D&B Lattice (formerly Lattice Engines) was a Predictive Lead Scoring solution that blended the contact profile and behavioral information from Marketing Automation systems with additional attributes that could contain hidden buying signals. The product has been discontinued.
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StackAdapt
Score7.2 out of 10
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StackAdapt, headquartered in Toronto offers their native advertising specialized DSP, supporting programmatic advertising with audience discovery, B2B targeting, and engagement analytics among other features.
Lattice has been difficult to work with in the past few months. We've struggled internally to try and improve their models, but it hasn't proven itself to offer substantial value. We're able to suppress low quality leads, but Lattice also promotes some questionable leads at times and also grades high potential leads as low scoring. We've tried time and time again to improve the model, but they haven't offered much in terms of help or partnership.
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StackAdapt's programmatic buys are great for a quick awareness campaign to reach the most eyeballs. Solid user segmentation from 3rd party sources that is available almost immediately. The platform is less proficient at converting users, though I've never had sufficient volume to test if this works better for enterprise-level clients with more conversion data
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Ease of use. It is a no brainer for our sales teams. They go through just 10 minutes of training. It is very prescriptive and clear. There is a minimal amount of flipping to get through what they need to. Everything is just on one screen.
Integration to Salesforce.com. The level of integration today is moderate. It integrates opportunity to opportunity. As soon as a sales person converts, it flows.
They are highly responsive as a vendor. If there’s a field that we want to add, they will adapt the product for us very quickly.
The model for professional services (fee based) is very flexible. It’s as much as you need. They advocate high service level for ramping new regions, and are very flexible with feet on the ground and helping out.
Audience targeting - there are so many options for both B2C and B2B audiences, from browsing behavior audiences to account-based marketing audiences to CRM lists. There's a way to find your ideal audience no matter their industry.
Pixel setup and management are pretty easy. It uses a universal pixel that you can easily place on your site. We use Google Tag Manager for this. Then, you can create any number of conversion events and easily implement them, also with Google Tag Manager, so we can trust we're getting good tracking.
It seems many display ad platforms lack optimization tools, but StackAdapt makes it easy to adjust, add, or remove audiences, pause certain website categories, exclude batches of websites, pause individual ads, and really fine-tune the targeting as you see what works and what doesn't.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Detailed technographic information - we had a lot of issues with Lattice not being able to identify specific technologies being used by a company, which would be able to provide us materially different context as a seller.
Model is built once and is static until refreshed - do not get meaningful feedback into the model in real-time
Hard to identify which attributes are meaningful enough to include as enrichment in SFDC.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
There has been occasional slopping maintenance of the campaigns, and we have to follow up with questions about spending spikes or significant changes in delivery CPMs.
Account rep knowledge can sometimes be lacking. When we question our reps about performance, we sometimes get confusing or nonsensical answers.
The reporting UI is definitely clunky and unintuitive.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I will continue to use PRISM, especially now, because I after 3 years in the same geography, I have just transferred to a new territory. The tool really helps me focus on the best opportunities to pursue, which can sometimes be difficult with over 100 assigned accounts
The platform is easy to use and understand whether it is being used as self-serve or a managed service. The audience targeting is solid, and array of placements is versatile. With these, the level of engagement for video content is usually great
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The product is part of a service. The team from Lattice did a great job of supporting us and of delivering the results we set out to attain. They became an integral part of our success.
It is very user friendly and if any team members need further help, we are able to easily access their customer service team for hands on assistance with an actual human being, not a robot. Their team has been incredibly kind, understanding and thorough. It is really a great all in one tool for a business who relies greatly on advertising campaigns.
Support has been exceptional. Our dedicated team is always available and ready to answer any questions that may arise. We receive updates from them on a regular basis and they go above and beyond providing assistance when needed. The team is absolutely one of the bright spots in our relationship with StackAdapt
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Please see my answers to the previous question. We had very good feedback from our product management, strategy and sales leadership and reps regarding our training.
The implementation hit the milestones we established. Lattice was VERY committed to helping us make sure what we committed back to the organization was met.
Lattice was an incumbent tool from several years ago. Early on, we enjoyed a good relationship with the team there. After the acquisition, we have definitely seen a decrease in the quality of support and engagement from the team. As a result, we will look at several competing vendors when our contract ends with Lattice.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
StackAdapt is significantly less expensive than The Trade Desk. StackAdapt doesn't have campaign minimums, unlike The Trade Desk, meaning you can experiment with a lower ad spend to gain client confidence before investing at a larger level. Plus they don't lock you into an annual contract or anything long term. It feels very similar to The Trade Desk but without the high contract.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have seen quantifiable ROI when our reps have used the product to target accounts. In a recent example we found that accounts that targeted these "hi-po" accounts identified by using Lattice analytics created over $27M in pipeline over a month long period for a key product we are interested in selling more of to customers, compared to a less than $1M for accounts that were not identified as "hi-po".
Excellent traffic from our ads. Traffic exceeded our forecast.
Excellent management of our budget. We did not spend near as much as we budgeted for the response we received through our test.
The lead conversion was not expected to be high due to the type of content we deployed, but we received zero conversions, well below anticipated when compared to other ads for the same content.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
