<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
  <title>tea, Learning</title>
  <link>https://tiny-econometrics.com/learning</link>
  <atom:link href="https://tiny-econometrics.com/learning/feed.xml" rel="self" type="application/rss+xml"/>
  <description>Econometrics for marketing decisions, one case at a time.</description>
  <language>en</language>
  <lastBuildDate>Mon, 05 Oct 2026 00:00:00 GMT</lastBuildDate>
  <item>
    <title>Share of voice when your monitoring service misses digital spend</title>
    <link>https://tiny-econometrics.com/learning/competitive-pressure/share-of-voice-missing-digital-spend</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/competitive-pressure/share-of-voice-missing-digital-spend</guid>
    <pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate>
    <category>Competitive Pressure</category>
    <description>A mattress brand read a 30% share of voice from monitoring data blind to digital. Three honest definitions gave three opposite answers. What to do instead.</description>
  </item>
  <item>
    <title>Scenario simulation: testing a budget shift before you commit</title>
    <link>https://tiny-econometrics.com/learning/scenario-simulation/scenario-simulation-budget-shift</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/scenario-simulation/scenario-simulation-budget-shift</guid>
    <pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate>
    <category>Scenario Simulation</category>
    <description>What happens when a quarter of the budget moves from Meta to Google? How a fitted scenario simulation with uncertainty bands answers before you spend.</description>
  </item>
  <item>
    <title>When the past is not a baseline: forecasting after a lost account</title>
    <link>https://tiny-econometrics.com/learning/baseline-forecast/baseline-forecast-one-off-shock</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/baseline-forecast/baseline-forecast-one-off-shock</guid>
    <pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate>
    <category>Baseline Forecast</category>
    <description>A pasta maker lost a customer worth 18% of volume. A baseline fitted across the break forecast a decline that was not there. Why, and how to rebuild it.</description>
  </item>
  <item>
    <title>Cost per GRP vs return: why the dearest TV slots work the least</title>
    <link>https://tiny-econometrics.com/learning/budget-optimization/cost-per-grp-tv-return</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/budget-optimization/cost-per-grp-tv-return</guid>
    <pubDate>Sun, 04 Oct 2026 00:00:00 GMT</pubDate>
    <category>Budget Optimization</category>
    <description>Eight TV dayparts plotted by cost per GRP against return per euro. Learn why the most expensive GRPs return the least and how to plan the trade.</description>
  </item>
  <item>
    <title>Price elasticity of -1.4 and why a 5% price rise still paid</title>
    <link>https://tiny-econometrics.com/learning/price-elasticity/price-elasticity-five-per-cent-rise</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/price-elasticity/price-elasticity-five-per-cent-rise</guid>
    <pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate>
    <category>Price Elasticity</category>
    <description>A household-goods brand feared a 5% list-price rise. Elasticity -1.4 on relative price showed volume would hold if the rise travelled with the category.</description>
  </item>
  <item>
    <title>Cross-price elasticity: telling real rivals from shelf neighbours</title>
    <link>https://tiny-econometrics.com/learning/cross-elasticity/cross-price-elasticity-rivals</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/cross-elasticity/cross-price-elasticity-rivals</guid>
    <pubDate>Sat, 03 Oct 2026 00:00:00 GMT</pubDate>
    <category>Cross-Elasticity</category>
    <description>How cross-price elasticity and its confidence interval reveal which competitors actually take your volume and which only sit nearby on the shelf.</description>
  </item>
  <item>
    <title>Subscription growth from marketing, or a slope already there</title>
    <link>https://tiny-econometrics.com/learning/trend-analysis/subscription-growth-before-marketing</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/trend-analysis/subscription-growth-before-marketing</guid>
    <pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
    <category>Trend Analysis</category>
    <description>A coffee subscription credited 4,080 new subscribers to its campaigns. The trend, held fixed, said 855 of them. The budget doubling did not happen.</description>
  </item>
  <item>
    <title>Promotional elasticity: what each point of discount buys in volume</title>
    <link>https://tiny-econometrics.com/learning/promo-elasticity/promo-elasticity-discount-volume</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/promo-elasticity/promo-elasticity-discount-volume</guid>
    <pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
    <category>Promo Elasticity</category>
    <description>How promotional semi-elasticity measures the volume a discount buys, why the response is a smooth curve and why uplift alone is not a verdict.</description>
  </item>
  <item>
    <title>Why flat always-on spend makes carryover impossible to measure</title>
    <link>https://tiny-econometrics.com/learning/lag-carryover/flat-spend-hides-carryover</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/lag-carryover/flat-spend-hides-carryover</guid>
    <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
    <category>Lag &amp; Carryover</category>
    <description>An insurer asked how long paid social keeps working. Seventy weeks of identical spend made adstock unmeasurable. What to run instead: pulses or a geo test.</description>
  </item>
  <item>
    <title>Price elasticity of demand: what a 1% price rise really costs</title>
    <link>https://tiny-econometrics.com/learning/price-elasticity/price-elasticity-of-demand</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/price-elasticity/price-elasticity-of-demand</guid>
    <pubDate>Thu, 01 Oct 2026 00:00:00 GMT</pubDate>
    <category>Price Elasticity</category>
    <description>How to estimate price elasticity from weekly data with promotions and competitor prices controlled, and what an elasticity of -1.5 means for revenue.</description>
  </item>
  <item>
    <title>Excess share of voice: where a challenger brand actually gained</title>
    <link>https://tiny-econometrics.com/learning/competitive-pressure/challenger-brand-excess-share-of-voice</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/competitive-pressure/challenger-brand-excess-share-of-voice</guid>
    <pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate>
    <category>Competitive Pressure</category>
    <description>A challenger oat drink brand spent above its share and grew. The pressure index by period showed most of the gain came in three quiet quarters.</description>
  </item>
  <item>
    <title>Budget optimisation: reallocating the same media budget for uplift</title>
    <link>https://tiny-econometrics.com/learning/budget-optimization/budget-optimisation-same-budget</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/budget-optimization/budget-optimisation-same-budget</guid>
    <pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate>
    <category>Budget Optimization</category>
    <description>What a media budget optimiser recommends on the same total spend, and the three caveats to state before anyone quotes the modelled uplift.</description>
  </item>
  <item>
    <title>A baseline forecast for the budget: 3% of the 8% was already coming</title>
    <link>https://tiny-econometrics.com/learning/baseline-forecast/baseline-forecast-budget-target</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/baseline-forecast/baseline-forecast-budget-target</guid>
    <pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
    <category>Baseline Forecast</category>
    <description>A homeware retailer set next year at last year plus 8%. The business-as-usual baseline showed 3% was already in the trajectory. How that changed the plan.</description>
  </item>
  <item>
    <title>Base vs incremental sales: what marketing really added in a year</title>
    <link>https://tiny-econometrics.com/learning/base-vs-incremental/base-vs-incremental-sales</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/base-vs-incremental/base-vs-incremental-sales</guid>
    <pubDate>Tue, 29 Sep 2026 00:00:00 GMT</pubDate>
    <category>Base vs Incremental</category>
    <description>How separating base sales from incremental sales shows what marketing added, and why every efficiency metric measures a mixture until you do.</description>
  </item>
  <item>
    <title>Price elasticity when your shelf price never moved in three years</title>
    <link>https://tiny-econometrics.com/learning/price-elasticity/price-elasticity-without-price-variation</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/price-elasticity/price-elasticity-without-price-variation</guid>
    <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
    <category>Price Elasticity</category>
    <description>A premium coffee brand held one shelf price for three years and asked what a rise would cost. With no price variation there is no elasticity to estimate.</description>
  </item>
  <item>
    <title>Contribution decomposition: when price takes away what media adds</title>
    <link>https://tiny-econometrics.com/learning/contribution-decomposition/contribution-decomposition-price-vs-media</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/contribution-decomposition/contribution-decomposition-price-vs-media</guid>
    <pubDate>Mon, 28 Sep 2026 00:00:00 GMT</pubDate>
    <category>Contribution &amp; Driver Decomposition</category>
    <description>A contribution chart that keeps negative drivers shows price removing almost as much revenue as media added. Learn why both belong on one chart.</description>
  </item>
  <item>
    <title>Trend analysis with a structural break, and why one line lies</title>
    <link>https://tiny-econometrics.com/learning/trend-analysis/one-trend-line-two-regimes</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/trend-analysis/one-trend-line-two-regimes</guid>
    <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
    <category>Trend Analysis</category>
    <description>A crisps brand fitted one trend line to 78 weeks that held a national listing. The line averaged two businesses. Why it fails, and what to do instead.</description>
  </item>
  <item>
    <title>How much did marketing add? Splitting a year into base and lift</title>
    <link>https://tiny-econometrics.com/learning/base-vs-incremental/how-much-marketing-added</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/base-vs-incremental/how-much-marketing-added</guid>
    <pubDate>Sun, 27 Sep 2026 00:00:00 GMT</pubDate>
    <category>Base vs Incremental</category>
    <description>The question every client asks once a year, answered as a split in euros: incremental revenue against base demand, with the statistics to check it.</description>
  </item>
  <item>
    <title>Adstock and the outdoor burst that was judged on the wrong week</title>
    <link>https://tiny-econometrics.com/learning/lag-carryover/outdoor-burst-judged-on-the-wrong-week</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/lag-carryover/outdoor-burst-judged-on-the-wrong-week</guid>
    <pubDate>Sat, 26 Sep 2026 00:00:00 GMT</pubDate>
    <category>Lag &amp; Carryover</category>
    <description>A furniture retailer nearly cut an outdoor and radio burst that looked flat on week-of sales. Adstock showed most of the effect arrived after it ended.</description>
  </item>
  <item>
    <title>Saturation curves: reading the bend and its confidence interval</title>
    <link>https://tiny-econometrics.com/learning/saturation-curves/saturation-curve-bend-interval</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/saturation-curves/saturation-curve-bend-interval</guid>
    <pubDate>Sat, 26 Sep 2026 00:00:00 GMT</pubDate>
    <category>Saturation Curves</category>
    <description>How a fitted saturation curve shows diminishing returns on TV spend, and why the interval around the bend matters more than the point estimate.</description>
  </item>
  <item>
    <title>Adstock and carryover: how long a media euro keeps working</title>
    <link>https://tiny-econometrics.com/learning/lag-carryover/adstock-carryover-media-half-life</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/lag-carryover/adstock-carryover-media-half-life</guid>
    <pubDate>Fri, 25 Sep 2026 00:00:00 GMT</pubDate>
    <category>Lag &amp; Carryover</category>
    <description>Media effects decay at different speeds by channel. Learn what adstock half-life is and why short reporting windows undervalue long-memory media.</description>
  </item>
  <item>
    <title>Seasonality analysis: how much of your revenue is just the calendar</title>
    <link>https://tiny-econometrics.com/learning/seasonality-event/seasonality-revenue-calendar</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/seasonality-event/seasonality-revenue-calendar</guid>
    <pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate>
    <category>Seasonality &amp; Event Impact</category>
    <description>Month effects, weekday effects and dated events explain most of a retail series. Learn why campaigns must be judged net of seasonality.</description>
  </item>
  <item>
    <title>Time series forecasting: why the interval is the real forecast</title>
    <link>https://tiny-econometrics.com/learning/time-series/time-series-forecast-interval</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/time-series/time-series-forecast-interval</guid>
    <pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate>
    <category>Time Series (ARIMA)</category>
    <description>What a SARIMAX forecast of weekly installs teaches about memory, seasonality and why quoting the line without its band turns a range into a promise.</description>
  </item>
  <item>
    <title>Baseline forecast: the business-as-usual benchmark for campaigns</title>
    <link>https://tiny-econometrics.com/learning/baseline-forecast/baseline-forecast-business-as-usual</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/baseline-forecast/baseline-forecast-business-as-usual</guid>
    <pubDate>Tue, 22 Sep 2026 00:00:00 GMT</pubDate>
    <category>Baseline Forecast</category>
    <description>Why a Holt-Winters baseline forecast is the only fair benchmark for a campaign, and how it changes what a 6% revenue rise really means.</description>
  </item>
  <item>
    <title>Trend analysis: separating structural growth from marketing</title>
    <link>https://tiny-econometrics.com/learning/trend-analysis/trend-analysis-structural-growth</link>
    <guid isPermaLink="true">https://tiny-econometrics.com/learning/trend-analysis/trend-analysis-structural-growth</guid>
    <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
    <category>Trend Analysis</category>
    <description>How a fitted trend line separates the growth a business was always going to have from what campaigns added, with slope, R² and honest p-values.</description>
  </item>
</channel>
</rss>
