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ROI simulator after Covid-19

Written by Seeketing.

Is it possible to achieve the sales targets set for 2020 after the Covid-19?


To achieve this, you will have to do things differently. Without a doubt, dedicating a few weeks to the definition of the strategy, and with the help of the appropriate technology, it is possible to increase your sales for the last 6 months of the year.

The ingredients are the same as those used by Amazon:

·         Segmentation and customer knowledge

·         Remarketing

·         Recommendations by user

·         mobile technology

·         Personalization


But we must apply these strategies where we can really beat Amazon, which is in the physical world. Seeketing is the only massive phygital technology that allows to work as the greats do in the digital world, but in our physical spaces.

In short, it is about optimizing, and this requires using only those tools that are auditable in ROI, those providing measurable results and offering added value in the future.


“What is not defined, cannot be measured.

What is not measured cannot be improved.

What is not improved always degrades. ”

William Thomson Kelvin (Lord Kelvin) British Physicist and Mathematician.

Seeketing has shown that it is possible to do physical remarketing, sending proximity messages massively depending on the interests of the user, and who we know about their physical behavior (in store, when they pass near the store, etc.) and digital (emailing, web, ecommerce, landing, social networks, surveys, etc.)

Seeketing has shown that it is the only massive and legal tool to execute and measure the behavior of all users who receive an email/SMS or see a landing/web/ecommerce, and finally visit the store, and of them how many and who buy.

Seeketing technology allows us to deliver our Campaign / message to the user's phone when the user walk in front of the store, adapting it to their interests and behavior (we know if the user is interested in each message, if he enters the store and finally buys in each campaign,  gender, date of birth, previous purchases made, etc ... that is already available in a standard CRM).

In other words, Seeketing can work integrated with a CRM to provide hyper-personalization, user geolocation, and mass proximity marketing.

You can download:

1. Presentation of the solution (PDF)

2. Simulator to calculate additional sales based on your business parameters (XLS) 



You can download:

1. Solution presentation (.PDF)

2. Simulator to calculate new sales for your business (.XLSX)




Does Seeketing work?

Written by Siketing.

First question of our partners and clients when they discover Seeketing technology is: HOW it works, and once the know its fundamentals, they ask if it really works in real projects, on the ground.

We show below the example of real projects, with results not prepared by Seeketing, the report bellow are generated by end customers and partners in the use of Seeketing technology



A. Comparison with cameras in a median mall of plants, analyzed for several months

  Seeketing offers monthly data equivalent to camera systems across the entire shopping mall, analyzing the behavior and movement of more than 350,000 people each month.

 So the big difference between data provided by cameras and Seeketing are not the figures or the accuracy , the big different is that cameras only provide overview figures, but Seeketing provides person by person customer journey along each zone of the venue. 


B. Comparison with WIFI tracking and cameras over an hour by hour basis, analyzed over several weeks

Yellow - Cámaras           
Blue - Wifi tracking               
Gray  - Seeketing


The Wifi tracking system (blue) generates bad data and much more errors that it does not have relationship with real visitors.

  • Depending on the moment and day..., the first day at 12am when more than 20 people enter the shop it seems to work, however at 3pm, when more than 30 people, detects only 4 phones, but Seeketing always has an excellent relationship with the number of people entering the shop.
  • Different envelopes to the current footfall hour by hour, when the data of the cameras (yellow) and Seeketing (gray) go up, and the data of Wifi tracking (blue) sometimes goes up or sometimes goes down.
  • When there are no people at 8:00AM Wifi systems provides also high peaks of 10 or even 20 detections

 And...Wifi tracking systems are be based its identifiers in MAC, which are random, so it can not provide recurring data, time of stay, glues, etc ..


C. Comparison with Tickets in a Supermarket (analyzed for several months)

Seeketing is the only technology that offers unique visitor data, with information on loyalty and recurrence in different days, months of the same visitors, so these data could directly compare with tickets or family units.


D. Comparison Seeketing vs. 3D cameras in a large shopping center of 6 plants, analyzed for several months.

 Los datos de Seeketing superan el 85% de precisión todos los meses, respecto a los datos de footfall de cámaras en todos los accesos.



D. Comparison CUSTOMER JOURNEY. Seeketing vs. WIFI tracking and IBeacon bluetooth / Eddystone in a large shopping mall, analyzed for several months



Seeketing provides  better location for the most massive visitor group, which never connects to the mall's wifi portal and never installs APPs, even if they always have the open wifi, because they use it at home/job. But it can work even with those who do not have wifi bluetooth open. For this reason massive results are obtained with respect to the total of visitors.


E. Comparison PROXIMITY MARKETING. Seeketing vs. WIFI Social and IBeacon bluetooth / Eddystone in a large shopping mall, analyzed for several months.



Other systems require phones to install an APP, or connect to the Wifi Captive Portal of the mall/shop. Seeketing is the only one that offers high performance to the most part of the public, which does not connect to the mall's wifi portal and does not install APPs, unless they always have open wifi, to use it at home. But it can work even with those who do not have wifi and bluetooth open.



F. Comparison with tickets on transport systems (measurement of origin and destination of passengers on train line for years)


Seeketing's envelop is perfect, always with a accuracy around 70%. Typical deviation from demand are minimal while offering stable data month to month.



How to override the random mac problems of wifi tracking or rtls tracking system

Written by dcaldera.

Probably, you're considering to deploy or looking for an wifi tracking analytics solution as an alternative to Seeketing technology, so we think it's important to let you know in detail the technological differences between Seeketing and other solutions, including Cisco Meraki,  Retency, Aruba networks, and many many others which are based on the identification of MAC addresses that the phones emit (assuming their public declarations, API documentation or real testing performed).

The Seeketing technology is different from these other solutions because Seeketing does not use MAC Address to uniquely identify the users' phones, since the percentage of phones that emit their real MAC is very low . What happens in practice when a phone is not connected to a Wi-Fi network is that it never emits the same MAC address, but instead emits random MAC addresses (fake address). This effect is known as MACs randomization (there is a lot of documentation on this effect on the internet), and consequently, it prevents accuracy when determining how many real phones and how long they are in a certain area. 

The amount of real MAC addresses is about 2% of total visitors, so data is not representative of visitors of the mall. Sometimes other providers are using small samples and then perform a big extrapolation process.  So you are not comparing two identical technologies. This problem is already suffered by many customers in malls and retail environments who invested in solutions based on MAC detection and discovered that the analytics gathered did not correspond to reality. We are aware of this issue in several countries, and some of these companies who suffered this now are working with us. Because you must take into account that the providers of solutions based on MACs usually hide this fact.

What Seeketing can guarantee is that at technological level there are no other technologies that can replace us, and this is why we are explaining to all our clients and partners the comparison of our technology with those based only on detecting Wi-Fi MACs to identiy phones. This way, you will not have to make the mistake of thinking that the data based on these technologies are massive and valid, and you will not have to wait a year to have a comparison that allows you to confirm that you are obtaining incorrect data.

For this reason, we are sharing here our lab tests where we compare a Seeketing Node against MAC-based technologies to detect phones in a well-defined environment.

These have been the results obtained:

4 phones in an anechoic chamber

2 Iphone  + 2 android

Systems based MAC WIFI / MAC Bluetooth   


4 phones in standby mode 

Real presence time  1h

Real presence time  4h

Visitors / Presence time

        28 visitors  /  9 min

116 visitors /  2 min

Visitors / Presence time

4 visitors  / 57 min

4  visitors / 56 min

Error over real data in several real environments

Higher than 700%

                 Lower than 5%

Finally, we are fortunate to keep our clients for more than 6 years uninterruptedly, and we believe in the value of making lasting alliances. That is why we are sure that we can reach an agreement with the premise of a long-term alliance, and in this way to lower the costs to the level that is convenient for you and still profitable for us. And above all, we can be able to collaborate in helping you with other high-value Seeketing technologies (Omnichannel solution, Optical sensors for store counting, Proximity Marketing by sending messages to phones with or without APP, traffic measurement of digital campaigns, integration with your CRM, WIFI, APP, POS, etc.).


Seeketing is a company dedicated to mobile, offline and online marketing. We provide innovative technologies to analyze client flow within selling points, both indoor and outdoor, in public and private spaces using our SDK and IGRP Nodes.



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