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• FFMpeg Coding in C : Encoder returns EOF at first interaction. Encoder not opened correctly ? [closed]

  26 février, par Davidhohey

  as I'm fairly new to FFMpeg Programming and C in general, the code looks like a mess.

  


  I have smashed my head against a wall trying to get this code to work for about a week.

  


  int decode_encode_pipeline(AVFormatContext *Input_Format_Context, AVFormatContext *Output_Format_Context, int *streams_list){

    const AVCodec *DECodec, *ENCodec;
    AVCodecContext *DECodecContext = NULL, *ENCodecContext = NULL;
    AVCodecParameters *CodecParameters = NULL;
    AVDictionary *opts = NULL;
    AVPacket *Packet;
    AVFrame *Frame;
    int check;

    Packet = av_packet_alloc();
    if(!Packet){
    
        printf("\nFehler bei Allocating Packet");
    
        return 0;
    
    }

    Frame = av_frame_alloc();
    if(!Frame){
    
        printf("\nFehler bei Allocating Frame");
    
        return 0;
    
    }

    CodecParameters = Input_Format_Context->streams[Packet->stream_index]->codecpar;
    if(!CodecParameters){

        printf("\nCodecParameters konnte nicht erstellt oder zugewiesen werden.");

    }

    DECodec = avcodec_find_decoder(CodecParameters->codec_id);
    if(!DECodec){
    
        printf("\nCodec nicht gefunden");
    
        return 0;
    
    }

    DECodecContext = avcodec_alloc_context3(DECodec);
    if (!DECodecContext){
    
        printf("\nFehler bei Allocating CodecContext");
    
        return 0;
    
    }

    ENCodec = avcodec_find_encoder(CodecParameters->codec_id);
    if(!DECodec){
    
        printf("\nCodec nicht gefunden");
    
        return 0;
    
    }

    ENCodecContext = avcodec_alloc_context3(ENCodec);
    if (!ENCodecContext){
    
        printf("\nFehler bei Allocating CodecContext");
    
        return 0;
    
    }

    check = avformat_write_header(Output_Format_Context, &opts);
    if(check < 0){

        printf("\nFehler beim Öffnen des Output Files.");
        
        return 1;

    }

    avcodec_parameters_to_context(DECodecContext, CodecParameters);
    avcodec_parameters_to_context(ENCodecContext, CodecParameters);

    ENCodecContext->width = DECodecContext->width;
    ENCodecContext->height = DECodecContext->height;
    ENCodecContext->bit_rate = DECodecContext->bit_rate;
    ENCodecContext->time_base = (AVRational){1, 30};
    ENCodecContext->framerate = DECodecContext->framerate;
    ENCodecContext->gop_size = DECodecContext->gop_size;
    ENCodecContext->max_b_frames = DECodecContext->max_b_frames;
    ENCodecContext->pix_fmt = DECodecContext->pix_fmt;
    if(ENCodec->id == AV_CODEC_ID_H264){

        av_opt_set(ENCodecContext->priv_data, "preset", "slow", 0);

    }

    check = avcodec_open2(DECodecContext, DECodec, NULL);
    if(check < 0){
    
        printf("\nFehler bei Öffnen von DECodec");
    
        return 1;
    
    }

    check = avcodec_open2(ENCodecContext, ENCodec, NULL);
    if(check < 0){
    
        printf("\nFehler bei Öffnen von ENCodec");
    
        return 1;
    
    }

    while(1){
    
        check = av_read_frame(Input_Format_Context, Packet);
        if(check < 0){
        
            break;
        
        }

        AVStream *in_stream, *out_stream;

        in_stream  = Input_Format_Context->streams[Packet->stream_index];
        out_stream = Output_Format_Context->streams[Packet->stream_index];

        if(in_stream->codecpar->codec_type == AVMEDIA_TYPE_VIDEO && Packet->stream_index == streams_list[Packet->stream_index]){

            check = avcodec_send_packet(DECodecContext, Packet);
            if(check < 0){

                printf("\nFehler bei Encoding");

                return 1;

            }

            AVPacket *EncodedPacket;
            EncodedPacket = av_packet_alloc();
            if(!EncodedPacket){
        
                printf("\nFehler bei Allocating Packet");
        
                return 1;
        
            }

            /*While Loop Decoding*/
            while(check >= 0){
    
                check = avcodec_receive_frame(DECodecContext, Frame);
                if(check == AVERROR(EAGAIN)){
        
                    continue;
        
                }else if(check == AVERROR_EOF){
                    
                    break;
                    
                }else if(check < 0){
        
                    printf("\nFehler bei Decoding");
        
                    return 1;
        
                }

                /*Convert Colorspace*/
                struct SwsContext *SwsContexttoRGB = sws_getContext(Frame->width, Frame->height, Frame->format, Frame->width, Frame->height, AV_PIX_FMT_RGB24, SWS_BILINEAR, NULL, NULL, NULL);
                struct SwsContext *SwsContexttoOriginal = sws_getContext(Frame->width, Frame->height, AV_PIX_FMT_RGB24, Frame->width, Frame->height, Frame->format, SWS_BILINEAR, NULL, NULL, NULL);
                if(!SwsContexttoRGB || !SwsContexttoOriginal){

                    printf("\nSwsContext konnte nicht befüllt werden.");

                    return 1;

                }   

                if(Frame->linesize < 0){

                    printf("\nFehler: linesize ist negativ und nicht kompatibel\n");

                    return 1;

                }

                AVFrame *RGBFrame;
                RGBFrame = av_frame_alloc();
                if(!RGBFrame){

                    printf("\nFehler bei der Reservierung für den RGBFrame");

                    return 1;

                }
                /*
                int number_bytes = av_image_get_buffer_size(AV_PIX_FMT_RGB24, Frame->width, Frame->height, 1);
                if(number_bytes < 0){

                    printf("\nFehler bei der Berechnung der benoetigten Bytes fuer Konvertierung");

                    return 1;

                }
                
                uint8_t *rgb_buffer = (uint8_t *)av_malloc(number_bytes*sizeof(uint8_t));
                if(rgb_buffer == NULL){

                    printf("\nFehler bei der Reservierung für den RGBBuffer");

                    return 1;

                }

                check = av_image_fill_arrays(RGBFrame->data, RGBFrame->linesize, rgb_buffer, AV_PIX_FMT_RGB24, Frame->width, Frame->height, 1);
                if(check < 0){

                    printf("\nFehler bei der Zuweisung der RGB Daten");

                    return 1;

                }*/

                //sws_scale(SwsContexttoRGB, (const uint8_t * const *)Frame->data, Frame->linesize, 0, Frame->height, RGBFrame->data, RGBFrame->linesize);
                sws_scale_frame(SwsContexttoRGB, Frame, RGBFrame);
                printf("\nIch habe die Daten zu RGB konvertiert.");

                //sws_scale(SwsContexttoOriginal, (const uint8_t * const *)RGBFrame->data, RGBFrame->linesize, 0, Frame->height, Frame->data, Frame->linesize);
                sws_scale_frame(SwsContexttoOriginal, RGBFrame, Frame);
                printf("\nIch habe die Daten zurück ins Original konvertiert.");

                Frame->format = ENCodecContext->pix_fmt;
                Frame->width  = ENCodecContext->width;
                Frame->height = ENCodecContext->height;
                
                check = av_frame_get_buffer(Frame, 0);
                if(check < 0){
        
                    printf("\nFehler bei Allocating Frame Buffer");
        
                    return 1;
        
                }

                /* Encoding */
                check = av_frame_make_writable(Frame);
                if(check < 0){

                    printf("\nFehler bei Make Frame Writable");

                    return 1;

                }

                encode(ENCodecContext, Frame, EncodedPacket, Output_Format_Context);

                sws_freeContext(SwsContexttoRGB);
                sws_freeContext(SwsContexttoOriginal);
                av_frame_free(&RGBFrame);
                //av_free(rgb_buffer);

            }

            /* Flushing Encoder */
            encode(ENCodecContext, NULL, EncodedPacket, Output_Format_Context);

            //avcodec_flush_buffers(DECodecContext);
            //avcodec_flush_buffers(ENCodecContext);

            av_packet_free(&EncodedPacket);

        }else{

            av_interleaved_write_frame(Output_Format_Context, Packet);

        }

    }

    av_write_trailer(Output_Format_Context); 

    /* Memory Free */
    avcodec_free_context(&DECodecContext);
    avcodec_free_context(&ENCodecContext);
    avcodec_parameters_free(&CodecParameters);
    av_frame_free(&Frame);
    av_packet_free(&Packet);

    return 0;

}



  


  The function encode looks as follows :

  


  static void encode(AVCodecContext *ENCodecContext, AVFrame *Frame, AVPacket *EncodedPacket, AVFormatContext *Output_Format_Context){

    int check;



    check = avcodec_send_frame(ENCodecContext, Frame);
    if(check == AVERROR(EAGAIN)){
        printf("\nEAGAIN");
    } 
    if(check == AVERROR_EOF){
        printf("\nEOF");
    }
    if(check == AVERROR(EINVAL)){
        printf("\nEINVAL");
    }
    if(check == AVERROR(ENOMEM)){
        printf("\nENOMEM");
    }
    if(check < 0){

        printf("\nFehler bei Encoding Send Frame. Check = %d", check);

        return;

    }

    while(check >= 0){

        check = avcodec_receive_packet(ENCodecContext, EncodedPacket);
        if(check == AVERROR(EAGAIN) || check == AVERROR_EOF){

            return;

        }else if(check < 0){

            printf("\nFehler bei Encoding");

            return;

        }

        if (av_interleaved_write_frame(Output_Format_Context, EncodedPacket) < 0) {

            printf("\nFehler beim Muxen des Paketes.");
            break;

        }

        av_packet_unref(EncodedPacket);

    }

    return;

}


  


  The program should decode a video into the individual frames convert them to RGB24, so I can work with the raw data of the frame, then convert it back to the original format and encode the frames.

  


  The encoder doesn't play nice, as I get an EOF error at avcodec_send_frame().
But I couldn't figure it out why the encoder behaves like this.
And yes I have read the docs and example files, but either I'm massivly missing a crucial detail or I'm just ****.

  


  Any and all help will be and is massivly appreciated.

  


  PS. : The used libraries are libavutil, libavformat, libavcodec, libswscale. All installed with the "-dev" suffix through linux commandline. Should all be the version 7.0 libraries.

  


  Thanks in advance.
With best regards.

  


  

  • Read the docs

  


  • Shifting the encoding step out of the decoding while loop

  


  


• How to measure the performance of a newsletter (or any email) with Matomo

  19 décembre 2017, par InnoCraft

  To be able to grow your business, it is crucial to track all your marketing efforts. This includes all newsletters and emails that you share with people outside of your business. Otherwise, you won’t be able to know which of your daily efforts are yielding results.

  Are you wondering if it is possible to track the performance of an emailing campaign in Matomo (Piwik) efficiently ? Would you like to know if it is technically easy ? No worries, here is a “How to” tutorial showing you how easily you can track an emailing in Matomo properly.

  Different tracking levels for different needs

  There are many things that you may be interested to track, for example :

  

  1. How many users opened your email
  2. How many users interacted with the links in your email
  3. How many users interacted on your website through your email

  Let’s have a look at each of these levels.

  Step 1 – Tracking email and newsletter openings in Matomo

  Tracking email openings requires to add an HTML code to your newsletter. It works through what we call a tracking pixel, a tiny image of 1×1 that is transparent so the user will not be able to see it.
  In order to install it, here is an example of what this code looks like :

  <img src="https://piwik.example.com/piwik.php?idsite=YOUR_PIWIK_WEBSITE_ID&rec=1&bots=1&url=https%3A%2F%2Fexample.com%2Femail-opened%2Fnewsletter_XYZ&action_name=Email%20opened&_rcn=internal%20email%20name&_rck=newsletter_XYZ" style="border:0;” alt="" />

  The Matomo tracking pixel explained

  The above URL is composed of the following URL parameters which are part of our Tracking API :

  • idsite : Corresponds to the ID of the website you would like to track.
  • rec : You need to have rec=1 in order for the request to be actually recorded.
  • bots : Set it to 1 to include all the connections made to this request, bots included.
  • url : corresponds to the URL you would like to display in Matomo (Piwik) every time the email is opened.
  • action_name : This is the page name you would like to be tracked when the email is opened.
  • _rcn : The name you would like to give to your campaign.
  • _rck : The keyword you may like to use in order to summarize the content of your newsletter.

  You may have noticed some special characters here such as “%20”, “%2F”. That’s because the URL is encoded. We strongly recommend you to do so in order for your tracking not to break. Many tools are available on the web in order to encode your URLs such as https://www.urlencoder.org/.

  If you would like to access the previous tracking code easily, keep in mind that you can always find the tracking code generator within the “Matomo admin panel → Tracking code” :

  

  You can find more information about it on our guide at : How do I track how many users open and read my newsletter emails (using a pixel / beacon) ?

  As a result, the information will be pushed as following for any user who opens your email :

  

  To not bias your regular page views on your website with newsletter openings, we recommend tracking newsletter openings into a new website.

  Tracking even more data : the user ID example

  You can go deeper in your URL tracking by inserting other parameters such as the user id if you have this information within your emailing database. One of the main benefit of tracking the User ID is to connect data across multiple devices and browsers for a given user.

  You only need to add the following parameter &uid=XXX where XXX equals the dynamic value of the user ID :

  

  Make sure that UID from your emailing provider is the same as the one used on your website in order for your data to be consistent.

  Important note : some email providers are loading email messages by default which results in an opening even if the user did not actually open the email.

  Step 2 – Measure the clicks within your emailing

  Tracking clicks within an email lets you know with which content readers interacted the most. We recommend tracking all links in all your emails as a campaign, whether it is a newsletter, a custom support email, an email invoice, etc. You might be surprised to see which of your emails lead to conversions and if they don’t, try to tweak those emails, so they might in the future.

  Tracking clicks This works thanks to URL campaign tracking. In order to perform this action, you will need to add Matomo (Piwik) URL parameters to all your existing link URLs :

  • Website URL : for example “www.your-website.com”.
  • Campaign name : for example “pk_campaign=emailing”. Represents the name you would like to give to your campaign.
  • Campaign keyword : for example “pk_keyword=name-of-your-article”. Represents the name you would like to give to your content.
  • Campaign source : for example “pk_source=newsletter”. Represents the name of the referrer.
  • Campaign medium : for example “pk_medium=email”. Represents the type of referrer you are using.
  • Campaign content : for example “pk_content=title”. Represents the type of content.

  You can find more information about campaign url tracking in our “Tracking marketing campaigns with Matomo” guide.

  Here is a sample showing you how you can differentiate some links in a newsletter, all pointing to the same URL :

  

  Once you have added these URL parameters to each of your link, Matomo (Piwik) will clearly indicate the referrer of this specific campaign when a user clicks on a link in the newsletter and visits your website.

  Important note : if you do not track your campaigns, it will result in a bad interpretation of your data within Matomo (Piwik) as you will get webmail services or direct entries as referrer instead of your newsletter campaign.

  Step 3 – Measure emailing performances on your website

  Thanks to Matomo (Piwik) URL campaign parameters, you can now clearly identify the traffic brought through your emailing. You can now specifically isolate users who come from emails by creating a segment :

  

  Once done, you can either have a look at each user specifically through the visitor log report or analyze it as a whole within the rest of the reports.

  You can even measure your return on investment directly if goals have been defined. In order to know more about how to track goals within Matomo (Piwik).

  Did you like this article ?

  If you enjoyed reading this article, do not hesitate to share it around you. Moreover, if there are any topics you would like to write us about in particular, just drop us an email and we will be more than happy to write about it.

  The post How to measure the performance of a newsletter (or any email) with Matomo appeared first on Analytics Platform - Matomo.

• Strategies for Reducing Bank Customer Acquisition Cost [2024]

  24 septembre 2024, par Daniel Crough — Banking and Financial Services

  Acquiring new customers is no small feat — regardless of the size of your team. The expenses of various marketing efforts tend to pile up fast, even more so when your business operates in a highly competitive industry like banking. At the same time, marketing budgets continue to decrease — dropping from an average of 9.1% of total company revenue in 2023 down to 7.7% in 2024 — prompting businesses in the financial services industry to figure out how they can do more with less.

  That brings us to bank customer acquisition cost (CAC) — a key business metric that can reveal quite a bit about your bank’s long-term profitability and potential for achieving sustainable growth. 

  This article will cover the ins and outs of bank customer acquisition costs and share actionable tips and strategies you can implement to reduce CAC.

  What is customer acquisition cost in banking ? 

  

  The global market volume of neobanks — fintech companies and digital banking platforms, often referred to as “challenger banks” — was estimated at $4.96 trillion in 2023. It’s expected to continue growing at a compound annual growth rate (CAGR) of 13.15% in the coming years, potentially reaching $10.44 trillion by 2028.

  That’s enough of an indicator that the financial services industry is now a highly competitive landscape where companies are often competing for the attention of a relatively limited audience. 

  Plus, several app-only banks based in Europe have made significant progress in attracting new customers to their financial products : 

  

  Unsurprisingly, this flurry of competition is putting upward pressure on customer acquisition and retention costs across the banking sector.

  Customer acquisition cost (CAC) — the sum of all costs and resources related to acquiring an additional customer — is one of the key business metrics to keep an eye on when trying to maximise your return on investment (ROI) and profitability, especially if your company operates in the banking industry.

  Here’s the basic formula you can use to calculate the cost of acquisition in banking : 

  Customer Acquisition Cost (CAC) = Total Amount Spent (TS) / Total New Customers Acquired (TNC)

  In essence, it requires you to divide the total cost of acquiring consumers — including sales and marketing expenses — by the total number of new customers your company has gained within a specific timeframe.

  There’s one thing you need to keep in mind : 

  The customer acquisition process involves more than just your marketing and sales departments. 

  While marketing and sales channels play a crucial role in this process, the list of expenses that may contribute to customer acquisition costs in banking goes well beyond that. 

  Here’s a quick breakdown of the customer acquisition cost formula to show you which costs make up the total amount spent : 

  • All advertising and marketing costs, including traditional (direct mail, billboards, TV and print advertising) and digital channels (email, Google ads, social media and influencer marketing)
  • Cost of outsourced marketing services, including any independent contractors involved in the process 
  • Salaries and commissions for the marketing team and sales representatives
  • Software subscriptions, including marketing software and web analytics tools 
  • Other overhead and operational costs 

  And until you’ve taken all these expenses into account, you won’t be able to accurately estimate how much it actually costs you to attract potential customers.

  Another thing to keep in mind is that there’s no universal definition of “good CAC.” 

  The average customer acquisition cost varies across different industries and business models. That said, you can generally expect a higher-than-average CAC in highly competitive sectors — namely, the financial, manufacturing and real estate industries. 

  Importance of tracking customer acquisition cost in banking 

  

  Customer acquisition costs are an important indicator of a banking business’s potential growth and profitability. Monitoring this fundamental business metric can provide data-driven insights about your current bank customer acquisition strategy — and offers a few notable benefits : 

  • Measuring the performance and effectiveness of different channels and campaigns and making data-driven decisions regarding future marketing efforts
  • Improving return on investment (ROI) by determining the most effective strategies for acquiring new customers 
  • Improving profitability by assessing the value per customer and improving profit margins 
  • Benchmarking against industry competitors to see where your business’s CAC stands compared to the banking industry average

  At the risk of stating the obvious, acquiring new customers isn’t always easy. That’s true for many highly competitive industries — especially the banking sector, which is currently witnessing the rapid rise of digital disruptors. 

  Case in point, the fintech market alone is currently valued at $312.98 billion and is expected to reach $556.70 billion by 2030, following a CAGR of 14%.

  

  However, strong competition is only one of the challenges banks face throughout the process of attracting potential customers. 

  Here are a few other things to keep in mind : 

  • Ethical business practices and strict compliance requirements when it comes to the privacy and security of customer data, including meeting data protection standards and ensuring regulatory compliance
  • Lack of personalisation throughout the customer journey, which today’s customers view as a lack of understanding of — and even interest in — their needs and preferences 
  • Limited mobile banking capabilities, which further points to a failure to innovate and adapt — one of the leading risks that financial services may face 

  7 strategies for reducing bank customer acquisition costs 

  

  When working on optimising your banking customer acquisition strategy, the key thing to keep in mind is that there are two sides to improving CAC : 

  On the one hand, you have efforts to decrease the costs associated with acquiring a new customer — and on the other, you have the importance of attracting high-value customers. 

  1. Eliminate friction points in the customer onboarding process

  One of the first things financial institutions should do is examine their existing digital onboarding process and look for friction points that might cause potential customers to drop off. After all, a streamlined onboarding process will minimise barriers to conversion, increasing the number of new customers acquired and improving overall customer satisfaction. 

  Keep in mind that, at the 30-day mark, finance mobile apps have an average user retention rate of 3% : 

  

  That says a lot about the importance of providing a frictionless onboarding experience as a retail bank or any other financial institution. 

  Granted, a single point of friction is rarely enough to cause customers to churn. It’s typically a combination of several factors — a lengthy sign-up process with complicated password requirements and time-consuming customer identification or poor customer service, for example — that occur during the key moments of the customer journey.

  In order to keep tabs on customer experiences across different touchpoints and spot potential barriers in their journey, you’ll need a reliable source of data. Matomo’s Funnels report can show you exactly where your website visitors are dropping off. 

  2. Get more personalised with your marketing efforts 

  Generic experiences are rarely the way to go — especially when you’re contending for the attention of prospective customers in such a competitive sector. 

  Besides, 62% of people who made an online purchase within the last six months have said that brands would lose their loyalty following a non-personalised experience. 

  What’s more shocking is that only a year earlier, that number stood at 45%.

  

  When it comes to improving marketing efficiency and sales strategies, 94% of marketers agree that personalisation is key : 

  

  It’s evident that personalised marketing supported by behavioural segmentation can significantly improve conversion rates — and, most importantly, reduce acquisition costs. 

  Of course, it’s virtually impossible to deliver targeted, personalised marketing messaging without creating audience segments and detailed buyer personas. Matomo’s Segmentation feature can help by allowing you to split website visitors into smaller groups and get much-needed insights for behavioural segmentation. 

  3. Build an omnichannel marketing strategy 

  Customer expectations, behaviours and preferences are constantly evolving, making it crucial for financial services to adapt their customer acquisition strategies accordingly. Meeting prospective customers on their preferred channels is a big part of that. 

  The issue is that modern banking customers tend to move across different channels. That’s one of the reasons why it’s becoming increasingly more difficult to deliver a unified experience throughout the entire customer journey and close the gap between digital and in-person customer interactions. 

  Omnichannel marketing gives you a way to keep up with customers’ ever-evolving expectations :

  Adopting this marketing strategy will allow you to meet customers where they are and deliver a seamless experience across a wide range of digital channels and touchpoints, leading to more exposure — and, ultimately, increasing the number of acquired customers.

  Matomo can support your omnichannel efforts by providing accurate, unsampled data needed for cross-channel analytics and marketing attribution. 

  4. Work on your social media presence 

  Social networks are among the most popular — and successful — digital marketing channels, with millions (even billions, depending on the platform) of active users. 

  In fact, 89% of marketers report using Facebook as their main platform for social media marketing, while another 80% use Instagram to reach their target audience and promote their business. 

  

  And according to The State of Social Media in Banking 2023 report, nine out of ten banks (89%) consider social media is important, while another 88% are active on their social media accounts. 

  That is to say, even traditionally conservative industries — like banking and finance — realise the crucial role of social media in promoting their services and engaging with customers on their preferred channels : 

  It’s an excellent way for businesses in the financial sector to gain exposure, drive traffic to their website and acquire new customers. 

  If you’re ready to improve social media visibility as part of your multichannel efforts, Matomo can help you track social media activity across 70 different platforms. 

  5. Shift the focus on customer loyalty and retention 

  Up until this point, the focus has mainly been on building new business relationships. However, one thing to keep in mind is that retaining existing customers is generally cheaper than investing in customer acquisition activities to attract new ones. 

  Of course, customer retention won’t directly impact your CAC. But what it can do is increase customer lifetime value, contributing to your company’s revenue and profits — which, in turn, can “balance out” your acquisition costs in the long run.

  That’s not to say that you should stop trying to bring in new clients ; far from it. 

  However, focusing on increasing customer loyalty — namely, delivering excellent customer service and building lasting business relationships — could motivate satisfied customers to become brand advocates. 

  As this survey of customer satisfaction for leading banks in the UK has shown, when clients are satisfied with a bank’s products and services, they’re more likely to recommend it. 

  

  Positive word-of-mouth recommendations can be a powerful way to drive customer acquisition. You can leverage that by launching a customer referral program and incentivising loyal customers to refer new ones to your business. 

  6. A/B test different elements to find ones that work 

  We’ve already underlined the importance of understanding your audience ; it’s the foundation for optimising the customer journey and delivering targeted marketing efforts that will attract more customers. 

  Another proven method that can be used to refine your customer acquisition strategy is A/B or split testing. 

  It involves testing different versions of specific elements of your marketing content — such as language, CTAs and visuals — to determine the most effective combinations that resonate with your target audience. 

  Besides your marketing campaigns, you can also split test different variants of your website or mobile app to see which version gets them to convert. 

  Matomo’s A/B Testing feature can be of huge help here : 

  

  7. Track other relevant customer acquisition metrics 

  To better assess your company’s profitability, you’ll have to go beyond CAC and factor in other critical metrics — namely, customer lifetime value (CLTV), churn rate and return on investment (ROI). 

  Here are the most important KPIs you should monitor in addition to CAC : 

  • Customer lifetime value (CLTV), which represents the revenue generated by a single customer throughout the duration of their relationship with your company and is another crucial indicator of customer profitability 
  • Churn rate — the rate at which your company loses clients within a given timeframe — can indicate how well you’re retaining customers 
  • Return on investment (ROI) — the revenue generated by new clients compared to the initial costs of acquiring them — can help you identify the most effective customer acquisition channels 

  These metrics work hand in hand. There needs to be a balance between the revenue the customer generates over their lifetime and the costs related to attracting them.

  Ideally, you should be aiming for lower CAC and customer churn and higher CLTV ; that’s usually a solid indicator of financial health and sustainable growth. 

  Lower bank customer acquisition costs with Matomo 

  Acquiring new customers will require a lot of time and resources, regardless of the industry you’re working in — but can be even more challenging in the financial sector, where you have to adapt to the ever-changing customer expectations and demands. 

  The strategies outlined above — combined with a thorough understanding of your customer’s behaviours and preferences — can help you lower the cost of bank customer acquisition.

  On that note, you can learn a lot about your customers through web analytics — and use those insights to support your customer acquisition process and ensure you’re delivering a seamless online banking experience. 

  If you need an alternative to Google Analytics that doesn’t rely on data sampling and ensures compliance with the strictest privacy regulations, all while being easy to use, choose Matomo — the go-to web analytics platform for more than 1 million websites around the globe. 

  CTA : Start your 21-day free trial today to see how Matomo’s all-in-one solution can help you understand and attract new customers — all while respecting their privacy.