusting by the number of people on your database. Scroll down the rates until you see your size of database, then read across to see the monthly cost in Sterling, Dollars or Euros. 

 

Profit Guarantee – any trial that does not reach a minimum of 4x the potential cost is extended until it does.

 

SwiftERM is a UK registered company – currency exchange rates are calculated at the time of transaction and may vary according to the rate applicable at that time.

If you would prefer the price to be a percentage of attributed sales, we are happy to look at this for you.

Tiered price per month – for all sizes of DB 

 

No. of Consumers   £GBP  $ USD  € Euros

 0 -19,999                   £100      $134      €110
20,000 – 29,999         £200      $268      €220
30,000 – 39,999         £300      $402      €330

40,000 – 49,999         £400      $536      €440
50,000 – 59,999         £500      $670      €550
60,000 – 69,999         £600      $806      €660
70,000 – 79.999         £700      $940      €770
   80,000 – 89.999         £800     $1074     €880   
90,000 – 99,999          £900     $1208     €990
100k – 110k               £1000     $1344   €1100

Larger Databases

0.5 million         £5,000       $6,720       €5,500
1 million           £10,000     $13,440     €11,000
2 million           £20,000     $26,880     €22,000
 5 million           £50,000     $67,200     €66,000 

 

Personalisation software for ecommerce - Price

Consumer behaviour – monetised

The average visitor makes 100 impressions per visit to most ecommerce websites, all recorded, stored and fed into your data to develop and reflect the ever-changing buying patterns and interests of your consumer, to perfect the content of their personal product selection more accurately. 

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