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Consistent iteration keeps the offers fresh and profit‑driven. --- --- --- --- Implementing Geo‑Targeted Push Notifications --- --- --- --- Use a dedicated IP‑geolocation API (e.g., MaxMind, IP2Location) to resolve user location before sending a push. Perform the lookup at the moment the device token is stored, then persist the country, region, and city fields in your user table. --- --- --- --- --- 1. Capture the token via your mobile SDK; immediately call the geolocation endpoint with the client’s IP address. --- --- --- --- --- --- 2. Store the result in a separate column (e.g., geo_country, geo_city) to enable fast segment queries. --- --- --- --- --- 3. Create audience segments using SQL conditions such as WHERE geo_country = 'DE' AND app_version >= 3.5. --- --- --- --- --- 4. Compose messages that reference local landmarks or language; keep the payload under 2 KB to respect device limits. --- --- --- --- --- --- 5. Schedule dispatch with a queue system (Redis, RabbitMQ) that reads the segment list and pushes to the notification service (Firebase, OneSignal). --- --- --- --- Key Performance Indicators --- --- --- --- Track click‑through rate (CTR) per region, average time from receipt to action, and conversion ratio against a baseline campaign without geo‑filtering. Aim for a CTR increase of 12‑18 % and a conversion lift of at least 5 % in the targeted zones. --- --- --- --- Automation Tips --- --- --- --- Set up a nightly job that refreshes the IP‑to‑location mapping for users whose IP address may have changed; this prevents stale data from skewing segment accuracy. 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[[https://en.wiktionary.org/wiki/Replace Replace]] any flagged entry with a placeholder notice until manual review completes. --- --- --- --- Measuring ROI with custom conversion funnels --- --- --- --- Implement a three‑stage funnel–click, sign‑up, first deposit–and assign a dollar value to each completed stage. For example, if the average first‑deposit amount is $150, attribute $150 to the final step. --- --- --- --- --- Calculate net profit per funnel: --- --- --- --- --- --- Net profit = Total revenue – Advertising spend – Transaction fees. --- --- --- --- --- --- If you spend $12,000 on a campaign, generate $68,000 in deposits, and incur $3,000 in fees, net profit equals $53,000. --- --- --- --- --- Derive ROI with the formula ROI = (Net profit / Advertising spend) × 100%. Using the numbers above, ROI = (53,000 / 12,000) × 100% ≈ 442%. --- --- --- --- --- Track each stage using unique UTM parameters and a server‑side event logger. Export the event log to a spreadsheet or BI tool, then run a pivot that groups by source/medium and sums the monetary values. --- --- --- --- --- Set thresholds for acceptable ROI per channel. If a source shows ROI below 150%, reallocate budget to higher‑performing sources. Document the threshold and review it weekly. --- --- --- --- --- Run A/B tests on landing‑page variants. Assign the same funnel to both groups, record conversion counts, and compute ROI for each. A statistically significant lift of 10% in ROI justifies the design change. --- image class="left" url="https://picography.co/page/1/600" --- --- --- --- Integrate the funnel data with a predictive model. Feed historical ROI, spend, and seasonal variables into a regression algorithm to forecast next‑month ROI. Adjust the upcoming budget based on the forecasted ROI margin. ---