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(Im)proving Content’s Impact Using Marketing Data Analytics

Contently

Marketers can de-emphasize poorly performing platforms and formats and invest more in higher-performing alternatives. You need to track it over time, clean the data, de-duplicate it, and validate that it complies with your organization’s governance policies. That can increase the ROI from content marketing.

Analytics 117
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How to improve marketing ROI with clean data

Martech

Things like missing data, bad or old data, siloed data over to the side, duplicates spanning across multiple systems.” Watch the full presentation from MarTech here (free registration required). . “When we took that deep dive, we found that there were some things clouding that view. Automating the processes.

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Visible and invisible tech stacks, and the upsides and downsides of “shadow IT” in martech and beyond

chiefmartech

The three main reasons: It may be wasted spend, duplicative of existing IT-approved licenses. It may be ungoverned by IT, presenting security and compliance risks. But it does present a non-trivial trade-off. One step is to de-couple technical approval and financial approval for apps used by individuals and teams.

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Black Hat SEO: 19 Short-Sighted SEO Tactics that Will Kill Your Rankings

seo.co

Duplicate content. + Black hat tactics waste time and money while putting your entire site at risk of being de-indexed and/or blacklisted entirely. Worst case scenario, your entire domain name could get de-indexed or even blacklisted from Google and other search engines. . + 9 black hat content marketing tactics to avoid. +

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The 2023 B2B Data Buyer’s Guide For RevOps Leaders

SalesIntel

Data that is duplicated, erroneous, and harmful to your success. When incorrect or misspelled data is entered into a system or entered into the wrong place (such as a duplicate), it can result in data consistency, good data hygiene, and deterioration. Is there a grading system in place for the customers and possibilities presented?

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Machine Learning Problems: The Easy Parts

Contify

So, we implemented de-duplication algorithms to significantly reduce the resources required to process the information in these documents. We therefore had to write our own version of hierarchical clustering that returns a large number of tight clusters or duplicates. just rephrased. Entity Identification. Named Entities.

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Machine Learning Problems: The Easy Parts

Contify

So, we implemented de-duplication algorithms to significantly reduce the resources required to process the information in these documents. We therefore had to write our own version of hierarchical clustering that returns a large number of tight clusters or duplicates. just rephrased. Entity Identification. Named Entities.