Fu
Full-Service Klaviyo Email & SMS Agency, $100k ARR, $40k+ Expected Next 12 Month Profit, 4 Retainers
Acquire.comWe’re a fully remote Klaviyo email marketing agency who specialise in delivering high-performance email campaigns, automated flows, as well as a focus on a number of other areas such as: - Email design - Deliverability - Segmentation - Strategy / planning - HTML / CSS / Python - Klaviyo apps / integrations - SMS / WhatsApp marketing We have worked with over 40 businesses since starting the agency back in January 2023 and these businesses range from coffee, fashion, beauty, mental health, sp...
Share cardActual performance
$8,333/yr
Made the leaderboard
Traction signals
Asking price$75,000
Annual revenue$100,000
Revenue multiple0.8x
Launch Intel predictions
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comFits revenue-generating acquisition profile · Strong signals: arr, profit · Missing: mrr, revenue, saas70%70% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps, month · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps, email · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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