The use of GNSS for landslide monitoring is not a novelty. In most cases, the GNSS receivers and antennas are only a subset of instruments usually considered and used in a complex monitoring network, where more often a continuous monitoring is required. In the present work, the proposed GNSS solution is composed by a dual frequency (L1 + L2) receiver, with a solar power and with a radio connection to a ground station, where the rover’s measurements are collected and processed. The most critical aspect is the management of the collected data because the approach, which is normally used, assumes a fixed position of the GNSS antenna during the acquisition time window. Methodology for data acquisition and positioning (real-time or post-processing) and its duration, type of receivers, and antenna used (single or multi-constellation, single or dual frequency, mass-market or geodetic), data processing strategies (i.e., single epoch, static, kinematic), and GNSS network services are fundamental factors, which may favor one or another solution, according to time, economy, and infrastructure readiness in the field. Starting from the previous experience of the research group, this work investigates the possibility of employment of GNSS mass-market receivers and antenna for Network Real-Time Kinematic positioning for displacement detection. Using a dedicated slide which allows to define a micrometric displacement, several tests have been performed in a test-site at Politecnico of Torino (Italy), where different combinations of receivers and antennas (from geodetic to mass market) and displacement strategies have been considered. After this phase, some instruments are settled on a “real” landslide in the Verbano-Cusio-Ossola province (NW of Italy) in order to verify the feasibility of the employment of these devices and whose accuracies can be reached. Furthermore, data processing has been realized by means of different software (commercial and free and open source) and different kinds of solution. In this way, it could be possible to reduce costs for monitoring activities, improving the quality of the solutions, and to allow a “smart” use of GNSS technologies for monitoring.