Want to send an email to people who follow your account?
Or to those who follow your competitors?
Or just build a personalized audience for retargetting?
Here’s the solution
All you need to do is sit back, relax with a cup of coffee, and in under 2 minutes, we will enrich your Twitter account list with email addresses.
Here are the steps to follow.
You have LinkedIn Sales Navigator, and you want to get the mobile phone number and verified email addresses for each person on your search.
You can do it in less than 2 minutes with Datagma, here is how.
You’ve successfully scraped some LinkedIn data using tools like Evaboot, Captain Data, Phantombuster, TexAu, etc.
However, you must now enhance this data with verified work email addresses.
Luckily, with Datagma, you can avoid visiting each profile individually and instead submit your entire file for enrichment.
All you need to do is sit back, relax with a cup of coffee, and in under 2 minutes, we will enrich your data.
Here are the steps to follow.
Datagma returns over 60 data points about the company, including money raised, locations, number of employees, website traffic, and technologies.
There are several ways to use it, like lead scoring, CRM enrichment, or slack alerts.
Here are a few guides about how we use company data at Datagma
How to automate B2B lead prioritization with Datagma and Zapier
You are using a tool like Captain Data, Clay or Surf, and you need to integrate a phone numbers lookup API inside.
There are several elements to consider when choosing such API, but the most important are price and accuracy.
In this article, you will find a complete comparison to help you make the best choice.
One of the most important things when buying a phone numbers API is the number of phone numbers you can find.
It's useless to pay for a service that will not find anything.
So we proceeded to do a few tests; we bought subscriptions to Lusha, Apollo, Kaspr, and Datagma.
We conducted a simple experiment. First, we scraped 400 random LinkedIn profiles using Captain Data template named Search Sales Navigator Leads.
The search criteria we used were location (respectively, North America, United Kingdom and India), job title (marketing and CEO), headcount (51-200 and 5000-10,000), and industries (Software Development, Banking, and Healthcare).
We then enriched the data with phone numbers using Captain Data Integration.
Here is the result we got:
| India Sample | Datagma | Lusha | Kaspr | Apollo |
|---|---|---|---|---|
| Total numbers found | 102 | 58 | 61 | 6 |
| % of numbers found | 77% | 44% | 46% | 3% |
| Only mobile numbers | Yes | No | No | No |
Then we also did the same on a UK sample.
| UK Sample | Datagma | Lusha | Kaspr | Apollo |
|---|---|---|---|---|
| Total numbers found | 104 | 30 | 58 | 29 |
| % of numbers found | 69% | 29% | 44% | 22% |
| Only mobile numbers | Yes | No | No | No |
Some extract of our test process :
| US Sample | Datagma | Lusha | Kaspr | Apollo |
|---|---|---|---|---|
| Total numbers found | 98 | 54 | 51 | 85 |
| % of numbers found | 74% | 41% | 39% | 64% |
| Only mobile numbers | Yes | No | No | No |
Of course, these numbers must be taken into perspective with other factors. Are the number correct? Hard to say, as you need to call everyone.
But some phone numbers you paid are landline numbers; in this case, you spent way too much. In the detailed explanation below, you will see that on a list of "mobile numbers" sold by Apollo, only 11% were mobile numbers, and the other 89% was landline numbers;
After the number of phones found, the second criterion we must compare is pricing:
| Feature | Datagma | Lusha | Kaspr | Apollo |
|---|---|---|---|---|
| Price per phone number | $0.58 (Premium plan) | $0.75 (Premium plan) | $0.6 | 2$ |
| Emails included | Yes, between 3750 and 45 000 | No. 1 credit = 1 email | No. 1 credit = 1 email | Yes, 10 000 |
| Pausing account available | Yes | No | No | No |
| Credits Roll Over | Yes | Yes | Yes | No |
| Email verification | Yes, by Neverbounce | No | No | Don't know |
| API Access | Starting at $39 a month | Starting at $7000 a year | Starting at $7000 a year | Starting at $49 a month |
| Ability to only have mobile phone numbers. | Yes | No | No | No |
All services do not offer API in all their plans.
For Kaspr & Lusha you need to take the enterprise plan (named Scale on Lusha, and Custom on Kaspr) to access the API.
These plans begin at an average of $7000 a year, so it's only affordable for some.
Datagma and Apollo offer API access in all plans. They start at $39 for Datagma and &49 for Apollo.
Secondly, it's interesting to check the price paid per number.
The more expensive your plans are, the less the price per phone number is.
For example, for Lusha, in the Pro plan, the price is $0.,75 per credit; for Datagma it's 0.58 per credit; and for Kaspr, it's 0.6 per credit, while for Apollo, it's $2 per phone number.
However, you can buy extra Apollo credits, starting at 0.20 per phone number, but they do not rollover; if you don't use them immediately, you lose them. With Kaspr, you will pay 730 euros for 1000 credits.
When you use a chrome extension, you usually have a preview of the data you will get, so for some phone numbers; you can preview if it's mobile phone numbers or not.
However, this feature is not available with API for all services.
It is available for Datagma, where all the numbers we give you are certified Mobile Direct Line Phone Numbers.
You will pay only for mobile phone numbers. If the phone delivered is not a mobile phone, you are not paying anything.
Apollo says they only deliver mobile phone numbers, but when you check deeply, you can see that half the numbers they give are not mobile phone numbers.
For example, we did a little test with Apollo, asking them to enrich a list of French C-Level (we use French people cause it's easier for us to see if the numbers are mobile or not, as all mobile number in France begins with +33 6 or +33 7)
In this file, all the numbers in yellow are sold as mobile numbers, but they are landline numbers.
And further, all numbers in red are not french numbers, so those numbers are not false. Only one seems correct on a list of 9 phone numbers, meaning you pay 9x the price.
Unlike Datagma, with Lusha & Kaspr, you can choose to have only phone numbers.
This way, you will be charged only if the API delivers you a phone number, but you cannot specify to have only mobile phone numbers.
It will happen that you will pay for landline numbers, but of course, mobile phone numbers have different values than HQ phone numbers, so you are paying too much for something useless.
Moreover, with Kaspr, if you specify in the API the settings: Only phone numbers (even landline) will you pay twice the price like you can see in this Kaspr documentation:
Rollover of credits means that your unused credits will continue to roll over each month as long as you have a subscription to a service.
This way, you are not in a hurry at the end of the month to burn all your non-spent credits.
Lusha, Datagma, and Kaspr propose this feature but not by Apollo;
It means you have to calculate precisely what you need cause Apollo will put every credit remaining in the trash.
What happens when you stop your subscription?
With Apollo, Kaspr & Lusha, you will lose your unused credits, but with Datagma, you can pause your account as many times as you want.
This way, you get your credits back when you decide to take a new plan!
We all know that email and mobile phone numbers do not have the same value.
So it's weird when you use Lusha or Kaspr to pay the same price for an email and a phone.
Both services charge you one credit by email.
Even if here we are speaking about API to find mobile phone numbers, it's fair to add that Apollo and Datagma offer many emails in all their plans.
For Apollo, even if they call this unlimited, it's only 10 000 emails per month, and for Datagma, it's between (3750 and 45 000).
In conclusion, when choosing a phone number lookup service, it's essential to consider several factors.
These include the availability of API access, the price per credit or phone number, the rollover of credits, the ability only to have mobile phone numbers, and the number of free emails included in the plan.
While some services like Kaspr and Lusha require an enterprise plan for API access, Datagma and Apollo offer it in all their plans at a lower cost.
Additionally, Datagma and Apollo allow for only mobile phone numbers to be charged, while Kaspr and Lusha may charge for landline numbers as well.
Finally, the inclusion of free emails varies across services. Considering these factors, individuals and businesses can choose the phone number lookup service that best fits their needs and budget.
Are you looking for a Lusha Alternative? In this article, we will compare the key points between Lusha & Datagma, including pricing, % of phones numbers found, features, and email accuracy.
Lusha has built a great product to help companies find phone numbers. And suppose you’re here because you’re evaluating Datagma vs. Lusha or looking for Lusha alternatives. In that case, you’re already doing the right thing by finding a product that will help your sales team have more contact information.
However, before engaging, it’s essential to compare the pros and cons of each tool before choosing.
We are here to help you decide.
I can imagine that you do not want to read the whole article; in this case, a table summarizes all the pros and cons of using Lusha over Datagma.
| Feature | Datagma | Lusha |
|---|---|---|
| Price per phone number | $0.58 (Premium plan) | $0.75 (Premium plan) |
| Emails included | Yes, between 3750 and 45 000 | No. 1 credit = 1 email |
| Pausing account available | Yes | No, all unused credits are lost at unsubscribe |
| Credits Roll Over | Yes | Yes |
| Email verification | Yes, by Neverbounce | No |
| API Access | Starting at $39 a month | Starting at $7000 a year |
| CSV Enrichment | Starting at $69 a month | Starting at $7000 a year |
| Use of filters in the search engine | Yes (Only Fourth) | Yes (More than 10) |
| Chrome Extension | Yes | Yes |
| % of phone numbers found US | 72% | 46% |
| % of phone numbers found India | 77% | 44% |
Now let’s enter in details and check if Datagma could be a real Lusha alternative.
First, let’s see what you can do with Lusha and Datagma.
You might be asking – if you could do all these on both platforms, then what’s the difference between Datagma and Lusha?
Let’s first look at the benefits of using Datagma, then we’ll see where Lusha is better;
The majority of people are using Lusha to find phone numbers, so when they look for a Lusha Alternativ, they look for a tool able to find as many phone numbers as Lusha;
We realized a simple test: we scraped 400 random people on Linkedin in Linkedin Sales Navigator using Evaboot, a scraping tool.
Here are the search criteria we used in the order (Location, Title, Headcount, industries)
We got these files:
Then we enrich it with phone numbers (via the File Upload feature, also named CSV Enrichment) in Datagma.
For Lusha, we do not have access to CSV Enrichment, so we had to visit each profile manually. It takes 12 hours for a freelancer we hired on Upwork. (and cost us money 🙂 )
Here is what we found
| US Sample | Datagma | Lusha |
|---|---|---|
| Total rows | 200 | 200 |
| Total numbers found | 146 | 92 |
| % of numbers found | 72% | 46% |
| Only mobile numbers | yes | no |
And for the India sample :
| India Sample | Datagma | Lusha |
|---|---|---|
| Total rows | 200 | 200 |
| Total numbers found | 154 | 88 |
| % of numbers found | 77% | 44% |
| Only mobile numbers | yes | no |
So If you are looking for mobile phone numbers, it’s better to choose Datagma.
With Datagma, you can upload CSV or Excel files to find up to 50 000 mobile phone numbers in minutes, while with Lusha, you have to visit each profile to find their phone numbers which is a painfully slow way to prospect.
This feature alone could save you hours every week if you’re planning to make outbound calls.
When choosing the right tool, you must look at the ones that can speed up your prospecting workflow.
Here is an interactive demo about how you can find 10 000 phone numbers same time with Datagma. Click on the blue tooltip to play with the demo.
The CSV enrichment is available on Lusha , but only on their enterprise plan, that start at $7000 a month, while you can enjoy it with Datagma for $69.
You could also use Datagma’s file upload feature to find all the employees in up to 1000 companies at a time:
The File upload feature also allows you to Track job change detection for up to 1000 contacts
If you want to speed up your prospecting workflow, sign up with Datagma now.
If you want to automate your workflow or connect to your CRM, Datagma has built an open API and ready-made integrations with Zapier, Make, N8N, Captain Data, Clay, Surfe (Leadjet), etc.
We are working on adding more integrations every month.
You can even build your own tools integrations, as the API is open and easy to use.
Lusha also has an extensive API starting at $7000 per year. This can be a substantial amount for most teams. While there’s no extra cost for using Datagma API, it’s included in all our plans.
Another critical difference between Datagma and Lusha API is that Lusha API will give you the HQ phone numbers, while Datagma will only provide mobile phone numbers.
You can find Datagma API documentation here.
Lusha charges you between $0.98 (on Pro plan) and $0.75 (on Premium plan), while Datagma phone numbers will cost you between $0.6 and $0.58.
As you can see, with Datagma, each phone number will cost you between 30% and 60% less than Lusha.
Moreover, with Datagma, you don’t pay anything for the landline phone numbers. If we do not find mobile phone numbers, we do not charge you anything. We charge credits only when at least we find a mobile phone number.
There’s no add-on pricing. All the integrations, email verification, and API are available in the lower plan in Datagma.
Lusha charges you the same credit for phone numbers and email addresses, which comes to $0.86 on their cheapest plan, while the smallest paid plan at Datagma comes with 3850 work-verified emails included.
With Datagma, you can get 8000 verified emails for $69 a month.
Our email accuracy and deliverability are higher than Lusha because we verified all the emails with Neverbounce – the industry’s more trusted email verification solution.
With Datagma, you’re getting more verified emails, whereas, with Lusha, you’re getting outdated data.
You can use Neverbounce or any other email verification service to verify email addresses from Lusha, but you’re going to pay extra and spend even more time on getting accurate email addresses.
Our pricing is more friendly to bigger teams with higher needs. on emails;
Datagma provides automatic enrichment of your Hubstpot and Pipedrive (others CRMs are coming). Whenever you create a contact in the CRM, we add relevant information about him and his company, including more than 70 custom properties (Here is the list of enriched custom properties in Hubspot).
This way, you can customize your outreach, prioritize your inbound leads, assign them to the right sales, do slack alert, once you activate Hubspot Enrichment, there is plenty of things to do.
Moreover, when one of your contacts moves to a new company, we can detect this change in real time and inform you, so instead of calling cold people, you outreach warm people who already know you.
It’s easier to convert someone who was already in contact with you than someone you never talked to him in the past.
The job change detection in Hubspot feature exists in Datagma but not in Lusha, reinforcing our tool as an alternative to Lusha.
Both Lusha and Datagma propose the rollovers on the unused credits.
On monthly plans, your unused credits will continue to roll over each month as long as you have a subscription.
But with Lusha, when you end your subscription, all the credits you have been lost forever. Lusha can put all the credits you paid in the trash.
However, in Datagma, you can pause your account for symbolic fees and keep your credits warm during your pause. Then, when you want to activate your account, your credits will be waiting for you!
Here is another reason which makes Datagma a solid alternative to Lusha.
We suggest Datagma as an alternative to Lusha, but for the reasons below, you might prefer Lusha.
As you know, Datagma does not have a database, and we make every request in real time by crawling publicly accessible sources on the internet.
This way, we are sure not to have any outdated data.
For this reason, our website search filter are limited: Full Name, Company, Role, and Location.
If you are looking for more elaborated filters like the technology used, or company size, you will not find them in Datagma.
However, there are several solutions to bypass this.
The best way is to use LinkedIn as your search engine and export and use Datagma to enrich the results.
First, you can use the Datagma Chrome Extension to reveal the email and phone number of targets directly by browsing a LinkedIn profile,
Secondly, you can use a third-party tool like Evaboot to scrap LinkedIn search results massively and then enrich LinkedIn URLs with mobile phone numbers by using the File Upload (CSV enrichment) feature.
Unlike Datagma, the Lusha Extension also works on LinkedIn Recruiters, as the Datagma Chrome Extension works only on regular LinkedIn profiles and LinkedIn Sales Navigator.
Lusha extension also allows the use of Lusha Everywhere.
When you navigate on a website, Lusha can list the employees and the contact information without having to go on LinkedIn. The same option exists when you visit a CRM contact.
This is yet to be possible with Datagma.
These are some significant differences between Lusha and Datagma. Consider these differences when picking an alternative to Lusha.
While Datagma is significantly cheaper than Lusha, it is much faster and more accurate to find information, enrich data, and prospect with Datagma.
Our pricing starts at just $39/month for up to 3750 email searches and 50 mobile phone numbers included in it.
If you are an enterprise team, we can scale your prospection just as easily with 100,000 email addresses and up to 50 000+ phone number searches a month. Contact us now.
If you are looking for a Clearbit Alternative; you are in the right place.
Data enrichment can be a tricky business. That’s why platforms like Clearbit and Datagma exist; they give you the data you need to prioritize inbound leads or reach out to the right clients for your business. You need enriched data to enhance your CRM; even if you have partial data. However, the question remains: which option is the best for your business?
Obviously, we’re a little biased toward ourselves. But in the air of honesty, we want to present both the good and less-than-good of both Clearbit and Datagma, so you can consider choosing a Clearbit alternative.
Here are the pros and cons of using Clearbit compared to our services here at Datagma:
Let’s start with the negatives so that we can end this on a positive note.
Clearbit technologies are 100% based on a large database of information. Specifically, they store emails & associated data. In accordance with the GDPR, or the General Data Protection Regulation, the processing is only allowed by the GDPR if either the data subject has consented or there is another legal basis. Therefore, using Clearbit’s platform is illegal within Europe or to gain personal information from European citizens.
There is, however, a workaround. Clearbit has a GDPR Suppression Setting that will keep information from European citizens or those with an unconfirmed location from being returned during data enrichment. You can read more about that feature here.
Once you activate the GDPR setting in Clearbit, you will not have any data linked to Europeans.
But what about us? Datagma has no database, and everything is based on crawling public sources in real-time. We can only access publicly available information at the time of your search. Therefore, we are 100% GDPR Compliant without having to turn on extra settings.
Considering a legal and compliant Clearbit alternative is essential for the possible legal impact on your business.
Since we don’t have a database, Datagma isn’t limited to data stored in a database. When you use us, we immediately crawl the internet for publicly available data.
The issue lies with Clearbit, which relies on stored information in its database. If a contact moves to a new company recently, then they will not have updated information on the lead, like a new email or new place of work; you are now working with out-of-date information. You could also miss out on leads that haven’t been entered into Clearbit’s database yet.
Both of these issues mean there is some risk when using Clearbit; you might miss out on leads that would otherwise benefit from your services.
Clearbit asks for an upfront payment for a full year of service… but what if you don’t need their services for a full year? What if you decide to go with someone else? Unfortunately, the only option to pay for any of Clearbit’s services is an entire year at once. Sometimes, the higher price also isn’t feasible for younger companies.
With Datagma, however, all our services can be purchased through a monthly subscription, and you can cancel anytime you want, with no commitments necessary. This means you only have to pay for Datagma when you’re using it.
When you consider choosing a Clearbit alternative, you need to consider the possible inputs you can submit for enrichment.
With Clearbit, the only information allowed to be inputted are email addresses or domain names. This makes enrichment campaigns harder, as sometimes you have other information about your leads.
If you choose to go with Datagma, you can input emails and domain names but also full names, company names, and even social profiles. Thanks to all these possible inputs, you can even enrich partial data.
Since we do live crawling, we can find more data about the person than they do; We found approximately the same number of data about companies - around 85% - but far more than them when you are looking for persons data. We have a 86% hit rate for personal, whereas Clearbit’s hit rate was only 49%.
When you choose to use Clearbit, you’re missing out on 37% of the personal data you could use during the enrichment process.
In most cases, Clearbit responds in less than 1 second, which is impressive. They use stored data with their services, so they only have to search their own system; which takes less time than real time live crawling.
Datagma returns data slower, since we crawl the internet in real-time to find the data you need for your project. However, it should be mentioned that Datagma’s return time is only a few seconds more, averaging around 3 seconds to live crawl for data according to your filters.
If your project needs a response time under 1 second, go with them.
Datagma has integrations with N8N, Zapier, Integromat, Captain Data, Surfe, Leadjet, Hubspot, Clay.run, and we also offer an amazingly easy-to-use API. This can be plenty of tools to run your business and utilize your newly enriched data.
This is especially convenient when transferring your business from its current data enrichment platform to ours if you’re already used to integrations like these.
That said, Clearbit is integrated with some tools we are not yet, like Calixa and Tray.io. If you need either of these tools for your business or are, at the very least, considering them, it could be best to go with Clearbit’s services.
With all these elements, you can now consider choosing the right Clearbit alternative.
Here is the story. You are looking for mobile phone numbers We have two differents databases (Easy Search And Advanced Phone Search). The Easy Search can be used with search Engine, Chrome extension or file upload. The advanced Phone Search with search engine only. Here is how to proceed.
Ever heard of Exotec? How about EcoVadis or Ivalua?
Before writing this article, I didn't know them either, yet these are three unicorns. If tomorrow the head of sales (replace sales by what you want depending on your industry: HR, data, legal, marketing...) creates an account on your website, wouldn't you like to know in real time? Thanks to Hubspot enrichment, it's easily doable. Here is how.
At Datagma, we know how to enrich data.
Here’s a step-by-step description of the different actions we’ve implemented to do Hubspot enrichment and use all new data in our whole stack.
It allows us to increase our free-to-paid conversion rate by 134% over the last two months, and this will allow any PLG company to improve its conversion thanks to data.
Before we get into the details of our process, here’s what we do.
I am the founder of a bootstrapped SaaS.
I can't afford to have 50 salespeople, and I want users to upgrade as much as possible on their own. We are developing a 100% product-led growth model.
On our first 10K of MMR, the onboarding (both on the site and in the emails we sent) was geared towards getting as many demos as possible, but there came a point where I had so many people sign up per day that I was spending too much energy on useless demos for curious people that I couldn't convert—even with the strongest determination.
We had to prioritize our actions and time so we could devote it to those who were most likely to convert.
To this end, we enrich each new user of our site with data related to the person and his/her company in order to:
To achieve this, we use a native integration of Datagma that allows Hubspot enrichment
Hubspot then distributes data to the other tools in the stack.
Here’s how to proceed in detail.
I’ll tell you a little secret: I don't have a customer relationship management tool, and I don't use Hubspot in place of one.
However, it is the base of our pyramid that will allow us to perform more specific actions.
I use Hubspot to host data that will then be sent to all the other tools in our stack.
The ultimate goal is to send enriched and actionable data.
To achieve this, I first need to add all our new users to Hubspot so they can be enriched by Datagma.
There are several ways to add new users to my site in Hubspot:
The first one was not retained because it was not economically practical enough, given the number of actions per day.
We didn’t consider the second one for long, either: too technical.
The third one requires a Hubspot Enterprise subscription, so we also dropped that one.
Ultimately, we kept the fourth option:
Easy one! That’s great news because that’s our job.
At Datagma, we have developed a native integration with Hubspot that allows you to enrich all Hubspot contacts by email address automatically. We instantly add more than 50 fields (see the full list here).
You can enrich all contacts in the CRM or only those in a particular list, whether dynamic or static.
To do this, head over to the Datagma integration page and select “Hubspot.”
Click on “connect,” then select the list(s) you want to be enriched.
Next, we’ll:
Now that your contacts in Hubspot are enriched, you need to be able to obtain this data from your stack’s other tools.
This is where the Hubspot Operation Hub comes into play. Its purpose is to synchronize Hubspot with the other tools you use.
Two main tools here: Intercom & Slack
If an executive from a company that raised money last week registers on your site, wouldn't you like to know it in real-time?
So you can take back control of your automation or track your live session?
Well, here it is.
We currently have about 50 new registrations per day on Datagma; some correspond more than others to our ICP (ideal customer profile), whether it be for the company (for us, SAAS, recruitment firm, or even better SaaS in recruitment) or the person, and whether it be for their role (sales, data, or growth) or their seniority (head, CXO).
When a user matching the ICP signs up, I want to personally initiate the conversion as soon as possible.
This means I want to take him out of our automatic onboarding emails and send him a message I will write myself.
So, I linked Hubspot to Slack to post all new sign-ups directly to Slack with all the enriched details about the person.
It looks like this:
As I'm connected to Slack all day long, I never miss an exciting signup, whereas when I only had the email notifications, I could miss little nuggets (I take my example above, but an email in @exotec.com doesn't speak, whereas is already more pictorial.
I use Zapier to automate this (Trigger: new contact in Hubspot -> Action Slack Message).
If you want a detailed playbook, you can read how to get notifications in slack for new HubSpot contacts.
Intercom is the central point of our onboarding and marketing.
We have a multifaceted product that is aimed at developers (API), sales (our Chrome extension) or marketing (CRM enrichment), and the onboarding must be different for each user.
Since our onboarding emails originate from Intercom, I send all the data enriched in Hubspot directly to Intercom—again through the Hubspot for Intercom application in the HubSpot operations Hub.
I can then create rules for sending emails, as shown below:
Thus, each user has a personalized onboarding according to his role.
Many sales are concluded live, by answering a user's question in the chat.
I also like to have as much context as possible when I converse with someone.
On usage (and thank you segment that sends all data live to Intercom) but also on PKI. Who is he? How many employees does the company have? Have they raised funds?
Datagma makes all this useful data available to me directly via Intercom.
As you can see, the use cases are unlimited. As soon as you have the data, you have more control and waste less time.
Whether you’re in a PLG or not, Hubspot enrichment is crucial, and Datagma can help you.
Connaissez-vous Exotec ? EcoVadis, Ivalua ?
Et bien moi je ne les connaissais pas avant de rédiger cet article, pourtant ce sont trois licornes françaises. Si demain le head of sales (remplacer sales par ce que vous voulez en fonction de votre industrie : HR, Data, legal, marketing...) s'inscrit sur votre site, vous n'aimeriez pas le savoir en temps réel ?
Ça tombe bien, chez Datagma, on sait enrichir la donnée.
Voici étape par étape les différentes actions qu'on a mises en place, qui nous on permis d'augmenter notre taux de free to paid de 134% sur les 2 derniers mois, et qui permettront à n'importe quelle société en PLG d'améliorer sa conversion grâce à la Data.
Avant de rentrer dans le détails de comment nous le faisons, voici ce que nous faisons.
Je suis le fondateur d'un SAAS bootstrapé.
Je n’ai pas les moyens d’avoir 50 commerciaux, et je veux que les utilisateurs upgrade au maximum par eux-mêmes. Nous dévelopons un modèle 100% Product-Led-Growth.
Sur nos premiers 10K de MMR, l'onboarding (tant sur le site que dans les e-mails que nous envoyions) était orienté pour obtenir le plus de démos possible, mais il arrive un moment ou j'avais tellement de sign ups par jour, que je dépensais trop d'énergie en démos inutiles, sur des gens curieux, que je ne pouvais convertir même avec la meilleure volonté du monde.
Il a fallu prioriser nos actions, prioriser notre temps, pour pouvoir le consacrer à ceux qui avaient le plus de chance de convertir.
Pour cela nous enrichissons chaque nouvel utilisateur de notre site avec des données sur la personne et des données sur sa société afin de :
Pour ce faire on utilise l'intégration native entre Datagma et Hubspot.
Hubspot va ensuite distribuer nos données aux autres outils de la stack.
Voici comment procéder en détail.
Petite confidence : Je n'ai pas de CRM et je ne me sers pas d'Hubspot comme un CRM.
Cependant c'est la base de notre pyramide qui va ensuite nous permettre d'effectuer des actions plus spécifiques.
Je me sers d’Hubspot comme d’un Hub ou je peux héberger mes données qui seront ensuite envoyées à tous les autres outils de notre stack.
L’objectif final étant d’envoyer des données enrichies et actionnables.
Pour ce faire, je dois d'abord ajouter tous nos nouveaux users dans Hubspot pour qu'ils soient enrichis par Datagma.
Plusieurs solutions sont possibles pour ajouter les nouveaux utilisateurs de mon site dans Hubspot :
On n’a pas retenu la première car trop peu économique vu le nombre d’action par jour.
On n'a pas retenu la deuxième car trop technique
On n'a pas retenu la troisième car il faut un plan Hubspot Enterprise
On a retenu la quatrième :
Dès qu'un user sign-up sur notre site, Segment l'envoie à Intercom.
Et comme Intercom est synchronisé avec Hubspot (on y reviendra plus bas) alors cet utilisateur va également être ajouté en temps réel dans Hubspot.
Alors là, cela tombe bien, c’est notre métier.
Chez Datagma on a développé une intégration native avec Hubspot qui permet d'enrichir automatiquement tous les contacts Hubspot à partir de leur e-mail. On ajoute plus de 50 champs (dont la liste est visible ici) instantanément
Vous pouvez choisir d'enrichir tous les contacts du CRM, ou uniquement les contacts qui sont dans une liste en particulier, qu'elle soit dynamique ou statique.
Pour ce faire vous vous rendez sur la page intégration de Datagma
Vous selectionnez Hubspot
Vous cliquez sur connecter et vous sélectionner la, ou les listes que vous voulez voir enrichies.
Nous allons alors :
Maintenant que ces contacts Hubspot sont enrichis il faut pouvoir obtenir ces données dans les autres outils de votre stack
C’est ici qu’entre en scène le Hubspot Operation Hub qui à pour finalité de pouvoir synchroniser Hubspot avec les autres outils que vous utilisez.
Deux outils principaux ici : Intercom & Slack
Connaissez-vous Exotec ? EcoVadis, Ivalua ?
Si un executive d'une boîte qui a levé des fonds la semaine dernière s'inscrit sur votre site, vous n'aimeriez pas le savoir en temps réel ?
Pour pouvoir reprendre la main sur vos automations ?
Pour tracker sa session en direct ?
Et bien voila.
Nous avons actuellement 50 sign up par jour sur datagma ; certains correspondent plus que d'autres à notre ICP (ideal customer profile) que ce soit sur la société (pour nous, SAAS, Cabinet de recrutement, ou encore mieux des SAAS dans le recrutement 🙂 ou pour la personne, que ce soit son rôle (Sales, Data, Growth) ou sa seniority (Head of, CXO)
Lorsqu'un user correspondant à l'ICP s'inscrit, je souhaite engager la conversion personnellement le plus rapidement possible.
Personnellement cela signifie que je souhaite le sortir de nos mails automatiques d'onboarding et lui envoyer directement un message que j'aurai rédigé moi-même.
J'ai donc relié Hubspot à Slack pour poster directement dans Slack tous les nouveaux sign up, avec tous les détails enrichis sur la personne.
Cela ressemble à ça :
Comme je suis connecté à Slack toute la journée, je ne manque jamais un sign up intéressant, alors que quand je n'avais que l'email dans la notification, je pouvais passer à côté de petites pépites (Je reprends mon exemple plus haut, mais un e-mail en @exotec.com ça ne parle pas, alors que 🦄 c'est déjà plus imagé.
Pour réaliser cette automation je passe par Zapier (Trigger : new contact in Hubspot --> Action Slack Message)
Intercom est le point centrale de notre onboarding et de notre marketing.
Nous avons un produit multiple, qui s'adresse tant aux développeurs (API) qu'aux sales (notre extension Chrome) ou au marketing (l'enrichissement CRM) , et en fonction l'onboarding doit être différent.
Comme nos e-mails d'onboarding partent d'Intercom, j'envoie toutes les données enrichies dans Hubspot directement dans Intercom, la encore grâce à l'application Hubspot pour Intercom dans le HubSpot operations Hub.
Je peux ensuite créer des règles pour l'envoie d'email, par exemple :
ou encore
Ainsi chaque user à un onboarding personnalsié en fonction de son rôle.
Beaucoup de ventes se concluent en direct, en répondant à un user qui pose une question sur le chat.
Et j’aime avoir le maximum de contexte quand je converse avec quelqu'un.
Sur l’usage (et merci segment qui envoie toutes les données en direct à Intercom) mais également sur l’ICP. Qui est il, combien d'employée a la société ? Ont-ils levé des fonds ?
Autant de données intéressantes que Datagma met à ma disposition directement dans Intercom.
Comme vous le voyez les use cases sont illimités, à partir du moment où vous avez la donnée, vous avez plus de contrôle, et vous perdez moins de temps. Que vous soyez en PLG ou non, l'enrichissement des données est obligatoire et Datagma peut vous accompagner.