Welcome to “Inceptly’s Weekly Marketing Recap!,” your go-to source for the three most compelling articles of the week.
Whether you’re a marketing pro, an aspiring marketer, or simply someone interested in the ever-evolving marketing world, this blog is your ticket to staying informed and inspired.
Let’s dive right in and explore the top three must-read articles of the week.
1. How small-scale collaborations are reshaping influencer marketing
Imagine a world where your brand’s message spreads like wildfire, not through celebrity endorsements or flashy ads, but through genuine conversations between friends.
Welcome to the era of micro-influencers, where authenticity reigns supreme and engagement rates soar.
This article will equip you with the insights and strategies to harness the power of these small-scale content creators, potentially transforming your marketing approach and connecting with your audience in ways you never thought possible.
Prepare to discover why in the influencer world, sometimes less really is more.
Read the whole article here.
2. New Monetization Opportunities: Facebook Rolls Out Beta for All Content Formats
Meta has introduced Facebook Content Monetization beta, a new program designed to expand earning opportunities for creators by merging three existing monetization programs — In-stream ads, Ads on Reels, and the Performance Bonus. Now, creators can earn from a variety of content formats including Reels, longer videos, photos, and text posts.
Facebook Content Monetization uses the same performance-based payout model that powers Ads on Reels and In-stream Ads. Creators’ earnings will continue to be based on the performance of their eligible content, but now they have the opportunity to earn from more formats.
Read the whole article here.
3. A/B testing: A powerful tool for data-driven decision-making
A/B testing, a cornerstone of digital marketing, is a methodology used to compare two or more versions of a web page or app element to determine which performs better based on specific metrics. By systematically testing different variations, businesses can make data-driven decisions to optimize user experience, increase conversions, and ultimately improve their bottom line.
A/B testing is important in ensuring the fairest testing of specific variables in real time and in different conditions. It’s essential that tests are conducted with split testing of just 1 variable at a time so you can easily pinpoint what exactly caused a drop or increase in performance in the experiment campaign compared to the base one.
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