{"id":15861,"date":"2023-02-06T22:13:14","date_gmt":"2023-02-06T21:13:14","guid":{"rendered":"https:\/\/coreanalytics.stageweb.builders\/2023\/02\/06\/the-economic-impact-of-an-accurate-model\/"},"modified":"2026-10-07T11:54:25","modified_gmt":"2026-10-07T10:54:25","slug":"the-economic-impact-of-an-accurate-model","status":"publish","type":"post","link":"https:\/\/coreanalytics.it\/en\/2023\/02\/06\/the-economic-impact-of-an-accurate-model\/","title":{"rendered":"The Economic Impact of an Accurate Model"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"15861\" class=\"elementor elementor-15861 elementor-5566\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-497d220 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"497d220\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0b87b01\" data-id=\"0b87b01\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2ba3f4b elementor-widget elementor-widget-spacer\" data-id=\"2ba3f4b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a90f59f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a90f59f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a0e4d0c\" data-id=\"a0e4d0c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2cd979a elementor-widget elementor-widget-leroux_core_section_title\" data-id=\"2cd979a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"leroux_core_section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-section-title qodef-alignment--left\">\n\t\t<h2 class=\"qodef-m-title\" style=\"color: #1D2733\">\n\t\t\t\t\tThe Economic Impact of Accuracy: Why a Custom MMM Generates Immediate Profit\t\t\t<\/h2>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-85702f3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"85702f3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0376ae0\" data-id=\"0376ae0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e520803 elementor-widget elementor-widget-text-editor\" data-id=\"e520803\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">When evaluating the adoption of a Marketing Mix Modeling (MMM) framework, the question often arises whether to rely on standard frameworks or invest in a custom-developed model. Economic reality demonstrates that a personalized MMM is not merely a cost, but a strategic asset with a positive return. The price of the tool, in fact, is a minimal fraction of the economic value generated by the financial decisions it guides.  <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c81d8e8 elementor-widget elementor-widget-text-editor\" data-id=\"c81d8e8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><b>The Math of Effectiveness:<\/b><span style=\"font-weight: 400;\"> Consider an annual media budget of 5 million euros. A minimal 5% overestimation of a single channel&#8217;s effectiveness results in a loss of 250,000 euros in misallocated capital each year. A custom-built MMM proves its immediate profitability because it costs less than the first single allocation error it helps avoid.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fe41bb elementor-widget elementor-widget-text-editor\" data-id=\"7fe41bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">The real question to ask is not how much is spent on model implementation, but how much capital is at risk of being wasted by basing Board decisions on imprecise and uncalibrated recommendations.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a97fffe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a97fffe\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-37de0e4\" data-id=\"37de0e4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d9103e7 elementor-widget elementor-widget-leroux_core_section_title\" data-id=\"d9103e7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"leroux_core_section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-section-title qodef-alignment--left\">\n\t\t<h2 class=\"qodef-m-title\" style=\"color: #1D2733\">\n\t\t\t\t\tThe Invisible Costs of Economical Standard Solutions\t\t\t<\/h2>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-529e858 elementor-widget elementor-widget-text-editor\" data-id=\"529e858\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">In recent years, the market has seen the proliferation of open-source frameworks and pre-packaged models, often made available by major technology players within their own ecosystems. While these initiatives have succeeded in bringing MMM to the forefront of strategic discussions and spreading a culture of measurement, their use within complex companies reveals structural limitations that negatively impact the quality of decisions: <\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\"><b>Rigid Approach and Brand Dilution:<\/b><\/span><ul><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">Standardized models are built on generic assumptions.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">They struggle to reflect the specificities of a real business, such as anomalous seasonality, complex distribution channels, local market peculiarities, and interactions between trade and media.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">Everything that makes a brand unique tends to be completely nullified.<\/span><\/li><\/ul><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\"><b>The Illusion of &#8220;Do-It-Yourself&#8221; Plug-and-Play:<\/b><\/span><ul><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">An econometric model is not a simple automated software to install.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">Without constant calibration guided by real statistical expertise, the risk of blurring or distorting business data is extremely high.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">Distorted coefficients produce recommendations that maintain an apparently scientific veneer, but prove to be completely erroneous in practice.<\/span><\/li><\/ul><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\"><b>The Financial Bleeding from Invisible Errors:<\/b><\/span><ul><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">This represents the most insidious danger to the company budget.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">An overestimation of a channel&#8217;s effectiveness, even a modest one, silently propagates across all resource allocation, repeating identically every month, every quarter, and every year.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400; color: #000000;\">This is an invisible error because the software continues to run and produce clean graphical outputs, but the cumulative overall economic damage is worth multiples of the model&#8217;s price itself.<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b2e6823 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b2e6823\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bd68df1\" data-id=\"bd68df1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-46b0938 elementor-widget elementor-widget-leroux_core_section_title\" data-id=\"46b0938\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"leroux_core_section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-section-title qodef-alignment--left\">\n\t\t<h2 class=\"qodef-m-title\" style=\"color: #1D2733\">\n\t\t\t\t\tThe Proprietary Dual Engine Approach: Adaptive Scientific Robustness\t\t\t<\/h2>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0e781bc elementor-widget elementor-widget-text-editor\" data-id=\"0e781bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><span style=\"font-weight: 400;\">The answer to a fluid market is not downward standardization, but scientific robustness capable of dynamically adapting to business ambitions. Core Analytics&#8217; proprietary model maximizes return on investment through a hybrid approach, the <\/span><b>Dual Engine<\/b><span style=\"font-weight: 400;\">, which combines Frequentist and Bayesian statistics in parallel:<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f7d035 elementor-widget elementor-widget-text-editor\" data-id=\"1f7d035\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>(comparative table between frequentist and Bayesian statistics)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6729453 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6729453\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-54942ca\" data-id=\"54942ca\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bf48067 elementor-widget elementor-widget-text-editor\" data-id=\"bf48067\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">The result of this perfect synergy is a stability of estimates and a precision of recommendations that standard models, due to internal structural constraints, cannot achieve. This is not merely a matter of computational power, but of the superiority of the applied method. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-53f7403 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"53f7403\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bc4bbb2\" data-id=\"bc4bbb2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7f65466 elementor-widget elementor-widget-spacer\" data-id=\"7f65466\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-08b4886 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"08b4886\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-84cb686\" data-id=\"84cb686\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-02b97d0 elementor-widget elementor-widget-leroux_core_section_title\" data-id=\"02b97d0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"leroux_core_section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-section-title qodef-alignment--left\">\n\t\t<h2 class=\"qodef-m-title\" style=\"color: #1D2733\">\n\t\t\t\t\tExperience as a Critical Filter for Automation\t\t\t<\/h2>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2ab6089 elementor-widget elementor-widget-text-editor\" data-id=\"2ab6089\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">The absolute precision of an econometric model never depends exclusively on algorithms, but on the experience of those who guide its calibration. Over 25 years of model development for the main entities in the Italian economic landscape have produced a wealth of experience that no open-source framework can replicate: pattern recognition, fine calibration of priors, and the ability to distinguish a real signal from a statistical artifact. <\/span><\/p><p><span style=\"font-weight: 400; color: #000000;\">This is the true strategic differentiator. A standard model can be implemented in a few weeks, but an architecture capable of producing reliable recommendations over time requires accumulated experience measured in decades, not in simple software releases from just 3 sprints. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6fafecd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6fafecd\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3b18abc\" data-id=\"3b18abc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2032d11 elementor-widget elementor-widget-spacer\" data-id=\"2032d11\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-04303bd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"04303bd\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c1d6cb5\" data-id=\"c1d6cb5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c975acf elementor-widget elementor-widget-leroux_core_section_title\" data-id=\"c975acf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"leroux_core_section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-section-title qodef-alignment--left\">\n\t\t<h2 class=\"qodef-m-title\" style=\"color: #1D2733\">\n\t\t\t\t\tThe True Measure of ROI in 2026 Marketing\t\t\t<\/h2>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b7f28b6 elementor-widget elementor-widget-text-editor\" data-id=\"b7f28b6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400; color: #000000;\">Relying on a standardized solution may initially appear to be a prudent choice for immediate cost control. However, the return on investment of an MMM is not calculated on the purchase price of the technology, but on the effectiveness of the strategic decisions that the model itself can generate. <\/span><\/p><p><span style=\"font-weight: 400; color: #000000;\">A custom-built MMM requires a higher investment, but produces such precise allocation decisions that it fully repays the investment within a few months, continuing to generate pure incremental value for subsequent years.<\/span><\/p><p><span style=\"font-weight: 400; color: #000000;\">In the competitive marketing landscape of 2026, the correct question to safeguard business margins is not &#8220;how much does MMM cost,&#8221; but &#8220;how much does a wrong recommendation cost me, multiplied by every month it remains in production.&#8221; Choosing Core Analytics means transforming measurement into a certainty of profit. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f15f918 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f15f918\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b7ed364\" data-id=\"b7ed364\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-53061bd elementor-widget elementor-widget-spacer\" data-id=\"53061bd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8ab8b7b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8ab8b7b\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-644ea26\" data-id=\"644ea26\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-70147b2 elementor-widget__width-initial elementor-widget elementor-widget-qi_addons_for_elementor_section_title\" data-id=\"70147b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"qi_addons_for_elementor_section_title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-qi-section-title qodef-decoration--italic qodef-link--underline-draw qodef-subtitle-icon--left\">\n\t\t\t<h3 class=\"qodef-m-title\">\n\t\tIs Your Model Accurate?\t<\/h3>\n\t\t\t\t\t\t<div class=\"qodef-m-text\"><p><strong>It certainly could be.<\/strong><\/p><p>Learn more about attribution models by booking a call with our team.<\/p><\/div>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5f4bf27 elementor-widget elementor-widget-spacer\" data-id=\"5f4bf27\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a15e61 elementor-widget elementor-widget-html\" data-id=\"1a15e61\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<a class=\"button-calendly\" href=\"\" onclick=\"Calendly.initPopupWidget({url: 'https:\/\/calendly.com\/coreanalytics-info\/discovery-chat'});return false;\">\n<span>Book Your Slot<\/span>\n<svg class=\"qodef-svg--button-arrow\" width=\"10\" height=\"10\" viewbox=\"0 0 9.8 9.8\"><g><path d=\"m.4 9.4 9-9\"><\/path><path d=\"M.4.5h8.9\"><\/path><path d=\"M9.3 9.4V.5\"><\/path><\/g><g><path d=\"m.4 9.4 9-9\"><\/path><path d=\"M.4.5h8.9\"><\/path><path d=\"M9.3 9.4V.5\"><\/path><\/g><\/svg>\n<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The Economic Impact of Accuracy: Why a Custom MMM Generates Immediate Profit When evaluating the adoption of a Marketing Mix Modeling (MMM) framework, the question often arises whether to rely on standard frameworks or invest in a custom-developed model. Economic reality demonstrates that a personalized MMM is not merely a cost, but a strategic asset [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":15862,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84,85],"tags":[86,87,88],"class_list":["post-15861","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-economy-2","category-investment-2","tag-analysis-2","tag-stocks-2","tag-trading-2"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Economic Impact of an Accurate Model - Core Analytics<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/coreanalytics.it\/en\/2023\/02\/06\/the-economic-impact-of-an-accurate-model\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Economic Impact of an Accurate Model - Core Analytics\" \/>\n<meta property=\"og:description\" content=\"The Economic Impact of Accuracy: Why a Custom MMM Generates Immediate Profit When evaluating the adoption of a Marketing Mix Modeling (MMM) framework, the question often arises whether to rely on standard frameworks or invest in a custom-developed model. 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