LocaliQ is a marketing platform that helps businesses attract and retain ideal customers with a suite of AI lead management and digital agents, marketing automation, omnichannel campaign management, advanced reporting, and expert-led services.
N/A
OpenAI API Platform
Score9.1 out of 10
N/A
The OpenAI API platform provides a simple interface to AI models for text generation, natural language processing, computer vision, and other purposes.
$0
per 1K tokens
Pricing
LocaliQ
OpenAI API Platform
Editions & Modules
No answers on this topic
Ada
$0.0008
per 1K tokens
Babbage
$0.0012
per 1K tokens
Curie
$0.0060
per 1K tokens
Davinci
$0.0600
per 1K tokens
Offerings
Pricing Offerings
LocaliQ
OpenAI API Platform
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
LocaliQ offers both self-serve and premium solutions.
LocaliQ’s free, self-serve experience provides access to Free Website Grader, Free Inbound Call Recorder, Chatbot (free and $9.99/month options available), Scheduling Technology (free and $9.99/month options available), and Listings solutions ($9.99/month and $14.99/month options available).
For LocaliQ's premium solutions, users are partnered with a LocaliQ expert to create the best marketing plan for their businesses that utilizes a full suite of marketing products.
LocaliQ is well-suited, in our experience, for B2B marketing and, specifically, hyper-targeted and personalized marketing efforts. The geofencing capability is excellent at helping us deliver messages literally to the doorsteps of our target prospects. The proprietary software they use for this targeting is worth the money, and their reps, specifically Nikki Rowell and Sarah Pena, are fantastic and delightful people to work with. The only scenario that was slightly underwhelming was LinkedIn. Their tools don't deliver any additional value to LinkedIn ad campaigns, so it's not worth paying LocaliQ to run these campaigns; we can run them ourselves, which doesn't require much effort. That is just a small downside. We are extremely pleased with LocaliQ and their whole team.
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
For smaller organizations that run lean and would like to get to deploy a solution quickly. This is a solution that is easy and quick to develop. It has a good amount of customization. However, for advanced customization this might not be a good solution. I suggest experimenting with OpenAI API and then if the experimentation is successful then it is a good idea to optimize and try other LLM models.
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
ThriveHive is a smaller marketing team dedicated to helping small to medium sized businesses perfect their marketing messages. ThriveHive is particularity good at understanding how Google, and other search engines work, and have been instrumental in helping my company to grow and evolve.
With ThriveHive, you get a dedicated coach who is matched to your type of business. This experience with similar businesses gives your coach a better understanding of your business and the challenges your company faces.
My coach is very good at responding to my needs within 1 to 2 business days. Email contacts are fluent and as often as I need, to discuss ideas or questions. I can only speak of my relationship with my coach, and I am very pleased.
I feel that ThriveHive makes every effort to take excellent care of their clients, and makes you feel like you are their most important customer. I definitely believe that this is one of ThriveHives' greatest assets.
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
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
LocaliQ could improve how it tracks and reports on customer journeys across those channels to provide a clearer view of ROI.
The pricing structure is not fully transparent, making it hard to understand the true costs associated with campaigns. Breaking down the fees associated with LocaliQ would make budgeting easier.
LocaliQ is able to provide basic ad creative, but there tends to be a disconnect between our brand voice and what is expected with creative. It would be nice to be able to get all design work within LocaliQ rather than have to use and outside designer all the time.
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. TR verified that a representative sample of customers was invited. More Info
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
Overall usability pretty good. If we would have gotten better return on our advertising dollar I would have continued with them - their dashboard was very easy to use and the recaps they provided were helpful. They try to put data in bite-sized pieces for the client that are understandable (unlike google's reporting page itself which can be a bit difficult to understand at times). Their team was friendly, semi-responsive, and provided explanations when requested
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. TR verified that a representative sample of customers was invited. More Info
Easy to setup, develop and deploy. The payload for the API is simple and has all the inputs required for simple projects. There are a good number of options of LLM models to optimize for speed, cost or quality of the answers. A larger token input might improve the overall usability.
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
LocaliQ is more economical that marketing agencies we've used in the past. Our dollar goes farther. We've also used services from phonebook providers that were getting into the online advertising field. At the time, it was just being introduced so the reps knowledge on the topic was quiet limited.
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. TR verified that a representative sample of customers was invited. More Info
Anthropic is only the best for coding and its really really expensive. So, if you're not making a coding app, I would stay away from it. On the other hand, Gemini models are dirt cheap but come with a bit of performance limitations, so i would use it for big volume non sofisticated use cases. The OpenAI API platform excels at providing best in class performance models, at not outrageous anthropic-like pricing.
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
As mentioned prior, their ability to utilize and maximize our resources so that we receive the best results on all avenues of marketing and advertising. We see better lead generation, brand recognition and top of mind awareness due to LocaliQ efforts
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. TR verified that a representative sample of customers was invited. More Info
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. TR verified that a representative sample of customers was invited. More Info
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
