UK company Lead Forensics offers their eponymous platform for lead generation and web analytics.
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Parse.ly
Score 7.8 out of 10
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Parse.ly is a content optimization platform for online publishers. It provides in-depth analytics and helps maximize the performance of the digital content. It features a dashboard geared for editorial and business staff and an API that can be used by a product team to create personalized or contextual experiences on a website.
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Pricing
Lead Forensics
Parse.ly
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Lead Forensics
Parse.ly
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
Additional Details
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More Pricing Information
Community Pulse
Lead Forensics
Parse.ly
Features
Lead Forensics
Parse.ly
Web Analytics
Comparison of Web Analytics features of Product A and Product B
When you have people coming to your website and you want to know which pages they look at, how long they are there, and when they leave. Also when you want to know their industry, their company, and what led them to your website. You can really get a customer profile.
For people working in online media, or digital content creators, the platform could help them understand their audience and allow them to interact with them in a user-friendly way. Since the digital media industry is booming, Parse.ly can allow the user and the content creators to meet each other's demands and reduce redundancies and bombard the users with unnecessary content.
Lead Forensics helps us see which companies are visiting our site, even if they don’t fill out a form. This gives us a chance to reach out to businesses that are already showing interest but might not have contacted us yet.
Instead of cold-calling random prospects, we can see which pages a company has viewed and how often they return. This helps us tailor our conversations based on what they’re actually interested in.
The Lead Forensics support team has been great whenever we’ve had questions. They’re quick to respond and always ready to help, whether it’s troubleshooting an issue or offering advice on how to get the most out of the platform.
Real-time metrics are great and help us decide what content to follow up on.
Audience segmenting is key, helps us determine where we're strong and where we're not.
Historical metrics are also helpful in helping us see what readers come back to overtime, which drives decisions about what content to devote more resources to producing.
Better updates on companies' current names. Often if a company was a different company years ago it still says the old company name which is confusing.
Better identifying the correct location. Sometimes it seems like that the location coming up is the wrong location.
Giving a better understanding of how they got to the website would help too. Often is says "direct" but I would like to know if it was via a link from an email or what
Cost is always a factor when considering any renewal, so we will always see how that compares to other offerings, but we have been pleased with the functionality from Parse.ly. Importantly, it has engaged news teams, and writers can easily assess their own performance--it is not just a management tool. This wider take-up makes it more likely that we would renew.
Lead Forensics dashboard is fantastic. Lets me see what companies are hitting what parts of the website so I know what to offer them. Often times I’ll offer one thing, only to get told no. Then the client goes to the website and pokes around at other things we offer. Then they reach out to me asking about different services, or next time I reach out I can offer what they were looking at.
The Parse.ly platform is very user-friendly and easy to use. User management is simple, and reporting setup only takes a few minutes. They provide very helpful documentation for implementing the scripts on your site and have great customer support to help with custom development such as implementing their content recommendation engine.
[Their] support is great, [whether] you call or send in an email. They are always friendly and willing to help. Anytime I can’t figure something out and need to reach out, I always get a response back quick[ly] - and they will always offer to go in and make the change, but I like when they show me so I can do it next time.
Seems to be more bugs than I encounter in Google Analytics, but Parse.ly is always very quick to answer my questions or fix something. It seems like most of my issues are due to communications around my requests being outside of the package we pay for with this tool (i.e., only two years of data).
I’ve used SalesIntel primarily for contact data, but I haven’t explored its web tracking features. What sets Lead Forensics apart is how quickly it delivers actionable insights from site visits. It helps me identify engaged accounts and prioritize follow-up without extra effort. For our needs, Lead Forensics offered a more immediate impact on sales productivity and customer engagement.
Parse.ly excels in providing detailed insights into how users are interacting with specific pieces of content, allowing us to make data-driven decisions about content strategy and optimization. Its real-time reporting also provides us with immediate feedback on the effectiveness of content changes, which is particularly important for content-heavy sites that need to iterate quickly.
We are still in the very early stages of using Lead Forensics for our agency, but I can see that it could already be very useful to us as we haven't had insights like this previously.
Our very first use case with Lead Forensics was with a brand-new client and I would say it went exceptionally well. We were running a large media campaign for them, and it was very insightful to see how those specific businesses were getting to the site and what page they were going to. Like mentioned previously, this helped their very small sales team to go after businesses they know were interested in them.
Sometimes in meetings our editorial director will point out stories that didn't perform well. To us, that means readers don't really care about the topic, so we'll pivot away from writing about that in the future. That might not be "business objectives" though.